Curated list of awesome GAN applications and demonstrations.
Note: General GAN papers targeting simple image generation such as DCGAN, BEGAN etc. are not included in the list. I mainly care about applications.
- Generative Adversarial Networks, [paper], [github]
- Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks, [paper], [github]
- Improved Techniques for Training GANs, [paper], [github]
- BEGAN: Boundary Equilibrium Generative Adversarial Networks, [paper], [github]
Use this contents list or simply press command + F to search for a keyword
- Applications using GANs
- Font generation
- Anime character generation
- Interactive Image generation
- Text2Image (text to image)
- 3D Object generation
- Image Editing
- Face Aging
- Human Pose Estimation
- Domain-transfer (e.g. style-transfer, pix2pix, sketch2image)
- Image Inpainting (hole filling)
- Super-resolution
- High-resolution image generation (large-scale image)
- Adversarial Examples (Defense vs Attack)
- Visual Saliency Prediction (attention prediction)
- Object Detection/Recognition
- Robotics
- Video (generation/prediction)
- Synthetic Data Generation
- Others
- Did not use GAN, but still interesting applications
- GAN tutorials with easy and simple example code for starters
- Implementations of various types of GANs collection
- Trendy AI-application Articles
- Learning Chinese Character style with conditional GAN, [blog], [github]
- Artistic Glyph Image Synthesis via One-Stage Few-Shot Learning, [paper], [github]
- Attribute2Font: Creating Fonts You Want From Attributes, [paper], [github]
- Towards the Automatic Anime Characters Creation with Generative Adversarial Networks, [paper]
- [Project] A simple PyTorch Implementation of Generative Adversarial Networks, focusing on anime face drawing, [github]
- [Project] A simple, clean TensorFlow implementation of Generative Adversarial Networks with a focus on modeling illustrations, [github]
- [Project] Keras-GAN-Animeface-Character, [github]
- [Project] A DCGAN to generate anime faces using custom mined dataset, [github]
- Generative Visual Manipulation on the Natural Image Manifold, [paper], [github]
- Neural Photo Editing with Introspective Adversarial Networks, [paper], [github]
- TAC-GAN – Text Conditioned Auxiliary Classifier Generative Adversarial Network, [paper], [github]
- StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks, [paper], [github]
- Generative Adversarial Text to Image Synthesis, [paper], [github], [github]
- Learning What and Where to Draw, [paper], [github]
- Parametric 3D Exploration with Stacked Adversarial Networks, [github], [youtube]
- Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling, [paper], [github], [youtube]
- 3D Shape Induction from 2D Views of Multiple Objects, [paper]
- Fully Convolutional Refined Auto-Encoding Generative Adversarial Networks for 3D Multi Object Scenes, [github], [blog]
- Invertible Conditional GANs for image editing, [paper], [github]
- Image De-raining Using a Conditional Generative Adversarial Network, [paper], [github]
- Age Progression/Regression by Conditional Adversarial Autoencoder, [paper], [github]
- CAN: Creative Adversarial Networks Generating “Art” by Learning About Styles and Deviating from Style Norms, [paper]
- FACE AGING WITH CONDITIONAL GENERATIVE ADVERSARIAL NETWORKS, [paper]
- Joint Discriminative and Generative Learning for Person Re-identification, [paper], [github], [video]
- Pose Guided Person Image Generation, [paper]
- Image-to-Image Translation with Conditional Adversarial Networks, [paper], [github], [youtube]
- Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks, [paper], [github], [youtube]
- Learning to Discover Cross-Domain Relations with Generative Adversarial Networks, [paper], [github]
- Unsupervised Creation of Parameterized Avatars, [paper]
- UNSUPERVISED CROSS-DOMAIN IMAGE GENERATION, [paper]
- Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks, [paper], [github]
- Pixel-Level Domain Transfer [paper], [github]
- TextureGAN: Controlling Deep Image Synthesis with Texture Patches, [paper], [demo]
- Vincent AI Sketch Demo Draws In Throngs at GTC Europe, [blog], [youtube]
- Deep Photo Style Transfer, [paper], [github]
- Context Encoders: Feature Learning by Inpainting, [paper], [github]
- Semantic Image Inpainting with Perceptual and Contextual Losses, [paper], [github]
- SEMI-SUPERVISED LEARNING WITH CONTEXT-CONDITIONAL GENERATIVE ADVERSARIAL NETWORKS, [paper]
- Generative Face Completion, [paper], [github]
- Image super-resolution through deep learning, [github]
- Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network, [paper], [github]
- High-Quality Face Image Super-Resolution Using Conditional Generative Adversarial Networks, [paper]
- Analyzing Perception-Distortion Tradeoff using Enhanced Perceptual Super-resolution Network, [paper], [github]
- Generating Large Images from Latent Vectors, [blog], [github]
- PROGRESSIVE GROWING OF GANS FOR IMPROVED QUALITY, STABILITY, AND VARIATION, [paper], [github]
- SafetyNet: Detecting and Rejecting Adversarial Examples Robustly, [paper]
- ADVERSARIAL EXAMPLES FOR GENERATIVE MODELS, [paper]
- Adversarial Examples Generation and Defense Based on Generative Adversarial Network, [paper]
- Perceptual Generative Adversarial Networks for Small Object Detection, [paper]
- Adversarial Generation of Training Examples for Vehicle License Plate Recognition, [paper]
- (Physics) Learning Particle Physics by Example: Location-Aware Generative Adversarial Networks for Physics Synthesis, [paper], [github]
- (Games) STYLE TRANSFER GENERATIVE ADVERSARIAL NETWORKS: LEARNING TO PLAY CHESS DIFFERENTLY, [paper], [github]
- (General) Spectral Normalization for Generative Adversarial Networks, [paper], [github]
- Model-based Deep Convolutional Face Autoencoder for Unsupervised Monocular Reconstruction, [paper], [github], [youtube]
- Learning to Simplify: Fully Convolutional Networks for Rough Sketch Cleanup, [paper], [site link], [youtube]
- The Sketchy Database: Learning to Retrieve Badly Drawn Bunnies, [paper], [youtube]
- PatchMatch: A Randomized Correspondence Algorithm for Structural Image Editing, [paper], [github], [youtube]
- 1D Generative Adversarial Network Demo
- starter from "How to Train a GAN?" at NIPS2016
- NIPS 2016 Tutorial: Generative Adversarial Networks
- OpenAI - Generative Models
- [paper], [github], [youtube]
- nashory/gans-collections.torch, torch7
- hwalsuklee/tensorflow-generative-model-collections, pytorch
- wiseodd/generative-models, both pytorch and tensorflow
- aboev/arae-tf, tensorflow
Minchul Shin, @nashory
Any recommendations to add to the list are welcome :)
Feel free to make pull requests!
