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All About the GANs 본문

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All About the GANs

거부기아찌 hollobit 2018.01.02 21:24

All About the GANs

Latest version : https://github.com/hollobit/All-About-the-GAN 

GAN(Generative Adversarial Networks) are the models that used in unsupervised machine learning, implemented by a system of two neural networks competing against each other in a zero-sum game framework. It was introduced by Ian Goodfellow et al. in 2014.

The purpose of this repository is providing the summarized list of the state-of-the-art works on the field of Generative Adversarial Networks since their introduction in 2014.

It provides a list that merged information from various GAN lists and repositories as below:

:link: Reference repositories


You can also check out the same data in a tabular format with functionality to filter by year or do a quick search by title here.

Contributions are welcome. Please contact me at hollobit@etri.re.kr or send a pull request. You can have to add links through pull requests or create an issue which something I missed or need to start a discussion.


  1. 3D Medical Image Synthesis using Generative Adversarial Networks ( ) - (Search) (Scholar) (PDF)

    • 2017/ Citation:
  2. 3D Object Reconstruction from a Single Depth View with Adversarial Learning? ( 3D-RecGAN ) - (Search) (Scholar) (PDF) (arXiv) (github)

  • 2017/8 Citation: 0 Applied Vision
  1. 3D Reconstruction of Incomplete Archaeological Objects Using a Generative Adversary Network ( ORGAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/11 Citation: 0
  1. 3D Shape Induction from 2D Views of Multiple Objects (PrGAN)? ( PrGAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2016/12 Citation: 9 Applied Vision
  1. A Classification-Based Perspective on GAN Distributions? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/11 Citation: 1 Theory & Machine Learning
  1. A Connection between Generative Adversarial Networks, Inverse Reinforcement Learning, and Energy-Based Models? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2016/11 Citation: 16 Theory & Machine Learning
  1. A General Retraining Framework for Scalable Adversarial Classification? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2016/4 Citation: 6 Theory & Machine Learning
  1. A generative adversarial framework for positive-unlabeled classification ( GPU ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/11 Citation: 0
  1. A Generative Model for Volume Rendering ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/10 Citation: Applied Other
  1. A Novel Approach to Artistic Textual Visualization via GAN? ( GAN-ATV ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/10 Citation: 0 Applied Vision
  1. A step towards procedural terrain generation with GANs? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/7 Citation: 0 Applied Vision
  1. A Study of Cross-domain Generative Models applied to Cartoon Series? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/9 Citation:
  1. A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/4 Citation: 12 Object Detection
  1. ABC-GAN: Adaptive Blur and Control for improved training stability of Generative Adversarial Networks ( ABC-GAN ) - (Search) (Scholar) (PDF) (github)
  • 2017/8 Citation: 0
  1. Abnormal Event Detection in Videos using Generative Adversarial Nets? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/8 Citation: 0 Applied Vision
  1. Accelerated Magnetic Resonance Imaging by Adversarial Neural Network?[DLMIA MICCAI 2017] ( ) - (Search) (Scholar) (PDF)
  • 2017/9 Citation: Medical: Reconstruction
  1. Activation Maximization Generative Adversarial Nets ( AM-GAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/3 Citation: Theory & Machine Learning
  1. ACtuAL: Actor-Critic Under Adversarial Learning ( ACtuAL ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/11 Citation:
  1. AdaGAN: Boosting Generative Models? ( AdaGAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/1 Citation: 19 Ensemble, Theory & Machine Learning
  1. Addressing Challenging Place Recognition Tasks using Generative Adversarial Networks? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/9 Citation:
  1. Adversarial Attacks on Neural Network Policies? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/2 Citation: 21
  1. Adversarial Autoencoders? ( ) - (Search) (Scholar) (PDF) (arXiv) (github)
  • 2015/11 Citation: 163 Theory & Machine Learning
  1. Adversarial Deep Structural Networks for Mammographic Mass Segmentation? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2016/12 Citation: 7 Semantic Segmentation
  1. Adversarial Deep Structured Nets for Mass Segmentation from Mammograms ( ) - (Search) (Scholar) (PDF) (arXiv) (github)
  • 2017/10 Citation: Medical: Segmentation
  1. Adversarial Discriminative Domain Adaptation? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/2 Citation: 52 Theory & Machine Learning
  1. Adversarial Examples for Semantic Segmentation and Object Detection? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/7 Citation: 17
  1. Adversarial Feature Learning (BiGAN)? ( BiGAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2016/5 Citation: 142 Theory & Machine Learning
  1. Adversarial Generation of Natural Language? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/5 Citation: 4 Applied Other
  1. Adversarial Generation of Training Examples for Vehicle License Plate Recognition? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/7 Citation: 1 Applied Vision
  1. Adversarial Generator-Encoder Networks? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/4 Citation: 9 Theory & Machine Learning
  1. Adversarial Image Alignment and Interpolation? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/6 Citation:
  1. Adversarial Image Perturbation for Privacy Protection--A Game Theory Perspective ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/3 Citation: 6
  1. Adversarial Image Synthesis for Unpaired Multi-Modal Cardiac Data?[SASHIMI 2017] ( ) - (Search) (Scholar) (PDF)
  • 2017/9 Citation: Medical: Synthersize
  1. Adversarial nets with perceptual losses for text-to-image synthesis? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/8 Citation: 0 Applied Vision
  1. Adversarial Networks for Spatial Context-Aware Spectral Image Reconstruction from RGB? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/9 Citation: 0 Applied Vision
  1. Adversarial Networks for the Detection of Aggressive Prostate Cancer? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/2 Citation: 3 Medical: Detection
  1. Adversarial PoseNet: A Structure-aware Convolutional Network for Human Pose Estimation? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/5 Citation: 7 Applied Vision
  1. Adversarial Ranking for Language Generation ( RankGAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/5 Citation: Applied Other
  1. Adversarial Representation Learning for Domain Adaptation ( ARDA ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/7 Citation:
  1. Adversarial training and dilated convolutions for brain MRI segmentation? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/7 Citation: Medical: Segmentation
  1. Adversarial Training For Sketch Retrieval (SketchGAN)? ( SketchGAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2016/7 Citation: 4 Applied Vision
  1. Adversarial Training Methods for Semi-Supervised Text Classification? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2016/5 Citation: 9 Semi-supervised learning
  1. Adversarial Transformation Networks: Learning to Generate Adversarial Examples ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/3 Citation: 11
  1. Adversarially Learned Inference (ALI)? ( ALI ) - (Search) (Scholar) (PDF) (arXiv) (github)
  • 2016/6 Citation: 129 Joint Probability
  1. Adversarially Regularized Autoencoders for Generating Discrete Structures ( ARAE ) - (Search) (Scholar) (PDF) (arXiv) (github)
  • 2017/6 Citation:
  1. AE-GAN: adversarial eliminating with GAN ( AE-GAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/7 Citation: Theory & Machine Learning
  1. Aesthetic-Driven Image Enhancement by Adversarial Learning? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/7 Citation: 1 Applied Vision
  1. Age Progression / Regression by Conditional Adversarial Autoencoder? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/2 Citation: 12 Applied Vision
  1. ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching? ( ALICE ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/9 Citation: 5
  1. AlignGAN: Learning to Align Cross-Domain Images with Conditional Generative Adversarial Networks? ( AlignGAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/7 Citation: 2 Applied Vision
  1. Amortised MAP Inference for Image Super-resolution (AffGAN)? ( AffGAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2016/10 Citation: 52 Applied Vision
  1. An Adversarial Regularisation for Semi-Supervised Training of Structured Output Neural Networks? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/2 Citation: 0 Theory & Machine Learning
  1. An Online Learning Approach to Generative Adversarial Networks ( Chekhov GAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/6 Citation:
  1. Anti-Makeup: Learning A Bi-Level Adversarial Network for Makeup-Invariant Face Verification? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/9 Citation: 0 Applied Vision
  1. APE-GAN: Adversarial Perturbation Elimination with GAN? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/7 Citation: 0 Theory & Machine Learning
  1. Arbitrary Facial Attribute Editing: Only Change What You Want ( AttGAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/11 Citation:
  1. Are GANs Created Equal? A Large-Scale Study ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/11 Citation:
  1. Are You Talking to Me? Reasoned Visual Dialog Generation through Adversarial Learning ( CoAtt-GAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/11 Citation:
  1. ARIGAN: Synthetic Arabidopsis Plants using Generative Adversarial Network? ( ARIGAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/9 Citation: 0 Applied Vision
  1. ArtGAN: Artwork Synthesis with Conditional Categorial GANs? ( ArtGAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/2 Citation: 1 Applied Vision
  1. Artificial Generation of Big Data for Improving Image Classification: A Generative Adversarial Network Approach on SAR Data? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/11 Citation: 0 Applied Vision
  1. Associative Adversarial Networks? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2016/11 Citation: 1 Theory & Machine Learning
  1. Attend, infer, repeat: Fast scene understanding with generative models? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2016/3 Citation: 42
  1. AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks ( AttnGAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/11 Citation:
