1041 Open source projects that are alternatives of or similar to UEGAN

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

Interactive Image Generation via Generative Adversarial Networks

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

Composable GAN framework with api and user interface

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

Image-to-image translation with conditional adversarial nets

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

All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

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

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

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

Code for deep generative prior (ECCV2020 oral)

Focal Frequency Loss for Generative Models

[CVPR 2016] Unsupervised Feature Learning by Image Inpainting using GANs

A stable algorithm for GAN training

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

Vanilla GAN implemented on top of keras/tensorflow enabling rapid experimentation & research. Branches correspond to implementations of stable GAN variations (i.e. ACGan, InfoGAN) and other promising variations of GANs like conditional and Wasserstein.

Image-to-Image Translation in PyTorch

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

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

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

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

Pytorch deep learning face frontalization model

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

Keras implementation of 3D Generative Adversarial Network.

Unsupervised anomaly detection with generative model, keras implementation

Generative Adversarial Networks and Autoencoders for 3D Shapes

An extremely simple generative adversarial network, built with TensorFlow

A PyTorch implementation for StyleGAN with full features.

GANnotation (PyTorch): Landmark-guided face to face synthesis using GANs (And a triple consistency loss!)

Tensorflow implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Netwokrs for MNIST dataset.

🎎 InfoGAN: Interpretable Representation Learning

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

A DCGAN to generate anime faces using custom mined dataset

DCGAN image generator 🖼️.

Generate text boxes from input words with a GAN.

Invert the color of MNIST images with PyTorch

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

(WIP) Implementation of Creative Adversarial Networks https://arxiv.org/pdf/1706.07068.pdf

Code for GAN2Shape (ICLR2021 oral)

Collection of generative models in Pytorch version.

Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs (CVPRW 2020)

See Triple-GAN-V2 in PyTorch: https://github.com/taufikxu/Triple-GAN

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

Page to PAGE Layout Analysis Tool

TF implementation of our ECCV 2018 paper: Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model

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

ArtGAN: This work presents a series of new approaches to improve Generative Adversarial Network (GAN) for conditional image synthesis and we name the proposed model as “ArtGAN”. Implementations are in Caffe/Tensorflow.

Applied Deep Learning (2019 Spring) @ NTU

This is the official PyTorch implementation of the CVPR 2020 paper "TransMoMo: Invariance-Driven Unsupervised Video Motion Retargeting".

On the "steerability" of generative adversarial networks

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

Unofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)

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

The Implementation of paper "Controllable Person Image Synthesis with Attribute-Decomposed GAN"

Improved Wasserstein GAN (WGAN-GP) application on medical (MRI) images

Stochastic Adversarial Video Prediction

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

ICCV 2019 (oral) RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution. PyTorch implementation