GAN-Case-Study

A list of papers and other on Generative Adversarial Networks. This site is maintained by Pourya Shamsolmoali.

If you find this work useful for your research, please cite our paper:

@article{shamsolmoali2020image,
  title={Image Synthesis with Adversarial Networks: a Comprehensive Survey and Case Studies},
  author={Shamsolmoali, Pourya and Zareapoor, Masoumeh and Granger, Eric and Zhou, Huiyu and Wang, Ruili and Celebi, M Emre and Yang, Jie},
  journal={Information Fusion},
  year={2020}
}

NOTE: This site will be updated on monthly basis.

Codes
Datasets
Papers

Codes

Cleverhans: A library for benchmarking vulnerability to adversarial examples [Code] [Blog]
CycleGAN [Code] [Blog]
Cartoon Face Generation [Code]
DCGAN [Code]
Generative Adversarial Networks (GANs) in 50 lines of code (PyTorch) [Blog] [Code]
Generative Models: Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow [Code]
Info-GAN [Code]
Keras-GAN [Code]
PyTorch-GAN [Code]
StarGAN [Code]
StarGAN-v2 [Code]
Tensorflow-GAN [Code] [Code]
3D Object Reconstruction [Code] [Code]

Datasets

Animal Faces-HQ dataset (AFHQ) [Dataset]
CartoonSet [Dataset]
Caltech-UCSD Birds-200-2011 [Dataset]
CelebA [Dataset]
CIFAR-10 and CIFAR-100 [Dataset]
Cityscapes [Dataset]
DSLR [Dataset]
FaceScrub [Dataset]
Fashion MNIST [Dataset]
Flickr-Faces-HQ (FFHQ) [Dataset], [Dataset]
Generative Dog Images [Dataset]
ImageNet [Dataset]
MNIST [Datase]
Paris StreetView [Dataset], [Dataset]
SENSIAC [Dataset]
Toronto Faces [Dataset]
UT Zappos50K [Dataset]
Van Gogh [Dataset]
YouTubeFace [Dataset]

Papers

Overview

A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications [arXiv]
A Review: Generative Adversarial Networks [paper]
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications [arXiv]
Generative Adversarial Networks in Computer Vision: A Survey and Taxonomy [arXiv]
Generative Adversarial Network (GAN): a general review on different variants of GAN and applications [paper]
Generative Adversarial Networks: An Overview [arXiv]
Generative Adversarial Network in Medical Imaging: A Review [arXiv]
Stabilizing Generative Adversarial Networks: A Survey [arXiv]