  1. Auto-Encoder Guided GAN for Chinese Calligraphy Synthesis? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/6 Citation: 3 Applied Vision
  1. Auto-painter: Cartoon Image Generation from Sketch by Using Conditional Generative Adversarial Networks? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/5 Citation: 2 Applied Vision
  1. Autoencoding beyond pixels using a learned similarity metric (VAE-GAN)? ( VAE-GAN ) - (Search) (Scholar) (PDF) (arXiv) (github)
  • 2015/12 Citation: 155 Face Generative and Editing
  1. Automatic Liver Segmentation Using an Adversarial Image-to-Image Network? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/7 Citation: 1 Medical: Segmentation
  1. Bayesian Conditional Generative Adverserial Networks? ( BCGAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/6 Citation: 0 Theory & Machine Learning
  1. Bayesian GAN? ( Bayesian GAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/5 Citation: 3 Theory & Machine Learning
  1. BEGAN: Boundary Equilibrium Generative Adversarial Networks? ( BEGAN ) - (Search) (Scholar) (PDF) (arXiv) (github)
  • 2017/3 Citation: 82 Theory & Machine Learning
  1. Beyond Face Rotation: Global and Local Perception GAN for Photorealistic and Identity Preserving Frontal View Synthesis (TP-GAN)?(ICCV 2017) ( TP-GAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/4 Citation: 26 Face Generative and Editing
  1. Bidirectional Conditional Generative Adversarial networks ( BCGAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/11 Citation:
  1. Binary Generative Adversarial Networks for Image Retrieval? ( BGAN ) - (Search) (Scholar) (PDF) (arXiv) (github)
  • 2017/8 Citation: 0 Theory & Machine Learning
  1. Biomedical Data Augmentation Using Generative Adversarial Neural Networks?[ICANN 2017] ( ) - (Search) (Scholar) (PDF)
  • 2017/10 Citation: Medical: Synthersize
  1. Boundary-Seeking Generative Adversarial Networks (BS-GAN)? ( BS-GAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/2 Citation: 18 For discrete distributions
  1. C-RNN-GAN: Continuous recurrent neural networks with adversarial training? ( C-RNN-GAN ) - (Search) (Scholar) (PDF) (arXiv) (github)
  • 2016/11 Citation: 12 RNN
  1. CaloGAN: Simulating 3D High Energy Particle Showers in Multi-Layer Electromagnetic Calorimeters with Generative Adversarial Networks? ( CaloGAN ) - (Search) (Scholar) (PDF) (arXiv) (github)
  • 2017/5 Citation: 11
  1. CAN: Creative Adversarial Networks Generating ��Art�� by Learning About Styles and Deviating from Style Norms? ( CAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/6 Citation: 1 Applied Vision
  1. CatGAN: Coupled Adversarial Transfer for Domain Generation ( CatGAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/11 Citation:
  1. CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training ( CausalGAN ) - (Search) (Scholar) (PDF) (arXiv) (github)
  • 2017/9 Citation: 1 Theory & Machine Learning
  1. Channel-Recurrent Variational Autoencoders ( crVAE-GAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/6 Citation:
  1. ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity?? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/8 Citation: Applied Other
  1. Chinese Typeface Transformation with Hierarchical Adversarial Network ( HAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/11 Citation:
  1. Class-Splitting Generative Adversarial Networks? ( Splitting GAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/9 Citation: 1 Theory & Machine Learning
  1. cleverhans: A library for benchmarking vulnerability to adversarial examples ( CleverHANS ) - (Search) (Scholar) (PDF) (github)
  • 2017/ Citation:
  1. CM-GANs: Cross-modal Generative Adversarial Networks for Common Representation Learning? ( CM-GAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/10 Citation: 0 Theory & Machine Learning
  1. Comparison of Maximum Likelihood and GAN-based training of Real NVPs? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/5 Citation: 7 Theory & Machine Learning
  1. Composition-aided Sketch-realistic Portrait Generation ( CA-GAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/12 Citation:
  1. Compressed Sensing MRI Reconstruction with Cyclic Loss in Generative Adversarial Networks? ( RefineGAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/9 Citation: 1 Medical: Reconstruction
  1. Conditional Adversarial Network for Semantic Segmentation of Brain Tumor? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/8 Citation: 0 Medical: Segmentation
  1. Conditional Autoencoders with Adversarial Information Factorization ( IFcVAEGAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/11 Citation:
  1. Conditional CycleGAN for Attribute Guided Face Image Generation? ( Conditional cycleGAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/5 Citation: 6 Theory & Machine Learning
  1. Conditional Generative Adversarial Nets (CGAN)? ( CGAN ) - (Search) (Scholar) (PDF) (arXiv) (github)
  • 2014/11 Citation: 321 Conditional adversarial
  1. Conditional generative adversarial nets for convolutional face generation? ( ) - (Search) (Scholar) (PDF)
  • 2014/ Citation: 67 Applied Vision
  1. Conditional Generative Adversarial Networks for Speech Enhancement and Noise-Robust Speaker Verification? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/9 Citation:
  1. Conditional Image Generation with PixelCNN Decoders? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2016/6 Citation: 140
  1. Conditional Image Synthesis with Auxiliary Classifier GANs (AC-GAN)?(GoogleBrain ICLR 2017) ( AC-GAN ) - (Search) (Scholar) (PDF) (arXiv) (github)
  • 2016/10 Citation: 86 Conditional adversarial
  1. Connecting Generative Adversarial Networks and Actor-Critic Methods? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2016/10 Citation: 18 Theory & Machine Learning
  1. Context Encoders: Feature Learning by Inpainting? ( ) - (Search) (Scholar) (PDF) (arXiv) (github)
  • 2016/4 Citation: 217 Image Inpainting
  1. Context-Aware Generative Adversarial Privacy ( GAP ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/10 Citation:
  1. Contextual RNN-GANs for Abstract Reasoning Diagram Generation (Context-RNN-GAN)? ( Context-RNN-GAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2016/9 Citation: 6 Applied Vision
  1. Continual Learning in Generative Adversarial Nets? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/5 Citation: 1 Theory & Machine Learning
  1. Controllable Generative Adversarial Network? ( CGAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/8 Citation: 0 Applied Vision
  1. Controllable Invariance through Adversarial Feature Learning(NIPS 2017) ( ) - (Search) (Scholar) (PDF) (arXiv) (github)
  • 2017/5 Citation: Improving Classification And Recong
  1. Cooperative Training of Descriptor and Generator Networks? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2016/9 Citation: 10 Theory & Machine Learning
  1. Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields ( Coulomb GAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/8 Citation:
  1. Coupled Generative Adversarial Networks ( CoGAN ) - (Search) (Scholar) (PDF) (arXiv) (github)
  • 2016/6 Citation: 90 Image translation, Face Generative and Editing
  1. Creatism: A deep-learning photographer capable of creating professional work? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/7 Citation: 1 Applied Vision
  1. Crossing Nets: Combining GANs and VAEs with a Shared Latent Space for Hand Pose Estimation? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/2 Citation: 5 Applied Vision
  1. CVAE-GAN: Fine-Grained Image Generation through Asymmetric Training? ( CVAE-GAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/3 Citation: 3 Applied Vision
  1. Data Augmentation Generative Adversarial Networks ( DAGAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/11 Citation:
  1. Data Augmentation in Classification using GAN? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/11 Citation: 0 Applied Vision
  1. Data Augmentation in Emotion Classification Using Generative Adversarial Networks ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/11 Citation:
  1. DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks ( DeblurGAN ) - (Search) (Scholar) (PDF) (arXiv) (github)
  • 2017/11 Citation:
  1. Deep Adversarial Networks for Biomedical Image Segmentation Utilizing Unannotated Images?[MICCAI17] ( ) - (Search) (Scholar) (PDF)
  • 2017/9 Citation: Medical: Segmentation
  1. Deep and Hierarchical Implicit Models (Bayesian GAN)? ( Bayesian GAN ) - (Search) (Scholar) (PDF) (arXiv) (github)
  • 2017/2 Citation: 24 Theory & Machine Learning
  1. Deep De-Aliasing for Fast Compressive Sensing MRI ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/5 Citation: Medical: Reconstruction
  1. Deep Generative Adversarial Compression Artifact Removal? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/4 Citation: 1 Applied Vision
  1. Deep Generative Adversarial Networks for Compressed Sensing (GANCS) Automates MRI? ( GANCS ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/6 Citation: 9 Medical: Reconstruction
  1. Deep Generative Adversarial Neural Networks for Realistic Prostate Lesion MRI Synthesis? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/8 Citation: 0 Medical: Synthesize
  1. Deep Generative Filter for Motion Deblurring? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/9 Citation:
  1. Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks (LAPGAN)? ( LAPGAN ) - (Search) (Scholar) (PDF) (arXiv) (github)
  • 2015/6 Citation: 405 Applied Vision
  1. Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/2 Citation: 9
  1. Deep MR to CT Synthesis using Unpaired Data ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/8 Citation: Medical: Synthersize
  1. Deep multi-scale video prediction beyond mean square error?(Yann LeCun's paper) ( ) - (Search) (Scholar) (PDF) (arXiv) (github)
  • 2015/11 Citation: 200 Video Prediction and Generation
  1. Deep Unsupervised Representation Learning for Remote Sensing Images (MARTA-GAN)? ( MARTA-GAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2016/12 Citation: 1 Applied Vision
  1. DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data? ( DeliGAN ) - (Search) (Scholar) (PDF) (arXiv) (github)
  • 2017/6 Citation: 7 Applied Vision
  1. Demystifying AlphaGo Zero as AlphaGo GAN ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/11 Citation:
  1. Depth Structure Preserving Scene Image Generation? ( DSP-GAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/6 Citation: 0 Applied Vision
  1. Discriminative Region Proposal Adversarial Networks for High-Quality Image-to-Image Translation ( DRPAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/11 Citation:
  1. Disentangled Representation Learning GAN for Pose-Invariant Face Recognition ( ) - (Search) (Scholar) (PDF) > - 2017/Citation: 31

