646 Open source projects that are alternatives of or similar to Lr Gan.pytorch

A stable algorithm for GAN training

[IEEE TIP'2021] "EnlightenGAN: Deep Light Enhancement without Paired Supervision" by Yifan Jiang, Xinyu Gong, Ding Liu, Yu Cheng, Chen Fang, Xiaohui Shen, Jianchao Yang, Pan Zhou, Zhangyang Wang

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

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

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

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.

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

PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"

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

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 2016] Unsupervised Feature Learning by Image Inpainting using GANs

Composable GAN framework with api and user interface

GANimation: Anatomically-aware Facial Animation from a Single Image (ECCV'18 Oral) [PyTorch]

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

e3d-lstm; Eidetic 3D LSTM A Model for Video Prediction and Beyond

[CVPR19] DeepCO3: Deep Instance Co-segmentation by Co-peak Search and Co-saliency (Oral paper)

A High-Quality PyTorch Implementation of "Globally and Locally Consistent Image Completion".

A Spark/Scala implementation of the isolation forest unsupervised outlier detection algorithm.

An example of the paper "reconstructing faces from voices"

Gradient Origin Networks - a new type of generative model that is able to quickly learn a latent representation without an encoder

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

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

The standard package for machine learning with noisy labels, finding mislabeled data, and uncertainty quantification. Works with most datasets and models.

Unsupervised Image-to-Image Translation

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

Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction. In CVPR, 2017.

Official PyTorch implementation of GDWCT (CVPR 2019, oral)

中文 预训练 ELECTRA 模型: 基于对抗学习 pretrain Chinese Model

Human Video Generation Paper List

A curated list of community detection research papers with implementations.

StarNet

Awesome GAN for Medical Imaging

Complete-Life-Cycle-of-a-Data-Science-Project

Unofficial PyTorch Implementation of Unsupervised Data Augmentation.

[NeurIPS 2019] Spherical Text Embedding

Training and evaluating a variational autoencoder for pan-cancer gene expression data

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

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

A repository to keep track of all the code that I end up writing for my blog posts.

The authors' implementation of Unsupervised Adversarial Learning of 3D Human Pose from 2D Joint Locations

This project is an unofficial implementation of AlphaGAN: Generative adversarial networks for natural image matting published at the BMVC 2018

Tensorflow implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Adversarial Networks (cDCGAN) for MANIST dataset.

Modified implementation of DCGAN focused on generative art. Includes pre-trained models for landscapes, nude-portraits, and others.

An unsupervised learning framework for depth and ego-motion estimation from monocular videos

Autoregressive Predictive Coding: An unsupervised autoregressive model for speech representation learning

Code for my Master thesis on "Capsule Architecture as a Discriminator in Generative Adversarial Networks".

Implementation of "Generate To Adapt: Aligning Domains using Generative Adversarial Networks"

Focal Frequency Loss for Generative Models

implement infoGAN using pytorch

cGAN-based Multi Organ Nuclei Segmentation

Convolutional Autoencoder for Loop Closure

🔥 PI-REC: Progressive Image Reconstruction Network With Edge and Color Domain. 🔥 图像翻译，条件GAN，AI绘画

O-GAN: Extremely Concise Approach for Auto-Encoding Generative Adversarial Networks

Code for: Transforming and Projecting Images into Class-conditional Generative Networks

Flappy Bird AI using Evolution Strategies

The official PyTorch implementation of the paper "Learning by Analogy: Reliable Supervision from Transformations for Unsupervised Optical Flow Estimation".

A list of all named GANs!

Tensorflow code of "autoencoding beyond pixels using a learned similarity metric"

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