Theory & Machine Learning

Adversarial Feature Learning [arXiv]
A Classification-Based Perspective on GAN Distributions [arXiv]
A Connection between Generative Adversarial Networks, Inverse Reinforcement Learning, and Energy-Based Models [arXiv]
A General Retraining Framework for Scalable Adversarial Classification [Paper]
Activation Maximization Generative Adversarial Nets [arXiv]
AdaGAN: Boosting Generative Models [arXiv]
Adversarial Autoencoders [arXiv]
Adversarial Discriminative Domain Adaptation [arXiv]
Adversarial Distillation of Bayesian Neural Network Posteriors [arXiv]
Adversarial Generator-Encoder Networks [arXiv]
Adversarial Feature Learning [arXiv] [Code]
Adversarially Learned Inference [arXiv] [Code]
AE-GAN: adversarial eliminating with GAN [arXiv]
AmbientGAN: Generative models from lossy measurements [arXiv]
An Adversarial Regularisation for Semi-Supervised Training of Structured Output Neural Networks [arXiv]
Annealed Generative Adversarial Networks [arXiv]
APE-GAN: Adversarial Perturbation Elimination with GAN [arXiv]
Associative Adversarial Networks [arXiv]
Autoencoding beyond pixels using a learned similarity metric [arXiv]
Automatic Steganographic Distortion Learning Using a Generative Adversarial Network [paper]
AVID: Adversarial Visual Irregularity Detection [arXiv]
BAGAN: Data Augmentation with Balancing GAN [arXiv]
BinGAN: Learning Compact Binary Descriptors with a Regularized GAN [arXiv]
BourGAN: Generative Networks with Metric Embeddings [arXiv]
Bayesian Conditional Generative Adverserial Networks [arXiv]
Bayesian GAN [arXiv]
BEGAN: Boundary Equilibrium Generative Adversarial Networks [Paper] [arXiv] [Code]
Binary Generative Adversarial Networks for Image Retrieval [arXiv]
Boundary-Seeking Generative Adversarial Networks [arXiv] [Code]
Calibrating Energy-based Generative Adversarial Networks [arXiv]
CapsGAN: Using Dynamic Routing for Generative Adversarial Networks [arXiv]
CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training [arXiv]
Class-Splitting Generative Adversarial Networks [arXiv]
Comparison of Maximum Likelihood and GAN-based training of Real NVPs [arXiv]
Conditional CycleGAN for Attribute Guided Face Image Generation [arXiv]
Conditional Infilling GANs for Data Augmentation in Mammogram Classification [arXiv]
Conditional Generative Adversarial Nets [arXiv] [Code]
Connecting Generative Adversarial Networks and Actor-Critic Methods [Paper]
Continual Learning in Generative Adversarial Nets [arXiv]
C-RNN-GAN: Continuous recurrent neural networks with adversarial training [arXiv]
CM-GANs: Cross-modal Generative Adversarial Networks for Common Representation Learning [arXiv]
Cooperative Training of Descriptor and Generator Networks [arXiv]
Coupled Generative Adversarial Networks [arXiv] [Code]
DeshuffleGAN: A Self-Supervised GAN to Improve Structure Learning [arXiv]
Differentiable Augmentation for Data-Efficient GAN Training [arXiv]
Diverse Image Generation via Self-Conditioned GANs [arXiv]
Distributional Multivariate Policy Evaluation and Exploration with the Bellman GAN [arXiv]
Dualing GANs [arXiv]
Deep and Hierarchical Implicit Models [arXiv]
Energy-based Generative Adversarial Network [arXiv] [Code]
Enforcing constraints for interpolation and extrapolation in Generative Adversarial Networks [arXiv]
Entropic GANs meet VAEs: A Statistical Approach to Compute Sample Likelihoods in GANs [paper]
Explaining and Harnessing Adversarial Examples [arXiv]
Hierarchical Implicit Models and Likelihood-Free Variational Inference [arXiv]
Flow-GAN: Bridging implicit and prescribed learning in generative models [arXiv]
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization [arXiv] [Code]
GAN Memory with No Forgetting [arXiv]
GAN Dissection: Visualizing and understanding generative adversarial networks [arXiv]
Gang of GANs: Generative Adversarial Networks with Maximum Margin Ranking [arXiv]
Generalization and Equilibrium in Generative Adversarial Nets (GANs) [arXiv]
Generating images with recurrent adversarial networks [arXiv]
Generative Adversarial Networks [arXiv] [Code] [Code]
Imbalanced Data Learning by Minority Class Augmentation using Capsule Adversarial Networks [arXiv]
Improving Conditional Sequence Generative Adversarial Networks by Stepwise Evaluation [arXiv]
Implicit competitive regularization in GANs [paper]
Generalization Properties of Optimal Transport GANs with Latent Distribution Learning [arXiv]
Generating Adversarial Examples with Adversarial Networks [arXiv]
Generative Adversarial Networks as Variational Training of Energy Based Models [arXiv]
Generative Adversarial Networks with Inverse Transformation Unit [arXiv]
Generative Adversarial Parallelization [arXiv] [Code]