  2. Distributional Adversarial Networks ( DAN ) - (Search) (Scholar) (PDF) (arXiv)

  • 2017/6 Citation:
  1. DNA-GAN: Learning Disentangled Representations from Multi-Attribute Images ( DNA-GAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/11 Citation:
  1. Do GANs actually learn the distribution? An empirical study ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/6 Citation:
  1. Dual Discriminator Generative Adversarial Nets ( D2GAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/9 Citation:
  1. Dual Motion GAN for Future-Flow Embedded Video Prediction? ( DM-GAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/8 Citation: 5 Applied Vision
  1. DualGAN: Unsupervised Dual Learning for Image-to-Image Translation? ( DualGAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/4 Citation: 32 Applied Vision
  1. Dualing GANs? ( Dualing GAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/6 Citation: 0 Theory & Machine Learning
  1. Dynamics Transfer GAN: Generating Video by Transferring Arbitrary Temporal Dynamics from a Source Video to a Single Target Image ( Dynamics Transfer GAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/12 Citation:
  1. Dynamics Transfer GAN: Generating Video by Transferring Arbitrary Temporal Dynamics from a Source Video to a Single Target Image ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/12 Citation:
  1. End-to-end Adversarial Retinal Image Synthesis?[TMI]?(published vision of the above preprint) ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/10 Citation: Medical: Synthersize
  1. Energy-Based GANs & other Adversarial things by Yann Le Cun? ( ) - (Search) (Scholar) (PDF) > - 2016/12 Citation:

