Gans Open Source Projects

Image-to-Image Translation in PyTorch

Bringing Old Photo Back to Life (CVPR 2020 oral)

A list of all named GANs!

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

starter from "How to Train a GAN?" at NIPS2016

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Synthesizing and manipulating 2048x1024 images with conditional GANs

Awesome paper list with code about generative adversarial nets

Progressive Growing of GANs for Improved Quality, Stability, and Variation

Curated list of awesome GAN applications and demo

🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

A list of papers on Generative Adversarial (Neural) Networks

🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.

Synthetic data generation for tabular data

StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.

AI Roadmap:机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN），图神经网络（GNN），NLP，大数据相关的发展路书(roadmap), 并附海量源码（python，pytorch）带大家消化基本知识点，突破面试，完成从新手到合格工程师的跨越，其中深度学习相关论文附有tensorflow caffe官方源码，应用部分含推荐算法和知识图谱

The author's officially unofficial PyTorch BigGAN implementation.

Implementation of papers in 100 lines of code.

EdgeConnect: Structure Guided Image Inpainting using Edge Prediction, ICCV 2019 https://arxiv.org/abs/1901.00212

Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)

Code for reproducing experiments in "Improved Training of Wasserstein GANs"

A sketch extractor for anime/illustration.

A simple interface for editing natural photos with generative neural networks.

State-of-the-art audio codec with 90x compression factor. Supports 44.1kHz, 24kHz, and 16kHz mono/stereo audio.

Converted CoreML Model Zoo.

Synthetic data generators for tabular and time-series data

[CVPR 2020] Interpreting the Latent Space of GANs for Semantic Face Editing

A pytorch implementation of Paper "Improved Training of Wasserstein GANs"

A very simple generative adversarial network (GAN) in PyTorch

Toward Multimodal Image-to-Image Translation

Official PyTorch repo for JoJoGAN: One Shot Face Stylization

Research Framework for easy and efficient training of GANs based on Pytorch

Generative Adversarial Transformers

[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training

A simple PyTorch Implementation of Generative Adversarial Networks, focusing on anime face drawing.

Papers, repository and other data about anime or manga research. Please let me know if you have information that the list does not include.

🏖 Keras Implementation of Painting outside the box

[CVPR 2020] GAN Compression: Efficient Architectures for Interactive Conditional GANs

GANs with spectral normalization and projection discriminator

Implementations of CNNs, RNNs, GANs, etc

GAN-based Mel-Spectrogram Inversion Network for Text-to-Speech Synthesis

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

Tooling for GANs in TensorFlow

Pytorch implementation of MixNMatch

[CVPR 2021] Closed-Form Factorization of Latent Semantics in GANs

A scalable template for PyTorch projects, with examples in Image Segmentation, Object classification, GANs and Reinforcement Learning.

Code for paper "Which Training Methods for GANs do actually Converge? (ICML 2018)"

Two time-scale update rule for training GANs

Generative Adversarial Networks (GANs) resources sorted by citations

Generative Adversarial Networks implemented in PyTorch and Tensorflow

:fire::fire: PyTorch implementation of "Progressive growing of GANs (PGGAN)" :fire::fire:

Code for APDrawingGAN: Generating Artistic Portrait Drawings from Face Photos with Hierarchical GANs (CVPR 2019 Oral)

TensorFlow implementation of the CVPR 2018 spotlight paper, Deep Photo Enhancer: Unpaired Learning for Image Enhancement from Photographs with GANs

[CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing

Awesome Generative Adversarial Networks with tensorflow

[TPAMI 2023] Multimodal Image Synthesis and Editing: The Generative AI Era

Some work of Andrew Ng's course on Coursera

Twin-GAN -- Unpaired Cross-Domain Image Translation with Weight-Sharing GANs

Sketch Your Own GAN: Customizing a GAN model with hand-drawn sketches.