602 Open source projects that are alternatives of or similar to Exprgan

Image-to-image translation with conditional adversarial nets

Image-to-Image Translation in PyTorch

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

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

Focal Frequency Loss for Generative Models

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

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

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

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

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

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

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

Code for "Semantic Object Accuracy for Generative Text-to-Image Synthesis" (TPAMI 2020)

StarNet

Official Implementation of the paper "A U-Net Based Discriminator for Generative Adversarial Networks" (CVPR 2020)

Image Deblurring using Generative Adversarial Networks

StoryGAN: A Sequential Conditional GAN for Story Visualization

CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation

🤖🖌️ Generate photo-realistic textures based on source images. Remix, remake, mashup! Useful if you want to create variations on a theme or elaborate on an existing texture.

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

Generative Adversarial Network for single image super-resolution in high content screening microscopy images

A collection of arbitrary text to image papers with code (constantly updating)

PyTorch reimplementation of the paper: "Semantic Pyramid for Image Generation" [CVPR 2020].

The source code of CVPR 2019 paper "Deep Exemplar-based Video Colorization".

Discovering Interpretable GAN Controls [NeurIPS 2020]

[ACCV 2018 Oral] Dual Generator Generative Adversarial Networks for Multi-Domain Image-to-Image Translation

Machine Learning and having it Deep and Structured (MLDS) in 2018 spring

A Tensorflow implementation of Deep Convolutional Generative Adversarial Networks trained on Fashion-MNIST, CIFAR-10, etc.

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

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

PyTorch implementation of "Improved Techniques for Training Single-Image GANs" (WACV-21)

Image Inpainting via Generative Multi-column Convolutional Neural Networks, NeurIPS2018

Code for deep generative prior (ECCV2020 oral)

The official implementation of our SIGGRAPH 2020 paper Interactive Video Stylization Using Few-Shot Patch-Based Training

Open source 2D node-based raster/vector graphics editor (Photoshop + Illustrator + Houdini = Graphite)

PaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, wav2lip, picture repair, image editing, photo2cartoon, image style transfer, and so on.

PyTorch implementation for SDEdit: Image Synthesis and Editing with Stochastic Differential Equations

Virtual Clothing Try-on with Deep Learning. PyTorch reproduction of SwapNet by Raj et al. 2018. Now with Docker support!

Pytorch implementation of Image Manipulation with Perceptual Discriminators paper

Interactive Image Generation via Generative Adversarial Networks

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

Regularizing Generative Adversarial Networks under Limited Data (CVPR 2021)

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

VapourSynth Single Image Super-Resolution Generative Adversarial Network (GAN)

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

Pytorch implementation of MixNMatch

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

🖼 A collection of high-quality anime faces.

Invert the color of MNIST images with PyTorch

SEAN: Image Synthesis with Semantic Region-Adaptive Normalization (CVPR 2020, Oral)

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

Official repository for the paper "High-Resolution Daytime Translation Without Domain Labels" (CVPR2020, Oral)

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

Turn your two-bit doodles into fine artworks with deep neural networks, generate seamless textures from photos, transfer style from one image to another, perform example-based upscaling, but wait... there's more! (An implementation of Semantic Style Transfer.)

Applied Deep Learning (2019 Spring) @ NTU

🤖🖌️ Generate photo-realistic textures based on source images. Remix, remake, mashup! Useful if you want to create variations on a theme or elaborate on an existing texture.

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

Continious Generative Adversarial Network

Adversarial Generation of Continuous Images [CVPR 2021]