  2. Energy-based Generative Adversarial Network (EBGAN)?(Lecun paper) ( EBGAN ) - (Search) (Scholar) (PDF) (arXiv) (github)

  • 2016/9 Citation: 158 GAN Theory
  1. Energy-relaxed Wasserstein GANs(EnergyWGAN): Towards More Stable and High Resolution Image Generation ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/12 Citation:
  1. Energy-relaxed Wassertein GANs (EnergyWGAN): Towards More Stable and High Resolution Image Generation ( EnergyWGAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/12 Citation:
  1. Enhanced Experience Replay Generation for Efficient Reinforcement Learning ( EGAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/5 Citation:
  1. EnhanceGAN ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/ Citation: Super-Resolution
  1. EnhanceNet Single Image Super-Resolution through Automated Texture Synthesis? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2016/12 Citation:
  1. Ensembles of Generative Adversarial Networks? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2016/12 Citation: 4
  1. Explaining and Harnessing Adversarial Examples? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2014/12 Citation: 536 Theory & Machine Learning
  1. Exploring Speech Enhancement with Generative Adversarial Networks for Robust Speech Recognition ( FSEGAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/11 Citation:
  1. Exposure A White-Box Photo Post-Processing Framework? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/9 Citation:
  1. ExprGAN: Facial Expression Editing with Controllable Expression Intensity? ( ExprGAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/9 Citation: 2 Applied Vision
  1. Eye In-Painting with Exemplar Generative Adversarial Networks ( ExGAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/12 Citation:
  1. f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization? ( f-GAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2016/6 Citation: 114 Theory & Machine Learning
  1. Face Aging With Conditional Generative Adversarial Networks? ( acGAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/2 Citation: 16 Applied Vision
  1. Face Super-Resolution Through Wasserstein GANs? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/5 Citation: 1
  1. Face Transfer with Generative Adversarial Network? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/10 Citation: 0 Applied Vision
  1. Face Translation between Images and Videos using Identity-aware CycleGAN ( IdCycleGAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/12 Citation:
  1. Feature Generating Networks for Zero-Shot Learning ( f-CLSWGAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/12 Citation:
  1. Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/4 Citation: 22
  1. Filmy Cloud Removal on Satellite Imagery with Multispectral Conditional Generative Adversarial Nets? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/10 Citation: 0 Applied Vision
  1. Fisher GAN ( Fisher GAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/5 Citation:
  1. Flow-GAN: Bridging implicit and prescribed learning in generative models? ( Flow-GAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/5 Citation: 3 Theory & Machine Learning
  1. Frame Interpolation with Multi-Scale Deep Loss Functions and Generative Adversarial Networks ( FIGAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/11 Citation:
  1. Freehand Ultrasound Image Simulation with Spatially-Conditioned Generative Adversarial Networks? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/7 Citation: 0 Medical: Synthersize
  1. From source to target and back: symmetric bi-directional adaptive GAN? ( SBADA-GAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/5 Citation: 5 Applied Vision
  1. Full Resolution Image Compression with Recurrent Neural Networks? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2016/8 Citation: 29 Applied Vision
  1. GAGAN: Geometry-Aware Generative Adverserial Networks ( GAGAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/12 Citation:
  1. GAN Playground ( ) - (Search) (Scholar) (PDF) (arXiv) (github)
  • 2017/ Citation:
  1. Gang of GANs: Generative Adversarial Networks with Maximum Margin Ranking (GoGAN)? ( GoGAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/4 Citation: 5 Theory & Machine Learning
  1. GANGs: Generative Adversarial Network Games ( GANG ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/12 Citation:
  1. GANosaic: Mosaic Creation with Generative Texture Manifolds ( GANosaic ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/12 Citation:
  1. GANs comparison without cherry-picking ( ) - (Search) (Scholar) (PDF) (arXiv) (github)
  • 2017/9 Citation:
  1. GANs for Biological Image Synthesis? ( GAN-sep ) - (Search) (Scholar) (PDF) (arXiv) (github)
  • 2017/8 Citation: 3 Applied Vision
  1. GANs for LIFE: Generative Adversarial Networks for Likelihood Free Inference ( ABC-GAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/11 Citation:
  1. GANS for Sequences of Discrete Elements with the Gumbel-softmax Distribution ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2016/11 Citation: For discrete distributions
  1. GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/6 Citation:
  1. GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data?(BMVC 2017) ( GeneGAN ) - (Search) (Scholar) (PDF) (arXiv) (github)
  • 2017/5 Citation: 4 Face Generative and Editing
  1. Generalization and Equilibrium in Generative Adversarial Nets (MIX+GAN)?��ICML 2017�� ( MIX+GAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/3 Citation: 35 GAN Theory
  1. Generalization of Deep Neural Networks for Chest Pathology Classification in X-Rays Using Generative Adversarial Networks ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/12 Citation: Medical: Classification
  1. Generate Identity-Preserving Faces by Generative Adversarial Networks? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/6 Citation: 2 Applied Vision
  1. Generate To Adapt: Aligning Domains using Generative Adversarial Networks? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/4 Citation: 7 Applied Vision
  1. Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN (MalGAN)? ( MalGAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/2 Citation: 15 Applied Other
  1. Generating Images with Perceptual Similarity Metrics based on Deep Networks? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2016/2 Citation: 96 Unclassified
  1. Generating images with recurrent adversarial networks? ( GRAN ) - (Search) (Scholar) (PDF) (arXiv) (github)
  • 2016/2 Citation: 56 Theory & Machine Learning
  1. Generating Multi-label Discrete Electronic Health Records using Generative Adversarial Networks (MedGAN)? ( MedGAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/3 Citation: 5 Medical: EHRR
  1. Generating Videos with Scene Dynamics (VGAN)? ( VGAN ) - (Search) (Scholar) (PDF) (arXiv) (github)
  • 2016/9 Citation: 114 Video Prediction and Generation
  1. Generative Adversarial Imitation Learning? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2016/6 Citation: 61
  1. Generative Adversarial Mapping Networks ( GAMN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/9 Citation:
  1. Generative Adversarial Models for People Attribute Recognition in Surveillance? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/7 Citation: 1 Applied Vision
  1. Generative Adversarial Nets from a Density Ratio Estimation Perspective ( b-GAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2016/11 Citation:
  1. Generative Adversarial Nets with Labeled Data by Activation Maximization (AMGAN) ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/3 Citation: 2
  1. Generative Adversarial Nets?(the First paper of GAN) ( GAN ) - (Search) (Scholar) (PDF) (arXiv) (github)
  • 2014/6 Citation: 1948 The First paper
