/gans-awesome-applications

Curated list of awesome GAN applications and demo

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gans-awesome-applications

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.

The landmark papers that I respect.

  • 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]

Contents

Use this contents list or simply press command + F to search for a keyword

Applications using GANs

Font generation

  • Learning Chinese Character style with conditional GAN, [blog], [github]

Anime character generation

  • 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]

Interactive Image generation

  • Generative Visual Manipulation on the Natural Image Manifold, [paper], [github]
  • Neural Photo Editing with Introspective Adversarial Networks, [paper], [github]

Text2Image (text to image)

  • 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]

3D Object generation

  • 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]

Image Editing

  • Invertible Conditional GANs for image editing, [paper], [github]
  • Image De-raining Using a Conditional Generative Adversarial Network, [paper], [github]

Face Aging

  • 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]

Human Pose Estimation

  • Pose Guided Person Image Generation, [paper]

Domain-transfer (e.g. style-transfer, pix2pix, sketch2image)

  • 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]

Image Inpainting (hole filling)

  • 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]

Super-resolution

  • 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]

Image Blending

  • GP-GAN: Towards Realistic High-Resolution Image Blending, [paper], [github]

High-resolution image generation (large-scale image)

  • Generating Large Images from Latent Vectors, [blog], [github]
  • PROGRESSIVE GROWING OF GANS FOR IMPROVED QUALITY, STABILITY, AND VARIATION, [paper], [github]

Adversarial Examples (Defense vs Attack)

  • 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]

Visual Saliency Prediction (attention prediction)

  • SalGAN: Visual Saliency Prediction with Generative Adversarial Networks, [paper], [github]

Object Detection/Recognition

  • Perceptual Generative Adversarial Networks for Small Object Detection, [paper]
  • Adversarial Generation of Training Examples for Vehicle License Plate Recognition, [paper]

Robotics

  • Unsupervised Pixel–Level Domain Adaptation with Generative Adversarial Networks, [paper], [github]

Video (generation/prediction)

  • DEEP MULTI-SCALE VIDEO PREDICTION BEYOND MEAN SQUARE ERROR, [paper], [github]

Synthetic Data Generation

  • Learning from Simulated and Unsupervised Images through Adversarial Training, [paper], [github]

Others

  • (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]

Did not use GAN, but still interesting applications.

Real-time face reconstruction

  • Model-based Deep Convolutional Face Autoencoder for Unsupervised Monocular Reconstruction, [paper], [github], [youtube]

Super-resolution

Photorealistic Image generation (e.g. pix2pix, sketch2image)

Human Pose Estimation

  • Knowledge-Guided Deep Fractal Neural Networks for Human Pose Estimation, [paper], [github]

3D Obejct generation

  • 3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction, [paper], [github]

GAN tutorials with easy and simple example code for starters

Implementations of various types of GANs collection

Trendy AI-application Articles

Author

Minchul Shin, @nashory

Any recommendations to add to the list are welcome :)
Feel free to make pull requests!