700 Open source projects that are alternatives of or similar to VSGAN

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

Reference code for the paper HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms (CVPR 2021).

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

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

Image-to-Image Translation in PyTorch

Setup scripts for ESRGAN/MXNet image/video upscaling in VapourSynth

StarNet

Bringing Old Photo Back to Life (CVPR 2020 oral)

A Collection of Papers and Codes for ICCV2021 Low Level Vision and Image Generation

[TIP2020] Pytorch implementation of "Towards Unsupervised Deep Image Enhancement with Generative Adversarial Network"

Implementations of (theoretical) generative adversarial networks and comparison without cherry-picking

[CVPR 2019 Oral] Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation

Pytorch implementation of MixNMatch

EigenGAN: Layer-Wise Eigen-Learning for GANs (ICCV 2021)

[ACM MM 2018 Oral] GestureGAN for Hand Gesture-to-Gesture Translation in the Wild

Use keras.js and cyclegan-keras to colorize manga automatically. All computation in browser. Demo is online:

Interactive Image Generation via Generative Adversarial Networks

A very simple generative adversarial network (GAN) in PyTorch

[NeurIPS 2018] [JSAIT] PacGAN: The power of two samples in generative adversarial networks

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

[IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

Official PyTorch implementation of GDWCT (CVPR 2019, oral)

Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/

Pytorch implementation of "One-Shot Unsupervised Cross Domain Translation" NIPS 2018

[ECCV 2020 Spotlight] A Simple and Versatile Framework for Image-to-Image Translation

Video, Image and GIF upscale/enlarge(Super-Resolution) and Video frame interpolation. Achieved with Waifu2x, Real-ESRGAN, SRMD, RealSR, Anime4K, RIFE, CAIN, DAIN, and ACNet.

Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.

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

Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution

Pytorch implementation of "One-Sided Unsupervised Domain Mapping" NIPS 2017

FineGAN: Unsupervised Hierarchical Disentanglement for Fine-grained Object Generation and Discovery

Cross-domain Correspondence Learning for Exemplar-based Image Translation. (CVPR 2020 Oral)

Official implementation of "Adversarial Open Domain Adaptation for Sketch-to-Photo Synthesis"(WACV 2022/CVPRW 2021)

Synthetic Data Generation for tabular, relational and time series data.

[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.

Code for deep generative prior (ECCV2020 oral)

Image-to-image translation with conditional adversarial nets

🦓<->🦒 🌃<->🌆 A collection of image to image papers with code (constantly updating)

GIF is a photorealistic generative face model with explicit 3D geometric and photometric control.

CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation

Semantic Image Manipulation using Scene Graphs (CVPR 2020)

CoMoGAN: continuous model-guided image-to-image translation. CVPR 2021 oral.

Facial Expression Editing with Controllable Expression Intensity

Focal Frequency Loss for Generative Models

Pytorch official implementation of Anime to Real Clothing: Cosplay Costume Generation via Image-to-Image Translation.

Image Deblurring using Generative Adversarial Networks

[CVPR 2020] Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation

Code for training and evaluation of the model from "Language Generation with Recurrent Generative Adversarial Networks without Pre-training"

An official PyTorch implementation of the paper "Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language", NeurIPS 2018

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

Pytorch implementation of Image Manipulation with Perceptual Discriminators paper

Generate Cartoon Images using Generative Adversarial Network

A simple library that implements CLIP guided loss in PyTorch.

Minimalist node.js command-line & programmatic API client for imaginary

ECE 535 - Course Project, Deep Learning Framework

Quote text with a semi-box.

Pytorch implementation of "DeepFlow: History Matching in the Space of Deep Generative Models"