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paper-implementations

Use PyTorch to implement some classic frameworks

pix2pix-pytorch

PyTorch implementation of "Image-to-Image Translation Using Conditional Adversarial Networks".

pix2pixhd

Synthesizing and manipulating 2048x1024 images with conditional GANs

pointnet2_pytorch

PyTorch implementation of Pointnet2/Pointnet++

pytorch-book

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation

pytorch-cyclegan

A clean and readable Pytorch implementation of CycleGAN

pytorch-cyclegan-and-pix2pix

Image-to-Image Translation in PyTorch

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

pytorch-srgan

A modern PyTorch implementation of SRGAN

pytorch-yolo-v3

A PyTorch implementation of the YOLO v3 object detection algorithm

qt5manager

Making Image Processing Software with qt5

retinex

Python implementation of multi scale retinex with color restoration

retinexnet

A Tensorflow implementation of RetinexNet

retinexnet_pytorch

pytorch version of RetinexNet

retinexnet_pytorch-1

Unofficial PyTorch code for the paper - Deep Retinex Decomposition for Low-Light Enhancement, BMVC'18

retinexnet_pytorch-2

a pytorch reimplement of RetinexNet

ritm_interactive_segmentation

Reviving Iterative Training with Mask Guidance for Interactive Segmentation

seam

Self-supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation, CVPR 2020 (Oral)

siamese-triplet

Siamese and triplet networks with online pair/triplet mining in PyTorch

singan

Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"

srgan

A PyTorch implementation of SRGAN based on CVPR 2017 paper "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"

test

wassersteingan

yolact

A simple, fully convolutional model for real-time instance segmentation.

you-can-see-clearly-now

A collection of awesome low-light image enhancement methods.

zero-dce

Pytorch implementation of paper "Zero Reference low-light image enhancement"

zerodce

PyTorch implementation of Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement Chongyi Li et al.