1022 Open source projects that are alternatives of or similar to catgan_pytorch

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

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

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

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

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.

Semantic Image Inpainting

Awesome Generative Adversarial Networks with tensorflow

A stable algorithm for GAN training

Interactive Image Generation via Generative Adversarial Networks

Unofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)

Pytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets

A Tensorflow implementation of Semi-supervised Learning Generative Adversarial Networks (NIPS 2016: Improved Techniques for Training GANs).

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

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

Pytorch implementation of Conditional Image Synthesis with Auxiliary Classifier GANs

DCGAN image generator 🖼️.

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

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

Image-to-image translation with conditional adversarial nets

GAN in Tensorflow to be run via Linux command line

Composable GAN framework with api and user interface

The Simplest DCGAN Implementation

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

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

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

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

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

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

Focal Frequency Loss for Generative Models

SPEAR: Programmatically label and build training data quickly.

Page to PAGE Layout Analysis Tool

🎎 InfoGAN: Interpretable Representation Learning

Unsupervised anomaly detection with generative model, keras implementation

Generative Adversarial Networks and Autoencoders for 3D Shapes

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

Official PyTorch implementation of NICE-GAN: Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation

A PyTorch implementation for StyleGAN with full features.

Pytorch deep learning face frontalization model

A DCGAN to generate anime faces using custom mined dataset

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

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

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

Code for GAN2Shape (ICLR2021 oral)

Collection of generative models in Pytorch version.

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

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

Implementation of some different variants of GANs by tensorflow, Train the GAN in Google Cloud Colab, DCGAN, WGAN, WGAN-GP, LSGAN, SNGAN, RSGAN, RaSGAN, BEGAN, ACGAN, PGGAN, pix2pix, BigGAN

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

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

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

Enhancing the BERT training with Semi-supervised Generative Adversarial Networks in Pytorch/HuggingFace

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

Semi-supervised GAN in "Improved Techniques for Training GANs"

Image-to-Image Translation in PyTorch

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

Stochastic Adversarial Video Prediction

Everything about Generative Adversarial Networks

Deep Metric Transfer for Label Propagation with Limited Annotated Data

Applied several Generative Adversarial Networks (GAN) techniques such as: DCGAN, WGAN and StyleGAN to generate Anime Faces and Handwritten Digits.