Generative Adversarial Residual Pairwise Networks for One Shot Learning [arXiv]
Generative Adversarial Structured Networks [Paper]
Generative Cooperative Net for Image Generation and Data Augmentation [arXiv]
Generating Informative and Diverse Conversational Responses via Adversarial Information Maximization [arXiv]
Generative Moment Matching Networks [arXiv] [Code]
Generative Semantic Manipulation with Contrasting GAN [arXiv]
Geometric GAN [arXiv]
Good Semi-supervised Learning that Requires a Bad GAN [arXiv]
Gradient descent GAN optimization is locally stable [arXiv]
How to Train Your DRAGAN [arXiv]
Image Quality Assessment Techniques Show Improved Training and Evaluation of Autoencoder Generative Adversarial Networks [arXiv]
Improved Semi-supervised Learning with GANs using Manifold Invariances [arXiv]
Improved Techniques for Training GANs [arXiv] [Code]
Improved Training of Wasserstein GANs [arXiv] [Code]
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets [arXiv] [Code]
Inverting The Generator Of A Generative Adversarial Network [Paper]
Instance Selection for GANs [arXiv]
It Takes (Only) Two: Adversarial Generator-Encoder Networks [arXiv]
KGAN: How to Break The Minimax Game in GAN [arXiv]
Learn distributed GAN with Temporary Discriminators [arXiv]
Learning in Implicit Generative Models [Paper]
Learning Loss for Knowledge Distillation with Conditional Adversarial Networks [arXiv]
Learning to Discover Cross-Domain Relations with Generative Adversarial Networks [arXiv] [Code]
Latent Space Optimal Transport for Generative Models [arXiv]
Learning Texture Manifolds with the Periodic Spatial GAN [arXiv]
Least Squares Generative Adversarial Networks [arXiv] [Code]
Linking Generative Adversarial Learning and Binary Classification [arXiv]
Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities [arXiv]
LR-GAN: Layered Recursive Generative Adversarial Networks for Image Generation [arXiv]
MAGAN: Margin Adaptation for Generative Adversarial Networks [arXiv] [Code]
Maximum-Likelihood Augmented Discrete Generative Adversarial Networks [arXiv]
McGan: Mean and Covariance Feature Matching GAN [arXiv]
Message Passing Multi-Agent GANs [arXiv]
MMD GAN: Towards Deeper Understanding of Moment Matching Network [arXiv]
Mode Regularized Generative Adversarial Networks [arXiv] [Code]
Multi-Agent Diverse Generative Adversarial Networks [arXiv]
Multi-Generator Gernerative Adversarial Nets [arXiv]
Objective-Reinforced Generative Adversarial Networks (ORGAN) for Sequence Generation Models [arXiv]
Off-Policy Reinforcement Learning for Efficient and Effective GAN Architecture Search [arXiv]
On Convergence and Stability of GANs [arXiv]
On the Convergence and Robustness of Training GANs with Regularized Optimal Transports [arXiv]
On the effect of Batch Normalization and Weight Normalization in Generative Adversarial Networks [arXiv]
On the Quantitative Analysis of Decoder-Based Generative Models [arXiv]
Optimal Transport using GANs for Lineage Tracing [arXiv]
Optimizing the Latent Space of Generative Networks [arXiv]
Oversampling Adversarial Network for Class-Imbalanced Fault Diagnosis [arXiv]
Parametrizing filters of a CNN with a GAN [arXiv]
Private Post-GAN Boosting [arXiv]
PixelGAN Autoencoders [arXiv]
Progressive Growing of GANs for Improved Quality, Stability, and Variation [arXiv] [Code]
SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient [arXiv]
Sobolev GAN [arXiv]
Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks [arXiv]
SoPhie: An Attentive GAN for Predicting Paths Compliant to Social and Physical Constraints [arXiv]
Simple Black-Box Adversarial Perturbations for Deep Networks [Paper]
Softmax GAN [arXiv]
Stabilizing Training of Generative Adversarial Networks through Regularization [arXiv]
Stacked Generative Adversarial Networks [arXiv]
Statistics of Deep Generated Images [arXiv]
Structured Generative Adversarial Networks [arXiv]
Tangent-Normal Adversarial Regularization for Semi-supervised Learning [pdf] [code]
Tensorizing Generative Adversarial Nets [arXiv]
The Cramer Distance as a Solution to Biased Wasserstein Gradients [arXiv]
Towards Understanding Adversarial Learning for Joint Distribution Matching [arXiv]
Triangle Generative Adversarial Networks [arXiv]
Training generative neural networks via Maximum Mean Discrepancy optimization [arXiv]
Triple Generative Adversarial Nets [arXiv]
Unrolled Generative Adversarial Networks [arXiv]
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks [arXiv] [Code] [Code] [Code] [Code] [Code]
Variational Approaches for Auto-Encoding Generative Adversarial Networks [arXiv]
Variance Regularizing Adversarial Learning [arXiv]
Wasserstein Distance Guided Representation Learning for Domain Adaptation [arXiv]
Wasserstein GAN [arXiv] [Code] [Code]

