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AGE animation official website URL release page（AGE动漫官网网址发布页）
Pytorch code for "BSRT: Improving Burst Super-Resolution with Swin Transformer and Flow-Guided Deformable Alignment", CVPRW, 1st place in NTIRE 2022 BurstSR Challenge (real-world track).
Meta-SR: A Magnification-Arbitrary Network for Super-Resolution (CVPR2019)
SwinIR: Image Restoration Using Swin Transformer (official repository)
Revisiting Image Deblurring with an Efficient ConvNet - An efficient CNN performs better than Transformer
Reference github repository for the paper "Defocus Deblurring Using Dual-Pixel Data". We introduce a deep neural network (DNN) architecture that uses the dual-pixel (DP) sub-aperture views to reduc…
This project is for DLSN introduced in the following paper "Global Learnable Attention for Single Image Super-Resolution".
PyTorch code for our ICLR 2023 paper "Accurate Image Restoration with Attention Retractable Transformer".
A Collection of Papers and Codes in ECCV2022 about low level vision
A Collection of Papers and Codes in CVPR2023/2022 about low level vision
A curated list of resources for Image and Video Deblurring
MASA-SR: Matching Acceleration and Spatial Adaptation for Reference-Based Image Super-Resolution (CVPR2021)
PyTorch implementation of "Reference-based Image Super-Resolution with Deformable Attention Transformer (ECCV2022)"
Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs (CVPR 2022)
This is an official implementation of Unfolding the Alternating Optimization for Blind Super Resolution
The official code for the NeurIPS 2021 paper "Gaussian Kernel Mixture Network for Single Image Defocus Deblurring".
Collect super-resolution related papers, data, repositories
A latent text-to-image diffusion model
CMake Tools provides a robust, convenient workflow for CMake projects in VS Code. It simplifies configurations with CMake presets, supports IntelliSense and built-in debugging for CMake scripts, an…
Official pytorch repository for "Diffusion Posterior Sampling for General Noisy Inverse Problems"
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
中文的C++ Template的教学指南。与知名书籍C++ Templates不同，该系列教程将C++ Templates作为一门图灵完备的语言来讲授，以求帮助读者对Meta-Programming融会贯通。(正在施工中)
📚 Modern C++ Tutorial: C++11/14/17/20 On the Fly | https://changkun.de/modern-cpp/
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values.
Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution
A Flexible and Unified Image Restoration Framework (PyTorch), including state-of-the-art image restoration model. Such as NAFNet, Restormer, MPRNet, MIMO-UNet, SCUNet, SwinIR, HINet, etc. ⭐⭐⭐⭐⭐⭐