Awesome-GANS-and-Deepfakes

A curated list of GAN & Deepfake papers and repositories.

GANs

• Vanilla GAN (paper)
  • Implementations
    • PyTorch
      • [https://github.com/eriklindernoren/PyTorch-GAN/tree/master/implementations/gan]
      • [https://github.com/devnag/pytorch-generative-adversarial-networks]
      • [https://github.com/shivakanthsujit/GAN-PyTorch]
    • Keras
      • [https://github.com/eriklindernoren/Keras-GAN/tree/master/gan]
      • [https://github.com/osh/KerasGAN]
      • [https://github.com/jason71995/Keras-GAN-Library]
      • [https://github.com/Zackory/Keras-MNIST-GAN]
• DCGAN (paper)
  • Implementations
    • PyTorch
      • [https://github.com/znxlwm/pytorch-MNIST-CelebA-GAN-DCGAN]
      • [https://github.com/eriklindernoren/PyTorch-GAN/tree/master/implementations/dcgan]
    • Keras
      • [https://github.com/jacobgil/keras-dcgan]
      • [https://github.com/eriklindernoren/Keras-GAN/blob/master/dcgan/dcgan.py]
      • [https://github.com/mitchelljy/DCGAN-Keras]

Applications using GANs

Anime generator

• Towards the Automatic Anime Characters Creation with Generative Adversarial Networks, [paper]
• [Project] Keras-GAN-Animeface-Character, [github]

Interactive Image generation

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

3D Object generation

• 3D Shape Induction from 2D Views of Multiple Objects, [paper]
• Parametric 3D Exploration with Stacked Adversarial Networks, [github], [youtube]
• Fully Convolutional Refined Auto-Encoding Generative Adversarial Networks for 3D Multi Object Scenes, [github], [blog]

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]
• Analyzing Perception-Distortion Tradeoff using Enhanced Perceptual Super-resolution Network, [paper], [github]

Image Inpainting (hole filling)

• Context Encoders: Feature Learning by Inpainting, [paper], [github]
• Semantic Image Inpainting with Perceptual and Contextual Losses, [paper], [github]
• Generative Face Completion, [paper], [github]

Deepfakes

• Faceswap (paper)
  • Implementations
    • Original
      • [https://github.com/deepfakes/faceswap#overview]
    • Other versions/ wrappers
      • [https://github.com/iperov/DeepFaceLab]
      • [https://github.com/wuhuikai/FaceSwap]
      • [https://github.com/shaoanlu/faceswap-GAN]
      • [https://github.com/MarekKowalski/FaceSwap]
      • [https://github.com/joshua-wu/deepfakes_faceswap]

Deepfake Detection

• MesoNet (paper)
  • Implementations
    • PyTorch
      • [https://github.com/HongguLiu/MesoNet-Pytorch]
    • Keras
      • [https://github.com/DariusAf/MesoNet]
• FaceForensics++ (paper)
  • Implementations
    • PyTorch
      • [https://github.com/ondyari/FaceForensics]
      • [https://github.com/HongguLiu/Deepfake-Detection]

Datasets

• Google Deepfake Detection Dataset
• FaceForensics++ Dataset
• Facebook Deepfake Detection Challenge (DFDC) Dataset
• "SwapMe and Faceswap" dataset
• "Fake Faces in the Wild (FFW) dataset
• Tampered Face (TAMFA) Dataset
• Celeb-DF(v2) Celebrity Deepfake Dataset