city292

awesome-semantic-segmentation-pytorch

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

BasicSR

Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.

BDL

BIPNet

[CVPR 2022--Oral, Best paper Finalist] Burst Image Restoration and Enhancement. SOTA for Burst Super-resolution, Low-light Burst Image Enhancement, Burst Image De-noising

camodocal

CCT

[CVPR 2020] Semi-Supervised Semantic Segmentation with Cross-Consistency Training.

cycleGAN-PyTorch

A clean and lucid implementation of cycleGAN using PyTorch

DAGAN

[ACM MM 2020] Dual Attention GANs for Semantic Image Synthesis

DeepLabV3Plus-Pytorch

DeepLabv3, DeepLabv3+ and pretrained weights on VOC & Cityscapes

DeepRFT

The code for 'Intriguing Findings of Frequency Selection for Image Deblurring' and 'Deep Residual Fourier Transformation for Single Image Deblurring'

IGEV

[CVPR 2023] Iterative Geometry Encoding Volume for Stereo Matching and Multi-View Stereo

Image-Super-Resolution-via-Iterative-Refinement

Unofficial implementation of Image Super-Resolution via Iterative Refinement by Pytorch

mean-teacher

A state-of-the-art semi-supervised method for image recognition

NeuralSBS

Official implementation of the NeuralSBS paper

notes

my notes

PVT

pytorch-CycleGAN-and-pix2pix

Image-to-Image Translation in PyTorch

Real-ESRGAN

Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.

Restormer

[CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.

seg_net

SETR

[CVPR 2021] Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers

spinningup

An educational resource to help anyone learn deep reinforcement learning.

StableSR

Exploiting Diffusion Prior for Real-World Image Super-Resolution

stereo_rectify

Swin-Transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

T2T-ViT

tc_2021

2021全国数字生态创新大赛

TENet

[ICCP'22] Rethinking Learning-based Demosaicing, Denoising, and Super-Resolution Pipeline

USSS_ICCV19

Code for Universal Semi-Supervised Semantic Segmentation models paper accepted in ICCV 2019

ViT-pytorch

Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)