1023857827's Stars
YaoleiQi/DSCNet
Pytorch Implement of Dynamic Snake Convolution (ICCV2023)
YhuoyuH/RetinexMamba
zhengchen1999/HI-Diff
PyTorch code for our NeurIPS 2023 paper "Hierarchical Integration Diffusion Model for Realistic Image Deblurring"
lingyanruan/LaKDNet
Revisiting Image Deblurring with an Efficient ConvNet - An efficient CNN performs better than Transformer
bnm6900030/swintormer
AmazingAng/WTF-Solidity
WTF Solidity 极简入门教程,供小白们使用。Now supports English! 官网: https://wtf.academy
nasimrahaman/SpectralBias
Code for "On the Spectral Bias of Neural Networks", to appear in ICML 2019 (Long Beach, CA).
cfzd/FcaNet
FcaNet: Frequency Channel Attention Networks
jxgu1016/Gabor_CNN_PyTorch
WACV2018/TIP: Gabor Convolutional Networks
INVOKERer/DeepRFT
The code for 'Intriguing Findings of Frequency Selection for Image Deblurring' and 'Deep Residual Fourier Transformation for Single Image Deblurring'
megvii-research/NAFNet
The state-of-the-art image restoration model without nonlinear activation functions.
hzwer/Awesome-Optical-Flow
This is a list of awesome paper about optical flow and related work.
pp00704831/BANet-TIP-2022
littlespray/SKFlow
This repository is the official implementation of "SKFlow: Learning Optical Flow with Super Kernels" .
ltkong218/FastFlowNet
FastFlowNet: A Lightweight Network for Fast Optical Flow Estimation (ICRA 2021)
GuillermoCarbajal/J-MKPD
Fangzhenxuan/UFPDeblur
sanghviyashiitb/photon-limited-blind
Pytorch Code for "Photon-Limited Blind Deconvolution using Unsupervised Iterative Kernel Estimation" (Transactions on Computational Imaging)
sanghviyashiitb/structured-kernel-cvpr23
Official Code for "Structured Kernel Estimation for Photon-Limited Deconvolution" (CVPR 2023)
likesum/bpn
GuillermoCarbajal/NonUniformBlurKernelEstimation
Code associated with arXiv paper Non-uniform Motion Blur Kernel Estimation via Adaptive Decomposition.
cszn/KAIR
Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR
LeviBorodenko/motionblur
Generate authentic motion blur kernels (point spread functions) and apply them to images. Fast and Simple.
LujiaJin/Basis-Prediction-Networks-PyTorch
Reimplementation of the paper "Basis Prediction Networks for Effective Burst Denoising with Large Kernels" by using PyTorch.
greatlog/DAN
This is an official implementation of Unfolding the Alternating Optimization for Blind Super Resolution
jammer345/SL-CycleGAN-Blind-Motion-Deblurring-in-Cycles-using-Sparse-Learning
SL-CycleGAN: Blind Motion Deblurring in Cycles using Sparse Learning
csdwren/SelfDeblur
Neural Blind Deconvolution Using Deep Priors (CVPR 2020)
Javacr/PyQt5-YOLOv5
PyQt5 implementation of YOLOv5 GUI
XLearning-SCU/2022-CVPR-AirNet
PyTorch implementation for All-In-One Image Restoration for Unknown Corruption (AirNet) (CVPR 2022)
dasongli1/Learning_degradation