CycleGAN - Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more

•    Lua

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This package includes CycleGAN, pix2pix, as well as other methods like BiGAN/ALI and Apple's paper S+U learning. The code was written by Jun-Yan Zhu and Taesung Park. Note: Please check out PyTorch implementation for CycleGAN and pix2pix. The PyTorch version is under active development and can produce results comparable or better than this Torch version.

gan generative-adversarial-network deep-learning image-generation image-manipulation cyclegan pix2pix gans computer-vision computer-graphics torch

pytorch-CycleGAN-and-pix2pix - Image-to-image translation in PyTorch (e

•    Python

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This is our PyTorch implementation for both unpaired and paired image-to-image translation. It is still under active development. The code was written by Jun-Yan Zhu and Taesung Park, and supported by Tongzhou Wang.

pytorch gan cyclegan pix2pix deep-learning computer-vision computer-graphics image-manipulation image-generation generative-adversarial-network gans

faceswap-GAN - A denoising autoencoder + adversarial losses and attention mechanisms for face swapping

•    Jupyter

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Adding Adversarial loss and perceptual loss (VGGface) to deepfakes'(reddit user) auto-encoder architecture. Here is a playground notebook for faceswap-GAN v2.2 on Google Colab. Users can train their own model in the browser without GPU required.

face-swap generative-adversarial-network gan gans image-manipulation

BicycleGAN - [NIPS 2017] Toward Multimodal Image-to-Image Translation

•    Python

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Pytorch implementation for multimodal image-to-image translation. For example, given the same night image, our model is able to synthesize possible day images with different types of lighting, sky and clouds. The training requires paired data. Note: The current software works well with PyTorch 0.4. Check out the older branch that supports PyTorch 0.1-0.3.

pytorch pix2pix gans generative-adversarial-network deep-learning

asrgen - Attacking Speaker Recognition with Deep Generative Models

•    Jupyter

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PyTorch implementation of Attacking Speaker Recognition Systems with Deep Generative Models. This implementation uses code from the following repos: [NVIDIA's Tacotron 2] (https://github.com/nvidia/tacotron2), Martin Arjovsky and Prem Seetharaman.

gans text-to-speech asr adversarial-attacks

FaceData - A macOS app to parse face landmarks from a video for GANs training

•    Swift

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A macOS application used to auto-annotate landmarks from a video. Those landmarks can further be used as training data for Generative Adversarial Networks (GANs). You can either download the binary file from Rease or build the source code using Xcode.

gans annotator vision