yulunzhang
Associate Professor, Shanghai Jiao Tong University
Shanghai Jiao Tong UniversityShanghai, China
Pinned Repositories
ART
PyTorch code for our ICLR 2023 paper "Accurate Image Restoration with Attention Retractable Transformer".
awesome-diffusion-low-level-vision
Awesome Diffusion Models in Low-Level Vision
CCR-SISR
Matlab code for CCR: Clustering and Collaborative Representation for Fast Single Image Super-Resolution
CRC-SISR
Matlab code for Collaborative Representation Cascade for Single-Image Super-Resolution
MST
TensorFlow code for our ICCV 2019 paper "Multimodal Style Transfer via Graph Cuts"
RCAN
PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"
RDN
Torch code for our CVPR 2018 paper "Residual Dense Network for Image Super-Resolution" (Spotlight)
RNAN
PyTorch code for our ICLR 2019 paper "Residual Non-local Attention Networks for Image Restoration"
video-enhancement
A list of resources for video enhancement, including video super-resolutio, interpolation, denoising, compression artifact removal et al..
CAT
PyTorch code for our NeurIPS 2022 paper "Cross Aggregation Transformer for Image Restoration"
yulunzhang's Repositories
yulunzhang/RCAN
PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"
yulunzhang/video-enhancement
A list of resources for video enhancement, including video super-resolutio, interpolation, denoising, compression artifact removal et al..
yulunzhang/RDN
Torch code for our CVPR 2018 paper "Residual Dense Network for Image Super-Resolution" (Spotlight)
yulunzhang/RNAN
PyTorch code for our ICLR 2019 paper "Residual Non-local Attention Networks for Image Restoration"
yulunzhang/awesome-diffusion-low-level-vision
Awesome Diffusion Models in Low-Level Vision
yulunzhang/MST
TensorFlow code for our ICCV 2019 paper "Multimodal Style Transfer via Graph Cuts"
yulunzhang/CRC-SISR
Matlab code for Collaborative Representation Cascade for Single-Image Super-Resolution
yulunzhang/CCR-SISR
Matlab code for CCR: Clustering and Collaborative Representation for Fast Single Image Super-Resolution
yulunzhang/modelzoo
yulunzhang/awesome-deep-vision
A curated list of deep learning resources for computer vision
yulunzhang/codebase_SR
PyTorch code for our ICCV 2023 paper "Dual Aggregation Transformer for Image Super-Resolution"
yulunzhang/EDSR-PyTorch
PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)
yulunzhang/Single-Image-Super-Resolution
A collection of high-impact and state-of-the-art SR methods
yulunzhang/demo
demo
yulunzhang/NTIRE2017
Torch implementation of "Enhanced Deep Residual Networks for Single Image Super-Resolution"
yulunzhang/torchsummaryX
torchsummaryX: Improved visualization tool of torchsummary
yulunzhang/awesome-computer-vision
A curated list of awesome computer vision resources
yulunzhang/benchmark_results
visual tracker benchmark results
yulunzhang/CSrankings
A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.
yulunzhang/gdown.pl
Google Drive direct download of big files
yulunzhang/pytorch-summary
Model summary in PyTorch similar to `model.summary()` in Keras
yulunzhang/Regularization-Pruning
PyTorch code for our ICLR'21 paper "Neural Pruning via Growing Regularization"
yulunzhang/tf-adain
TensorFlow implementation of the paper "Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization" by Xun Huang and Serge Belongie
yulunzhang/UniversalStyleTransfer
The source code of NIPS17 'Universal Style Transfer via Feature Transforms'.