Applied Vision

3D Object Reconstruction from a Single Depth View with Adversarial Learning [arXiv]
3D-PhysNet: Learning the Intuitive Physics of Non-Rigid Object Deformations [arXiv]
3D Shape Induction from 2D Views of Multiple Objects [arXiv]
ABC-GAN:Adaptive Blur and Control for improved training stability of Generative Adversarial Networks [paper]
Accelerating Science with Generative Adversarial Networks: An Application to 3D Particle Showers in Multi-Layer Calorimeters [arXiv]
AdvEntuRe: Adversarial Training for Textual Entailment with Knowledge-Guided Examples [arXiv]
AF-DCGAN: Amplitude Feature Deep Convolutional GAN for Fingerprint Construction in Indoor Localization Systems [arXiv]
AlphaGAN: Generative adversarial networks for natural image matting [arXiv]
AMIL: Adversarial Multi-instance Learning for Human Pose Estimation [arXiv] [Code]
A step towards procedural terrain generation with GANs [arXiv] [Code]
Abnormal Event Detection in Videos using Generative Adversarial Nets [arXiv]
Adversarial Generation of Training Examples for Vehicle License Plate Recognition [arXiv]
Adversarial Framework for Unsupervised Learning of Motion Dynamics in Videos [arXiv]
Adversarial nets with perceptual losses for text-to-image synthesis [arXiv]
Adversarial Networks for Spatial Context-Aware Spectral Image Reconstruction from RGB [arXiv]
Adversarial Networks for the Detection of Aggressive Prostate Cancer [arXiv]
Adversarial PoseNet: A Structure-aware Convolutional Network for Human Pose Estimation [arXiv]
Adversarial Training For Sketch Retrieval [arXiv]
Aesthetic-Driven Image Enhancement by Adversarial Learning [arXiv]
Age Progression / Regression by Conditional Adversarial Autoencoder [arXiv]
AgingMapGAN (AMGAN): High-ResolutionControllable Face Aging with Spatially-Aware Conditional GANs [arXiv]
Alias-Free Generative Adversarial Networks [arXiv]
AlignGAN: Learning to Align Cross-Domain Images with Conditional Generative Adversarial Networks [arXiv]
Amortised MAP Inference for Image Super-resolution [arXiv]
Analyzing Perception-Distortion Tradeoff using Enhanced Perceptual Super-resolution Network [arXiv] [Code]
A Novel Approach to Artistic Textual Visualization via GAN [arXiv]
Anti-Makeup: Learning A Bi-Level Adversarial Network for Makeup-Invariant Face Verification [arXiv]
A Provably Convergent and Practical Algorithm for Min-max Optimization with Applications to GANs [arXiv]
Arbitrary Facial Attribute Editing: Only Change What You Want [arXiv] [Code]
ARIGAN: Synthetic Arabidopsis Plants using Generative Adversarial Network [arXiv]
ArtGAN: Artwork Synthesis with Conditional Categorial GANs [arXiv]
Artificial Generation of Big Data for Improving Image Classification: A Generative Adversarial Network Approach on SAR Data [arXiv]
A Style-Based Generator Architecture for Generative Adversarial Networks [pdf]
Assessing Generative Models via Precision and Recall [pdf] [code]
Auto-Encoder Guided GAN for Chinese Calligraphy Synthesis [arXiv]
Auto-painter: Cartoon Image Generation from Sketch by Using Conditional Generative Adversarial Networks [arXiv]
Automatic Liver Segmentation Using an Adversarial Image-to-Image Network [arXiv]
Beyond Face Rotation: Global and Local Perception GAN for Photorealistic and Identity Preserving Frontal View Synthesis [arXiv]
Boundary-Seeking Generative Adversarial Networks [arXiv]
CA-GAN: Weakly Supervised Color Aware GAN for Controllable Makeup Transfer [arXiv]
C-RNN-GAN: Continuous recurrent neural networks with adversarial training [arXiv]
CAN: Creative Adversarial Networks Generating “Art” by Learning About Styles and Deviating from Style Norms [arXiv]
CNN Detection of GAN-Generated Face Images based on Cross-Band Co-occurrences Analysis [arXiv]
ClusterGAN : Latent Space Clustering in Generative Adversarial Networks [arXiv]
COCO-GAN: Generation by Parts via Conditional Coordinating [arXiv] [Code]
ComboGAN: Unrestrained Scalability for Image Domain Translation [arXiv]
CompoNet: Learning to Generate the Unseen by Part Synthesis and Composition [arXiv] [Code]
Compressed Sensing MRI Reconstruction with Cyclic Loss in Generative Adversarial Networks [arXiv]
Conditional Adversarial Network for Semantic Segmentation of Brain Tumor [arXiv]
Conditional generative adversarial nets for convolutional face generation [Paper]