  1. Generative Adversarial Network based on Resnet for Conditional Image Restoration ( ResGAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/7 Citation: 0 Applied Vision
  1. Generative Adversarial Network-based Synthesis of Visible Faces from Polarimetric Thermal Faces? ( GAN-VFS ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/8 Citation: 1 Applied Vision
  1. Generative adversarial networks (GAN) applied to sequential data via recurrent neural networks (RNN) ( SequenceGAN ) - (Search) (Scholar) (PDF) (github)
  • 2017/ Citation:
  1. Generative Adversarial Networks as Variational Training of Energy Based Models (ICLR 2017) ( VGAN ) - (Search) (Scholar) (PDF) (arXiv) (github)
  • 2016/11 Citation: 3 Theory & Machine Learning
  1. Generative adversarial networks for brain lesion detection?[JMI] ( ) - (Search) (Scholar) (PDF)
  • 2017/2 Citation: Medical: Detection
  1. Generative Adversarial Networks for Multimodal Representation Learning in Video Hyperlinking? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/5 Citation: 1 Applied Vision
  1. Generative Adversarial Networks for Noise Reduction in Low-Dose CT?[TMI] ( ) - (Search) (Scholar) (PDF)
  • 2017/5 Citation: Medical: LD-CT
  1. Generative Adversarial Networks with Inverse Transformation Unit? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/9 Citation: 0 Theory & Machine Learning
  1. Generative Adversarial Networks: An Overview? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/10 Citation: Overview
  1. Generative Adversarial Parallelization? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2016/12 Citation: 3 Theory & Machine Learning
  1. Generative Adversarial Residual Pairwise Networks for One Shot Learning? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/3 Citation: 6 Theory & Machine Learning
  1. Generative Adversarial Structured Networks? ( ) - (Search) (Scholar) (PDF)
  • 2017/ Citation: 1 Theory & Machine Learning
  1. Generative Adversarial Text to Image Synthesis? ( GAN-CLS ) - (Search) (Scholar) (PDF) (arXiv) (github)
  • 2016/5 Citation: 225 Generation High-Quality Images
  1. Generative Adversarial Trainer: Defense to Adversarial Perturbations with GAN? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/5 Citation: 0
  1. Generative Cooperative Net for Image Generation and Data Augmentation? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/5 Citation: 0 Theory & Machine Learning
  1. Generative face completion?(CVPR2017) ( ) - (Search) (Scholar) (PDF) (arXiv) (github)
  • 2017/4 Citation: 15 Image Inpainting
  1. Generative Image Modeling using Style and Structure Adversarial Networks (S^2GAN)? ( S^2GAN ) - (Search) (Scholar) (PDF) (arXiv) (github)
  • 2016/3 Citation: 82 Unclassified
  1. Generative Mixture of Networks? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/2 Citation: 0
  1. Generative Moment Matching Networks? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2015/2 Citation: 120 Theory & Machine Learning
  1. Generative Multi-Adversarial Networks? ( GMAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2016/11 Citation: 19
  1. Generative OpenMax for Multi-Class Open Set Classification(BMVC 2017) ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/7 Citation: Improving Classification And Recong
  1. Generative Semantic Manipulation with Contrasting GAN? ( constrast-GAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/8 Citation: 0 Theory & Machine Learning
  1. Generative Steganography with Kerckhoffs' Principle based on Generative Adversarial Networks ( Cover-GAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/11 Citation:
  1. Generative Temporal Models with Memory? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/2 Citation: 7
  1. Generative Visual Manipulation on the Natural Image Manifold (iGAN)? ( iGAN ) - (Search) (Scholar) (PDF) (arXiv) (github)
  • 2016/9 Citation: 102 Applied Vision
  1. Geometric GAN? ( Geometric GAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/5 Citation: 1 Theory & Machine Learning
  1. Geometry Guided Adversarial Facial Expression Synthesis ( G2-GAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/12 Citation:
  1. Global versus Localized Generative Adversarial Nets ( LGAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/11 Citation:
  1. Globally and Locally Consistent Image Completion (SIGGRAPH 2017) ( ) - (Search) (Scholar) (PDF) (arXiv) (github)
  • 2017/7 Citation: Image Inpainting
  1. Good Semi-supervised Learning that Requires a Bad GAN?(NIPS 2017) ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/5 Citation: 7 Semi-supervised learning
  1. GP-GAN: Gender Preserving GAN for Synthesizing Faces from Landmarks? ( GP-GAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/10 Citation: 0 Applied Vision
  1. GP-GAN: Towards Realistic High-Resolution Image Blending? ( GP-GAN ) - (Search) (Scholar) (PDF) (arXiv) (github)
  • 2017/3 Citation: 3 Image blending
  1. Gradient descent GAN optimization is locally stable? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/6 Citation: 1 Theory & Machine Learning
  1. Guiding InfoGAN with Semi-Supervision? ( ss-InfoGAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/7 Citation: 1 Applied Vision
  1. Guiding the search in continuous state-action spaces by learning an action sampling distribution from off-target samples ( GANDI ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/11 Citation:
  1. Hierarchical Detail Enhancing Mesh-Based Shape Generation with 3D Generative Adversarial Network? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/9 Citation: 0 Applied Vision
  1. Hierarchical Video Generation from Orthogonal Information: Optical Flow and Texture ( FTGAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/11 Citation:
  1. High-Quality Face Image SR Using Conditional Generative Adversarial Networks? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/7 Citation: 0 Applied Vision
  1. High-Quality Facial Photo-Sketch Synthesis Using Multi-Adversarial Networks? ( PS��-GAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/10 Citation: 1 Applied Vision
  1. High-Resolution Deep Convolutional Generative Adversarial Networks ( HR-DCGAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/11 Citation:
  1. High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs ( ) - (Search) (Scholar) (PDF) (arXiv) (github)
  • 2017/11 Citation: Image translation
  1. How Generative Adversarial Networks and its variants Work: An Overview of GAN ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/11 Citation:
  1. How to Fool Radiologists with Generative Adversarial Networks? A Visual Turing Test for Lung Cancer Diagnosis? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/10 Citation: 0 Medical: Synthersize
  1. How to train Gans ( ) - (Search) (Scholar) (PDF) (arXiv) (github)
  • 2017/ Citation: GAN Theory
  1. How to Train Your DRAGAN? ( DRAGAN ) - (Search) (Scholar) (PDF) (arXiv) (github)
  • 2017/5 Citation: 9 Theory & Machine Learning
  1. How Well Can Generative Adversarial Networks (GAN) Learn Densities: A Nonparametric View ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/12 Citation:
  1. HP-GAN: Probabilistic 3D human motion prediction via GAN ( HP-GAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/11 Citation:
  1. HyperGAN ( ) - (Search) (Scholar) (PDF) (github)
  • 2017/ Citation:
  1. Image De-raining Using a Conditional Generative Adversarial Network (ID-CGAN) ( ID-CGAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/1 Citation: 11 Applied Vision
  1. Image Generation and Editing with Variational Info Generative Adversarial Networks (ViGAN)? ( ViGAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/1 Citation: 1 Applied Vision
