A curated list of GAN & Deepfake papers and repositories.
A curated list of GAN & Deepfake papers and repositories. 
means implementation is available.
Tl;dr GANs containg two competing neural networks which iteratively generate new data with the same statistics as the training set.
Vanilla GAN: Generative Adversarial Networks, [paper], [github] DCGAN: Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks, [paper], [github] WGAN: Wasserstein GAN, [paper], [github] WGAN-GP: Improved Training of Wasserstein GANs, [paper], [github] RGAN: The relativistic discriminator: a key element missing from standard GAN, [paper], [github] BGAN: Boundary-Seeking Generative Adversarial Networks, [paper], [github] ClusterGAN: Latent Space Clustering in Generative Adversarial Networks, [paper], [github] CGAN: Conditional Generative Adversarial Nets, [paper], [github] ACGAN: Conditional Image Synthesis With Auxiliary Classifier GANs, [paper], [github] CCGAN: Semi-Supervised Learning with Context-Conditional Generative Adversarial Networks, [paper], [github] CycleGAN: Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks, [paper], [github] StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation, [paper], [github] Pix2Pix: Image-to-Image Translation with Conditional Adversarial Nets, [paper], [github] DualGAN: Unsupervised Dual Learning for Image-to-Image Translation, [paper], [github] BicycleGAN: Toward Multimodal Image-to-Image Translation, [paper], [github] 3DGAN: Learning a Probabilistic Latent Space of Object Shapes Inverse Graphics GAN: Inverse Graphics GAN - Learning to Generate 3D Shapes from Unstructured 2D Data, [paper], [github] [Project] Keras-GAN-Animeface-Character, [github] Generative Visual Manipulation on the Natural Image Manifold, [paper], [github] Neural Photo Editing with Introspective Adversarial Networks, [paper], [github] Parametric 3D Exploration with Stacked Adversarial Networks, [github], [youtube] Fully Convolutional Refined Auto-Encoding Generative Adversarial Networks for 3D Multi Object Scenes, [github], [blog] Image super-resolution through deep learning, [github] Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network, [paper], [github] Analyzing Perception-Distortion Tradeoff using Enhanced Perceptual Super-resolution Network, [paper], [github] ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks, [paper], [github] MUNIT: Multimodal Unsupervised Image-to-Image Translation, [paper], [github] SRGAN: Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network, [paper], [github] Context Encoders: Feature Learning by Inpainting, [paper], [github] Semantic Image Inpainting with Perceptual and Contextual Losses, [paper], [github] Generative Face Completion, [paper], [github] Vox2Vox: 3D-GAN for Brain Tumor Segmentation, [paper], [github]Tl;dr Deepfakes are fake videos or audio recordings that look and sound just like the real thing. Watch this video of Obama speaking… or was that really him?
Fast Face-swap Using Convolutional Neural Networks, [paper], [github] DeepFaceLab: A simple, flexible and extensible face Fewshot Face Translation GAN, [github] AttGAN: Facial Attribute Editing by Only MaskGAN: Towards Diverse and Interactive Facial Image Manipulation, [paper], [github] StarGAN v2: Diverse Image Synthesis for Multiple Domains, [paper], [github] FSGAN: Subject Agnostic Face Swapping and Reenactment, [paper], [github] MesoNet [paper], [github]SVM: Exposing Deep Fakes Using Inconsistent Head Poses, [paper]