Conditional Image Synthesis with Auxiliary Classifier GANs [Paper] [arXiv] [Code]
Contextual RNN-GANs for Abstract Reasoning Diagram Generation [arXiv]
Controllable Generative Adversarial Network [arXiv]
Correlated discrete data generation using adversarial training [arXiv]
Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields [arXiv]
Creatism: A deep-learning photographer capable of creating professional work [arXiv]
CR-GAN: Learning Complete Representations for Multi-view Generation [paper]
Crossing Nets: Combining GANs and VAEs with a Shared Latent Space for Hand Pose Estimation [arXiv]
Cross-Domain Face Synthesis using a Controllable GAN [arXiv]
CVAE-GAN: Fine-Grained Image Generation through Asymmetric Training [arXiv]
Data Augmentation in Classification using GAN [arXiv]
Deep Generative Adversarial Compression Artifact Removal [arXiv]
Deep Generative Adversarial Networks for Compressed Sensing (GANCS) Automates MRI [arXiv]
Deep Generative Adversarial Neural Networks for Realistic Prostate Lesion MRI Synthesis [arXiv]
Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks [arXiv] [Code] [Blog]
Deep multi-scale video prediction beyond mean square error [arXiv] [Code]
Deep Unsupervised Representation Learning for Remote Sensing Images [arXiv]
DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data [arXiv]
Depth Structure Preserving Scene Image Generation [arXiv]
Designing GANs: A Likelihood Ratio Approach [paper]
Detection, Attribution and Localization of GAN Generated Images [arXiv]
DualGAN: Unsupervised Dual Learning for Image-to-Image Translation [arXiv] [Code]
Dual Motion GAN for Future-Flow Embedded Video Prediction [arXiv]
EdgeConnect: Generative Image Inpainting with Adversarial Edge Learning [arXiv] [Code]
Efficient Super Resolution For Large-Scale Images Using Attentional GAN [arXiv] [Thesis] [Thesis]
Empirical Analysis of Overfitting and Mode Drop in GAN Training [arXiv]
ExprGAN: Facial Expression Editing with Controllable Expression Intensity [arXiv]
Face Aging with Contextual Generative Adversarial Nets [arXiv]
Free-Form Image Inpainting with Gated Convolution [arXiv]
Free-Form Image Inpainting with Gated Convolution [arXiv]
Face Aging With Conditional Generative Adversarial Networks [arXiv]
Face Transfer with Generative Adversarial Network [arXiv]
Filmy Cloud Removal on Satellite Imagery with Multispectral Conditional Generative Adversarial Nets [arXiv]
Freehand Ultrasound Image Simulation with Spatially-Conditioned Generative Adversarial Networks [arXiv]
From source to target and back: symmetric bi-directional adaptive GAN [arXiv]
Full Resolution Image Compression with Recurrent Neural Networks [arXiv]
GAN Slimming: All-in-One GAN Compression by A Unified Optimization Framework [arXiv]
G-GANISR: Gradual generative adversarial network for image super resolution [paper]
Generative Adversarial Frontal View to Bird View Synthesis [arXiv]
Generative Modeling by Estimating Gradients of the Data Distribution [pdf]
GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data [arXiv] [Code]
Generate Identity-Preserving Faces by Generative Adversarial Networks [arXiv]
Generate To Adapt: Aligning Domains using Generative Adversarial Networks [arXiv]
Generative Adversarial Models for People Attribute Recognition in Surveillance [arXiv]
Generative Adversarial Network based on Resnet for Conditional Image Restoration [arxiv]
Generative Adversarial Network-based Synthesis of Visible Faces from Polarimetric Thermal Faces [arXiv]
Generative Adversarial Networks for Multimodal Representation Learning in Video Hyperlinking [arXiv]
Generative Adversarial Text to Image Synthesis [arXiv] [Code]
Generative Visual Manipulation on the Natural Image Manifold [Project] [Youtube] [Paper] [Code]
Global-to-Local Generative Model for 3D Shapes [Project][Code]
GEN: Generative Equivariant Networks for diverse image-to-image translation [Paper]
GP-GAN: Gender Preserving GAN for Synthesizing Faces from Landmarks [arXiv]
GP-GAN: Towards Realistic High-Resolution Image Blending [arXiv]
Guiding InfoGAN with Semi-Supervision [arXiv]
How to Fool Radiologists with Generative Adversarial Networks? A Visual Turing Test for Lung Cancer Diagnosis [arXiv]
Hierarchical Detail Enhancing Mesh-Based Shape Generation with 3D Generative Adversarial Network [arXiv]
