NavyZeng's Stars
cmhungsteve/Awesome-Transformer-Attention
An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
manman1995/Awaresome-pansharpening
chaofengc/Awesome-Image-Quality-Assessment
A comprehensive collection of IQA papers
xyrui/PLRDiff
Unsupervised Hyperspectral Pansharpening via Low-rank Diffusion Model (Information Fusion 2024)
IDEA-Research/Grounded-Segment-Anything
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
google-research/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
Vandermode/TFPnP
Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems (ICML 2020 Award Paper & JMLR 2022)
lronkitty/NSSNN
Nonlocal Spatial-Spectral Neural Network for Hyperspectral Image Denoising (NSSNN)
adler-j/learned_gradient_tomography
Solving ill-posed inverse problems using iterative deep neural networks
microsoft/ai-edu
AI education materials for Chinese students, teachers and IT professionals.
ShuhangGu/SGN_ICCV2019
The code for my ICCV paper: Self-Guided Network for Fast Image Denoising.
tony0914/Medical-Image-Analysis-MIPAV
医学图像处理的相关学习资料及论文的整理分享
fengdu78/Data-Science-Notes
数据科学的笔记以及资料搜集
Sophia-11/Machine-Learning-Notes
周志华《机器学习》手推笔记
shleecs/Copy-and-Paste-Networks-for-Deep-Video-Inpainting
Official Pytorch implementation of Copy-and-Paste Networks for Deep Video Inpainting (ICCV 2019)
diegovalsesia/gcdn
Deep Graph-Convolutional Image Denoising
hongwang01/RCDNet
【CVPR2020, Interpretable Network】A Model-driven Deep Neural Network for Single Image Rain Removal
uestctensorgroup/code_WSTNN
matlab code
zhaoxile/reproducible-tensor-completion-state-of-the-art
Deep-Imaging-Group/PWLS-CSCGR
Convolutional Sparse Coding for Compressed Sensing CT Reconstruction
Deep-Imaging-Group/RED-WGAN
ShusenTang/Dive-into-DL-PyTorch
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
rakhuba/tucker3d
junjun-jiang/Hyperspectral-Image-Denoising-Benchmark
A list of hyperspectral image denoising resources collected by Yongsen Zhao and Junjun Jiang.