  1. Image Quality Assessment Techniques Show Improved Training and Evaluation of Autoencoder Generative Adversarial Networks? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/8 Citation: 0 Theory & Machine Learning
  1. Image super-resolution through deep learning ( ) - (Search) (Scholar) (PDF) (github)
  • 2016/8 Citation: 553 Super-Resolution
  1. Image-to-Image Translation with Conditional Adversarial Networks (pix2pix)? ( pix2pix ) - (Search) (Scholar) (PDF) (arXiv) (github)
  • 2016/11 Citation: 320 Image translation
  1. Imitating Driver Behavior with Generative Adversarial Networks? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/1 Citation: 11 Applied Vision
  1. Improved Adversarial Systems for 3D Object Generation and Reconstruction? ( 3D-IWGAN ) - (Search) (Scholar) (PDF) (arXiv) (github)
  • 2017/7 Citation: 0 Applied Vision
  1. Improved generator objectives for GANs? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2016/12 Citation: 10
  1. Improved Semi-supervised Learning with GANs using Manifold Invariances? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/5 Citation: 11 Theory & Machine Learning
  1. Improved Techniques for Training GANs (Goodfellow's paper) ( ) - (Search) (Scholar) (PDF) (arXiv) (github)
  • 2016/6 Citation: 442 Generation High-Quality Images
  1. Improved Techniques for Training GANs? ( Improved GAN ) - (Search) (Scholar) (PDF) (arXiv) (github)
  • 2016/6 Citation: 436
  1. Improved Training of Wasserstein GANs (WGAN-GP)? ( WGAN-GP ) - (Search) (Scholar) (PDF) (arXiv) (github)
  • 2017/4 Citation: 134 Generation High-Quality Images
  1. Improving Generative Adversarial Networks with Denoising Feature Matching (Yoshua Bengio , ICLR 2017) ( ) - (Search) (Scholar) (PDF) (arXiv) (github)
  • 2017/3 Citation: GAN Theory
  1. Improving Heterogeneous Face Recognition with Conditional Adversarial Networks ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/9 Citation: 1 Applied Vision
  1. Improving image generative models with human interactions? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/9 Citation: 0 Applied Vision
  1. Improving Neural Machine Translation with Conditional Sequence Generative Adversarial Nets ( CS-GAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/3 Citation:
  1. Improving Variational Inference with Inverse Autoregressive Flow? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2016/6 Citation: 82
  1. In2I : Unsupervised Multi-Image-to-Image Translation Using Generative Adversarial Networks ( In2I ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/11 Citation:
  1. InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets? ( InfoGAN ) - (Search) (Scholar) (PDF) (arXiv) (github)
  • 2016/6 Citation: 227 Conditional adversarial
  1. Interactive 3D Modeling with a Generative Adversarial Network? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/6 Citation: 6 Applied Vision
  1. Intraoperative Organ Motion Models with an Ensemble of Conditional Generative Adversarial Networks? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/9 Citation: 1 Applied Vision
  1. Invertible Conditional GANs for image editing (IcGAN)? ( IcGAN ) - (Search) (Scholar) (PDF) (arXiv) (github)
  • 2016/11 Citation: 25 Conditional adversarial
  1. Inverting The Generator Of A Generative Adversarial Network? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2016/11 Citation: 10 Theory & Machine Learning
  1. IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval models ( IRGAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/5 Citation:
  1. It Takes (Only) Two: Adversarial Generator-Encoder Networks? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/4 Citation: 9 Theory & Machine Learning
  1. IVE-GAN: Invariant Encoding Generative Adversarial Networks ( IVE-GAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/11 Citation:
  1. KBGAN: Adversarial Learning for Knowledge Graph Embeddings ( KBGAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/11 Citation:
  1. KGAN: How to Break The Minimax Game in GAN? ( KGAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/11 Citation: 0 Theory & Machine Learning
  1. Label Denoising Adversarial Network (LDAN) for Inverse Lighting of Face Images? ( LDAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/9 Citation: 1 Applied Vision
  1. Language Generation with Recurrent Generative Adversarial Networks without Pre-training? ( RNN-WGAN ) - (Search) (Scholar) (PDF) (arXiv) (github)
  • 2017/6 Citation: 4 Applied Other
  1. Learning a Driving Simulator? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2016/8 Citation: 25 Applied Vision
  1. Learning a Generative Adversarial Network for High Resolution Artwork Synthesis? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/8 Citation: 0 Applied Vision
  1. Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling (3D-GAN)? ( 3D-GAN ) - (Search) (Scholar) (PDF) (arXiv) (github)
  • 2016/10 Citation: 99 3D
  1. Learning Compositional Visual Concepts with Mutual Consistency ( ConceptGAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/11 Citation:
  1. Learning Deep Energy Models: Contrastive Divergence vs. Amortized MLE ( SteinGAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/7 Citation:
  1. Learning Disentangling and Fusing Networks for Face Completion Under Structured Occlusions ( DF-GAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/12 Citation:
  1. Learning from Simulated and Unsupervised Images through Adversarial Training (SimGAN) by Apple? ( SimGAN ) - (Search) (Scholar) (PDF) (arXiv) (github)
  • 2016/12 Citation: 80 Improving Classification And Recong
  1. Learning Graph Topological Features via GAN ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/9 Citation:
  1. Learning in Implicit Generative Models? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2016/10 Citation: 43 Theory & Machine Learning
  1. Learning Inverse Mapping by Autoencoder based Generative Adversarial Nets ( AEGAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/3 Citation:
  1. Learning Loss for Knowledge Distillation with Conditional Adversarial Networks? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/9 Citation: 0 Theory & Machine Learning
  1. Learning Particle Physics by Example: Location-Aware Generative Adversarial Networks for Physics Synthesis ( LAGAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/1 Citation:
  1. Learning Representations of Emotional Speech with Deep Convolutional Generative Adversarial Networks? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/5 Citation: 6
  1. Learning Residual Images for Face Attribute Manipulation(CVPR 2017) ( ) - (Search) (Scholar) (PDF) (arXiv) (github)
  • 2017/4 Citation: Face Generative and Editing
  1. Learning Temporal Transformations from Time-lapse Videos? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2016/9 Citation:
  1. Learning Texture Manifolds with the Periodic Spatial GAN? ( PSGAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/5 Citation: 2 Theory & Machine Learning
  1. Learning to Avoid Errors in GANs by Manipulating Input Spaces ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/7 Citation:
  1. Learning to Discover Cross-Domain Relations with Generative Adversarial Networks (DiscoGAN)? ( DiscoGAN ) - (Search) (Scholar) (PDF) (arXiv) (github)
  • 2017/3 Citation: 54 Image translation
  1. Learning to Fuse Music Genres with Generative Adversarial Dual Learning ( FusionGAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/12 Citation:
  1. Learning to Generate Chairs with Generative Adversarial Nets? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/5 Citation: 0 Applied Vision
  1. Learning to Generate Images of Outdoor Scenes from Attributes and Semantic Layouts (AL-CGAN)? ( AL-CGAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2016/12 Citation: 7