High-Quality Face Image SR Using Conditional Generative Adversarial Networks [arXiv]
High-Quality Facial Photo-Sketch Synthesis Using Multi-Adversarial Networks [arXiv]
Image De-raining Using a Conditional Generative Adversarial Network [arXiv]
Image Generation and Editing with Variational Info Generative Adversarial Networks [arXiv]
Image-to-Image Translation with Text Guidance [paper]
Image-to-Image Translation with Conditional Adversarial Networks [arXiv] [Code]
Improved Adversarial Systems for 3D Object Generation and Reconstruction [arXiv] [Code]
Improving Heterogeneous Face Recognition with Conditional Adversarial Networks [arXiv]
Improving image generative models with human interactions [arXiv]
Imitating Driver Behavior with Generative Adversarial Networks [arXiv]
Interactive 3D Modeling with a Generative Adversarial Network [arXiv]
Intraoperative Organ Motion Models with an Ensemble of Conditional Generative Adversarial Networks [arXiv]
Invertible Conditional GANs for image editing [arXiv] [Paper]
Joint Discriminative and Generative Learning for Person Re-identification [Project] [Paper] [YouTube] [Bilibili] [Poster] [Code]
Label Denoising Adversarial Network (LDAN) for Inverse Lighting of Face Images [arXiv]
Latent Constraints: Learning to Generate Conditionally from Unconditional Generative Models [arXiv]
Learning a Driving Simulator [arXiv]
Learning a Generative Adversarial Network for High Resolution Artwork Synthesis [arXiv]
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling [arXiv]
Learning Compositional Visual Concepts with Mutual Consistency [arXiv]
Learning from Simulated and Unsupervised Images through Adversarial Training [arXiv]
Learning to Discover Cross-Domain Relations with Generative Adversarial Networks [arXiv]
Learning to Generate Chairs with Generative Adversarial Nets [arXiv]
Learning to Generate Images of Outdoor Scenes from Attributes and Semantic Layouts [arXiv]
Learning to Generate Time-Lapse Videos Using Multi-Stage Dynamic Generative Adversarial Networks [arXiv]
Lessons Learned from the Training of GANs on Artificial Datasets [arXiv]
MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification [arXiv]
Megapixel Size Image Creation using Generative Adversarial Networks [arXiv]
Microscopy Cell Segmentation via Adversarial Neural Networks [arXiv]
MoCoGAN: Decomposing Motion and Content for Video Generation [arXiv]
Multi-view Generative Adversarial Networks [Paper]
Neural Photo Editing with Introspective Adversarial Networks [Paper] [arXiv]
Neural Stain-Style Transfer Learning using GAN for Histopathological Images [arXiv]
Outline Colorization through Tandem Adversarial Networks [arXiv]
Perceptual Adversarial Networks for Image-to-Image Transformation [arXiv]
Perceptual Generative Adversarial Networks for Small Object Detection [arXiv]
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network [arXiv]
Pose Guided Person Image Generation [arXiv]
Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks [arXiv]
Probabilistic Crowd GAN: Multimodal Pedestrian Trajectory Prediction using a Graph Vehicle-Pedestrian Attention Network [arXiv]
Recurrent Topic-Transition GAN for Visual Paragraph Generation [arXiv]
RenderGAN: Generating Realistic Labeled Data [arXiv]
Representation Learning and Adversarial Generation of 3D Point Clouds [arXiv]
Rethinking CNN-Based Pansharpening: Guided Colorization of Panchromatic Images via GANs [arXiv]
Retinal Vasculature Segmentation Using Local Saliency Maps and Generative Adversarial Networks For Image Super Resolution [arXiv]
Retinal Vessel Segmentation in Fundoscopic Images with Generative Adversarial Networks [arXiv]
Road Segmentation for Remote Sensing Images using Adversarial Spatial Pyramid Networks [arXiv]
SAD-GAN: Synthetic Autonomous Driving using Generative Adversarial Networks [arXiv]
SalGAN: Visual Saliency Prediction with Generative Adversarial Networks [arXiv]
SeGAN: Segmenting and Generating the Invisible [arXiv]
Semantic Image Inpainting with Deep Generative Models [arXiv]
StainGAN: Stain Style Transfer for Digital Histological Images [arXiv]
StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation [arXiv]
StarGAN v2: Diverse Image Synthesis for Multiple Domains [arXiv][Code]
Super-FAN: Integrated facial landmark localization and super-resolution of real-world low resolution faces in arbitrary poses with GANs [arXiv]