  1. Learning to Generate Time-Lapse Videos Using Multi-Stage Dynamic Generative Adversarial Networks? ( MD-GAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/9 Citation: 0 Applied Vision
  1. Learning to Protect Communications with Adversarial Neural Cryptography? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2016/10 Citation: 21 Applied Other
  1. Learning What and Where to Draw (GAWWN)? ( GAWWN ) - (Search) (Scholar) (PDF) (arXiv) (github)
  • 2016/10 Citation: 49 Unclassified
  1. Least Squares Generative Adversarial Networks (LSGAN)? ( LSGAN ) - (Search) (Scholar) (PDF) (arXiv) (github)
  • 2016/11 Citation: 58 GAN Theory
  1. Likelihood Estimation for Generative Adversarial Networks ( LeGAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/7 Citation:
  1. Linear Discriminant Generative Adversarial Networks ( LD-GAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/7 Citation:
  1. Linking Generative Adversarial Learning and Binary Classification? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/9 Citation: 0 Theory & Machine Learning
  1. Long Text Generation via Adversarial Training with Leaked Information ( LeakGAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/9 Citation: Applied Other
  1. Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities (LS-GAN) ( LS-GAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/1 Citation: 24 Theory & Machine Learning
  1. Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/8 Citation: 1 Medical: LD-CT
  1. LR-GAN: Layered Recursive Generative Adversarial Networks for Image Generation ( LR-GAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/3 Citation: 13 Theory & Machine Learning
  1. MAGAN: Margin Adaptation for Generative Adversarial Networks? ( MAGAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/4 Citation: 8 Theory & Machine Learning
  1. Manifold-valued Image Generation with Wasserstein Adversarial Networks ( manifold-WGAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/12 Citation:
  1. Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/10 Citation:
  1. MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2016/12 Citation: 1 Applied Vision
  1. Maximum-Likelihood Augmented Discrete Generative Adversarial Networks? ( MaliGAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/2 Citation: 13 For discrete distributions
  1. McGan: Mean and Covariance Feature Matching GAN? ( McGAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/2 Citation: 14 Theory & Machine Learning
  1. Medical Image Synthesis with Context-Aware Generative Adversarial Networks ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2016/12 Citation: Medical: Synthersize
  1. Megapixel Size Image Creation using Generative Adversarial Networks? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/6 Citation: 3 Applied Vision
  1. Message Passing Multi-Agent GANs (MPM-GAN)? ( MPM-GAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2016/12 Citation: 4 Theory & Machine Learning
  1. Metric Learning-based Generative Adversarial Network ( MLGAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/11 Citation:
  1. Microscopy Cell Segmentation via Adversarial Neural Networks? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/9 Citation: 0 Applied Vision
  1. MidiNet: A Convolutional Generative Adversarial Network for Symbolic-domain Music Generation using 1D and 2D Conditions? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/3 Citation: 2 MUSIC
  1. MMD GAN: Towards Deeper Understanding of Moment Matching Network? ( MMD-GAN ) - (Search) (Scholar) (PDF) (arXiv) (github)
  • 2017/5 Citation: 19 Theory & Machine Learning
  1. MMGAN: Manifold Matching Generative Adversarial Network for Generating Images ( MMGAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/7 Citation:
  1. MoCoGAN: Decomposing Motion and Content for Video Generation? ( MoCoGAN ) - (Search) (Scholar) (PDF) (arXiv) (github)
  • 2017/7 Citation: 11 Video Prediction and Generation
  1. Mode Regularized Generative Adversarial Networks? ( MDGAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2016/12 Citation: 50 Theory & Machine Learning
  1. Mode Regularized Generative Adversarial Networks?(Yoshua Bengio , ICLR 2017) ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/3 Citation: GAN Theory
  1. Multi-Agent Diverse Generative Adversarial Networks (MAD-GAN)? ( MAD-GAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/4 Citation: 6 Theory & Machine Learning
  1. Multi-Content GAN for Few-Shot Font Style Transfer ( MC-GAN ) - (Search) (Scholar) (PDF) (arXiv) (github)
  • 2017/12 Citation:
  1. Multi-Content GAN for Few-Shot Font Style Transfer ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/12 Citation:
  1. Multi-Generator Gernerative Adversarial Nets? ( MGGAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/8 Citation: 4 Theory & Machine Learning
  1. Multi-view Generative Adversarial Networks (MV-BiGAN)? ( MV-BiGAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2016/11 Citation: 2 Applied Vision
  1. Multi-View Image Generation from a Single-View? ( VariGAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/4 Citation: 11
  1. Multimodal Storytelling via Generative Adversarial Imitation Learning ( MIL-GAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/12 Citation:
  1. MuseGAN: Symbolic-domain Music Generation and Accompaniment with Multi-track Sequential Generative Adversarial Networks ( MuseGAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/9 Citation: Applied Other
  1. Neural Face Editing with Intrinsic Image Disentangling? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/5 Citation: 11 Face Generative and Editing
  1. Neural Photo Editing with Introspective Adversarial Networks (IAN)? ( IAN ) - (Search) (Scholar) (PDF) (arXiv) (github)
  • 2016/9 Citation: 37 Face Generative and Editing
  1. Neural Stain-Style Transfer Learning using GAN for Histopathological Images? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/10 Citation: 0 Applied Vision
  1. Objective-Reinforced Generative Adversarial Networks (ORGAN) for Sequence Generation Models? ( ORGAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/5 Citation: 3 Theory & Machine Learning
  1. On Convergence and Stability of GANs? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/5 Citation: 9 Theory & Machine Learning
  1. On reproduction of On the regularization of Wasserstein GANs ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/12 Citation:
  1. On the Discrimination-Generalization Tradeoff in GANs ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/11 Citation:
  1. On the effect of Batch Normalization and Weight Normalization in Generative Adversarial Networks? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/4 Citation: 0 Theory & Machine Learning
  1. On the Quantitative Analysis of Decoder-Based Generative Models? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2016/11 Citation: 36 Theory & Machine Learning
  1. On the regularization of Wasserstein GANs ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/9 Citation:
  1. On Unifying Deep Generative Models ( IWGAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/6 Citation:
  1. One-Sided Unsupervised Domain Mapping ( DistanceGAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/6 Citation:
  1. One-to-Many Network for Visually Pleasing Compression Artifacts Reduction? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2016/11 Citation:
  1. Optimizing the Latent Space of Generative Networks? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/7 Citation: 4 Theory & Machine Learning
  1. OptionGAN: Learning Joint Reward-Policy Options using Generative Adversarial Inverse Reinforcement Learning ( OptionGAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/9 Citation:
  1. Outline Colorization through Tandem Adversarial Networks? ( TAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/4 Citation: 2 Applied Vision