Semantic Image Synthesis via Adversarial Learning [arXiv]
Semantic Segmentation using Adversarial Networks [arXiv]
Semantically Decomposing the Latent Spaces of Generative Adversarial Networks [arXiv]
Semi-Latent GAN: Learning to generate and modify facial images from attributes [arXiv]
Semi-Supervised Learning with Context-Conditional Generative Adversarial Networks [arXiv]
Shape Inpainting using 3D Generative Adversarial Network and Recurrent Convolutional Networks [arXiv]
Sharpness-aware Low dose CT denoising using conditional generative adversarial network [arXiv]
Simultaneously Color-Depth Super-Resolution with Conditional Generative Adversarial Network [arXiv]
SingleGAN: Image-to-Image Translation by a Single-Generator Network using Multiple Generative Adversarial Learning [arXiv] [Code]
Socially-compliant Navigation through Raw Depth Inputs with Generative Adversarial Imitation Learning [arXiv]
StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks [arXiv]
StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks [arXiv]
Style Transfer for Sketches with Enhanced Residual U-net and Auxiliary Classifier GAN [arXiv]
Supervised Adversarial Networks for Image Saliency Detection [arXiv]
Synthesis of Positron Emission Tomography (PET) Images via Multi-channel Generative Adversarial Networks (GANs) [arXiv]
Synthesizing Filamentary Structured Images with GANs [arXiv]
Synthetic Iris Presentation Attack using iDCGAN [arXiv]
T2Net: Synthetic-to-Realistic Translation for Solving Single-Image Depth Estimation Tasks [arXiv]
TAC-GAN - Text Conditioned Auxiliary Classifier Generative Adversarial Network [arXiv]
Taming GANs with Lookahead [arXiv]
Tangent-Normal Adversarial Regularization for Semi-supervised Learning [arXiv]
Temporal Generative Adversarial Nets with Singular Value Clipping [arXiv]
TextureGAN: Controlling Deep Image Synthesis with Texture Patches [arXiv]
Texture Synthesis with Spatial Generative Adversarial Networks [arXiv] [Code]
Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language [arXiv] [Code]
The Conditional Analogy GAN: Swapping Fashion Articles on People Images [arXiv]
Towards Adversarial Retinal Image Synthesis [arXiv] [Code] [Demo]
Toward Multimodal Image-to-Image Translation [arXiv]
Towards Diverse and Natural Image Descriptions via a Conditional GAN [arXiv]
Towards the Automatic Anime Characters Creation with Generative Adversarial Networks [arXiv]
TreeGAN: Syntax-Aware Sequence Generation with Generative Adversarial Networks [arXiv]
TripletGAN: Training Generative Model with Triplet Loss [arXiv]
TR-GAN: Topology Ranking GAN with Triplet Loss for Retinal Artery/Vein Classification [arXiv]
TrafficGen: Learning to Generate Diverse and Realistic Traffic Scenarios [arXiv]
TV-GAN: Generative Adversarial Network Based Thermal to Visible Face Recognition [arXiv]
Twin-GAN -- Unpaired Cross-Domain Image Translation with Weight-Sharing GANs [arXiv]
UGAN: Enhancing Underwater Imagery using Generative Adversarial Networks [arXiv]
Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro [arXiv][Code]
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks [arXiv]
Unrolled Generative Adversarial Networks [arXiv]
Unsupervised Disentanglement GAN for Domain Adaptive Person Re-Identification [arXiv]
Unsupervised Image Super-Resolution using Cycle-in-Cycle Generative Adversarial Networks [arXiv]
Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks [arXiv]
Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery [arXiv]
Unsupervised Cross-Domain Image Generation [arXiv]
Unsupervised Generative Adversarial Cross-modal Hashing [arXiv]
Unsupervised Diverse Colorization via Generative Adversarial Networks [arXiv]
Unsupervised Pixel–Level Domain Adaptation with Generative Adversarial Networks [arXiv]
Unsupervised Visual Attribute Transfer with Reconfigurable Generative Adversarial Networks [arXiv]
VIGAN: Missing View Imputation with Generative Adversarial Networks [arXiv]
Video Prediction with Appearance and Motion Conditions [arXiv]
WaterGAN: Unsupervised Generative Network to Enable Real-time Color Correction of Monocular Underwater Images [arXiv]
Weakly Supervised Generative Adversarial Networks for 3D Reconstruction [arXiv]
ZSCRGAN: A GAN-based Expectation Maximization Model for Zero-Shot Retrieval of Images from Textual Descriptions [arXiv]

Image Fusion

DF-GAN: Deep Fusion Generative Adversarial Networks for Text-to-Image Synthesis [arXiv]
FD-GAN: Generative Adversarial Networks with Fusion-discriminator for Single Image Dehazing [arXiv]
FFusionCGAN: An end-to-end fusion method for few-focus images using conditional GAN in cytopathological digital slides [arXiv]
FusionGAN: A generative adversarial network for infrared and visible image fusion [paper]
MEF-GAN: Multi-Exposure Image Fusion via Generative Adversarial Networks [paper]
MFIF-GAN: A New Generative Adversarial Network for Multi-Focus Image Fusion [arXiv]
Learning a Generative Model for Fusing Infrared and Visible Images via Conditional Generative Adversarial Network with Dual Discriminators [paper]
Spatial Fusion GAN for Image Synthesis [paper]

Image Completion

Deep Portrait Image Completion and Extrapolation [arXiv]
EdgeConnect: Generative Image Inpainting with Adversarial Edge Learning [arXiv]
Pluralistic Image Completion [paper]
Semantic Image Completion and Enhancement using Deep Learning [arXiv]

Medical Images

Combining Noise-to-Image and Image-to-Image GANs: Brain MR Image Augmentation for Tumor Detection [arXiv]
CT Image Enhancement Using Stacked Generative Adversarial Networks and Transfer Learning for Lesion Segmentation Improvement [arXiv]
Data augmentation using generative adversarial networks (CycleGAN) to improve generalizability in CT segmentation tasks [paper]
DN-GAN: Denoising generative adversarial networks for speckle noise reduction in optical coherence tomography images [paper]
f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networks [paper] [Code]
GAN-based Synthetic Medical Image Augmentation for increased CNN Performance in Liver Lesion Classification [arXiv]
GANs for Biological Image Synthesis [arXiv]
Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss [arXiv]
Learning More with Less: Conditional PGGAN-based Data Augmentation for Brain Metastases Detection Using Highly-Rough Annotation on MR Images [arXiv]
Lesion Mask-based Simultaneous Synthesis of Anatomic and MolecularMR Images using a GAN [arXiv]
MADGAN: unsupervised Medical Anomaly Detection GAN using multiple adjacent brain MRI slice reconstruction [arXiv]
MedGAN: Medical Image Translation using GANs [arXiv]
Melanoma Detection using Adversarial Training and Deep Transfer Learning [arXiv] [Code]
Medical Image Generation using Generative Adversarial Networks [arXiv]
PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network with a Benchmark at Cross-modality Cardiac Segmentation [arXiv] [Code]
Generative Adversarial Networks for Image-To-Image Translation on Multi-Contrast MR Images - A Comparision of CycleGAN and Unit [arXiv] [Code]
Real-valued (Medical) Time Series Generation with Recurrent Conditional GANs [arXiv]
Skin Lesion Synthesis with Generative Adversarial Networks [arXiv] [Code]
SegAN: Adversarial Network with Multi-scale L1 Loss for Medical Image Segmentation [arXiv]
Smile-GANs: Semi-supervised clustering via GANs for dissecting brain disease heterogeneity from medical images [arXiv]
Synthesizing Diverse Lung Nodules Wherever Massively: 3D Multi-Conditional GAN-based CT Image Augmentation for Object Detection [arXiv]
Synthetic Medical Images from Dual Generative Adversarial Networks [arXiv]
TomoGAN: Low-Dose X-Ray Tomography with Generative Adversarial Networks [scholar] [arXiv]
Unpaired image denoising using a generative adversarial network in X-ray CT [arXiv]
XCAT-GAN for Synthesizing 3D Consistent Labeled Cardiac MR Images on Anatomically Variable XCAT Phantoms [arXiv]

Applied Other

Adversarial Generation of Natural Language [arXiv]
Adversarial Ranking for Language Generation [arXiv]
Adversarial Training Methods for Semi-Supervised Text Classification [arXiv] [Paper]
Analysis of Nonautonomous Adversarial Systems [arXiv]
A Generative Model for Volume Rendering [[arXiv]](A Generative Model for Volume Rendering)
ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity? [arXiv]
Coverless Information Hiding Based on Generative adversarial networks [arXiv]
Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models [arXiv]
DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data [arXiv]
Easy High-Dimensional Likelihood-Free Inference [arXiv]
Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN [arXiv]
Generating Multi-label Discrete Electronic Health Records using Generative Adversarial Networks [arXiv]
Interpolating GANs to Scaffold Autotelic Creativity [arXiv]
Language Generation with Recurrent Generative Adversarial Networks without Pre-training [arXiv]
Learning to Protect Communications with Adversarial Neural Cryptography [arXiv] [Blog]
Long Text Generation via Adversarial Training with Leaked Information [arXiv]
MidiNet: A Convolutional Generative Adversarial Network for Symbolic-domain Music Generation using 1D and 2D Conditions [arXiv]
MuseGAN: Symbolic-domain Music Generation and Accompaniment with Multi-track Sequential Generative Adversarial Networks [arXiv]
One-Sided Unsupervised Domain Mapping [arXiv]
On Loss Functions and Recurrency Training for GAN-based Speech Enhancement Systems [arXiv]
Reconstruction of three-dimensional porous media using generative adversarial neural networks [arXiv] [Code]
RGB-IR Cross-modality Person ReID based on Teacher-Student GAN Model [arXiv]
SVSGAN: Singing Voice Separation via Generative Adversarial Network [arXiv]
StarGAN-VC: Non-parallel many-to-many voice conversion with star generative adversarial networks [arXiv]
SEGAN: Speech Enhancement Generative Adversarial Network [arXiv]
Semi-supervised Learning of Compact Document Representations with Deep Networks [Paper]
SSGAN: Secure Steganography Based on Generative Adversarial Networks [arXiv]
Steganographic Generative Adversarial Networks [arXiv]
Tensor-Generative Adversarial Network with Two-dimensional Sparse Coding: Application to Real-time Indoor Localization [arXiv]
To Create What You Tell: Generating Videos from Captions [arXiv]
Towards Grounding Conceptual Spaces in Neural Representations [arXiv]
Unsupervised Cipher Cracking Using Discrete GANs [arXiv]
ZipNet-GAN: Inferring Fine-grained Mobile Traffic Patterns via a Generative Adversarial Neural Network [arXiv]

pshams55/GAN-Case-Study