  1. PacGAN: The power of two samples in generative adversarial networks ( PacGAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/12 Citation:
  1. Parametrizing filters of a CNN with a GAN? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/10 Citation: 0 Theory & Machine Learning
  1. PassGAN: A Deep Learning Approach for Password Guessing ( PassGAN ) - (Search) (Scholar) (PDF) (arXiv) (github)
  • 2017/9 Citation:
  1. Perceptual Adversarial Networks for Image-to-Image Transformation? ( PAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/6 Citation: 4 Applied Vision
  1. Perceptual Generative Adversarial Networks for Small Object Detection? ( Perceptual GAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/6 Citation: 10 Object Detection
  1. Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network (SRGAN)? ( SRGAN ) - (Search) (Scholar) (PDF) (arXiv) (github)
  • 2016/9 Citation: 281 Applied Vision
  1. Pipeline Generative Adversarial Networks for Facial Images Generation with Multiple Attributes ( Pip-GAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/11 Citation:
  1. Pixel-Level Domain Transfer? ( ) - (Search) (Scholar) (PDF) (arXiv) (github)
  • 2016/3 Citation: 30 Conditional adversarial
  1. PixelGAN Autoencoders? ( PixelGAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/6 Citation: 3 Theory & Machine Learning
  1. PixelSNAIL: An Improved Autoregressive Generative Model ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/12 Citation:
  1. Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space (PPGN)? ( PPGN ) - (Search) (Scholar) (PDF) (arXiv) (github)
  • 2016/12 Citation: 58
  1. Pose Guided Person Image Generation? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/5 Citation: 7 Applied Vision
  1. Pose-Normalized Image Generation for Person Re-identification ( PN-GAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/12 Citation:
  1. Practical Black-Box Attacks against Deep Learning Systems using Adversarial Examples? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2016/2 Citation: 103
  1. Precise Recovery of Latent Vectors from Generative Adversarial Networks? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/2 Citation: 9
  1. Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks (MGAN)? ( MGAN ) - (Search) (Scholar) (PDF) (arXiv) (github)
  • 2016/4 Citation: 74 Texture Synthesis & style transfer
  1. Probabilistic Generative Adversarial Networks ( PGAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/8 Citation:
  1. Progressive Growing of GANs for Improved Quality, Stability, and Variation ( ) - (Search) (Scholar) (PDF) (arXiv) (github)
  • 2017/10 Citation: Generation High-Quality Images
  1. Real-Time Adaptive Image Compression? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/5 Citation:
  1. Real-valued (Medical) Time Series Generation with Recurrent Conditional GANs ( RCGAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/6 Citation: Medical: ICU prediction
  1. Reconstruction of three-dimensional porous media using generative adversarial neural networks? ( ) - (Search) (Scholar) (PDF) (arXiv) (github)
  • 2017/4 Citation: 6 3D
  1. Recurrent Generative Adversarial Networks for Proximal Learning and Automated Compressive Image Recovery ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/11 Citation:
  1. Recurrent Topic-Transition GAN for Visual Paragraph Generation (RTT-GAN)? ( RTT-GAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/3 Citation: 14 Applied Vision
  1. Relaxed Wasserstein with Applications to GANs (RWGAN )? ( RWGAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/5 Citation: 4
  1. RenderGAN: Generating Realistic Labeled Data? ( RenderGAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2016/11 Citation: 7 Applied Vision
  1. Representation Learning and Adversarial Generation of 3D Point Clouds? ( l-GAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/7 Citation: 1 Applied Vision
  1. Representation Learning by Rotating Your Faces ( DR-GAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/5 Citation:
  1. Retinal Vasculature Segmentation Using Local Saliency Maps and Generative Adversarial Networks For Image Super Resolution? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/10 Citation: 0 Applied Vision
  1. Retinal Vessel Segmentation in Fundoscopic Images with Generative Adversarial Networks? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/6 Citation: 2 Medical: Segmentation
  1. Robust LSTM-Autoencoders for Face De-Occlusion in the Wild? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2016/12 Citation: 4 Disocclusion
  1. SAD-GAN: Synthetic Autonomous Driving using Generative Adversarial Networks ( SAD-GAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2016/11 Citation: 1 Applied Vision
  1. SalGAN: Visual Saliency Prediction with Generative Adversarial Networks? ( SalGAN ) - (Search) (Scholar) (PDF) (arXiv) (github)
  • 2017/1 Citation: 11 Applied Vision
  1. Sampling Generative Networks ( ) - (Search) (Scholar) (PDF) (arXiv) (github)
  • 2016/9 Citation: 10 GAN Theory
  1. SCAN: Structure Correcting Adversarial Network for Organ Segmentation in Chest X-rays? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/3 Citation: 6 Medical: Segmentation
  1. SegAN: Adversarial Network with Multi-scale L1 Loss for Medical Image Segmentation? ( SegAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/6 Citation: 4 Medical: Segmentation
  1. SeGAN: Segmenting and Generating the Invisible? ( SeGAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/3 Citation: 2 Applied Vision
  1. SEGAN: Speech Enhancement Generative Adversarial Network? ( SEGAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/3 Citation: 20 Applied Other
  1. Self Adversarial Training for Human Pose Estimation? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/7 Citation:
  1. Semantic Image Inpainting with Deep Generative Models? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2016/7 Citation: 11 Applied Vision
  1. Semantic Image Inpainting with Perceptual and Contextual Losses? ( ) - (Search) (Scholar) (PDF)
  • 2016/ Citation: 48 Image Inpainting
  1. Semantic Image Synthesis via Adversarial Learning? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/7 Citation: 2 Applied Vision
  1. Semantic Segmentation using Adversarial Networks? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2016/11 Citation: 40 Semantic Segmentation
  1. Semantically Decomposing the Latent Spaces of Generative Adversarial Networks (SD-GAN)? ( SD-GAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/5 Citation: 5 Applied Vision
  1. Semi-Latent GAN: Learning to generate and modify facial images from attributes (SL-GAN)? ( SL-GAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/4 Citation: 5 Applied Vision
  1. Semi-supervised Assessment of Incomplete LV Coverage in Cardiac MRI Using Generative Adversarial Nets?[SASHIMI 2017] ( ) - (Search) (Scholar) (PDF)
  • 2017/9 Citation: Medical: Classification
  1. Semi-supervised Conditional GANs ( SS-GAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/8 Citation:
  1. Semi-Supervised Learning with Context-Conditional Generative Adversarial Networks (SSL-GAN)? ( SSL-GAN ) - (Search) (Scholar) (PDF) (arXiv)
  • 2016/11 Citation: 8 Image Inpainting
  1. Semi-Supervised Learning with Deep Generative Models? ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2014/6 Citation: 367
  1. Semi-Supervised Learning with IPM-based GANs: an Empirical Study ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/12 Citation:
  1. Semi-Supervised QA with Generative Domain-Adaptive Nets(ACL 2017) ( ) - (Search) (Scholar) (PDF) (arXiv)
  • 2017/4 Citation: Semi-supervised learning
  1. SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient? ( SeqGA