The state-of-the-art image restoration model without nonlinear activation functions.

Differentiable fast wavelet transforms in PyTorch with GPU support.

Tools to Design or Visualize Architecture of Neural Network

A Collection of Papers and Codes for CVPR2025/CVPR2024/CVPR2021/CVPR2020 Low Level Vision

Pytorch Implementations of large number classical backbone CNNs, data enhancement, torch loss, attention, visualization and some common algorithms.

DeepVis Toolbox

VisualTorch aims to help visualize Torch-based neural network architectures.

Pytorch implementation of convolutional neural network visualization techniques

Demos for deep learning

[CVPR 2020--Oral] CycleISP: Real Image Restoration via Improved Data Synthesis

PyTorch implementation of saliency map-aided GAN for Auto-demosaic+denosing

Collect super-resolution related papers, data, repositories

An official implementation of "Learning with Privileged Information for Efficient Image Super-Resolution" (ECCV2020) in PyTorch.

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

This repository contains integer operators on GPUs for PyTorch.

RepViT: Revisiting Mobile CNN From ViT Perspective [CVPR 2024] and RepViT-SAM: Towards Real-Time Segmenting Anything

Make RepVGG Greater Again: A Quantization-aware Approach

cvpr2024/cvpr2023/cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

CVPR 2025 论文和开源项目合集

This is a resouce list for low light image enhancement

该仓库主要记录 NLP 算法工程师相关的顶会论文研读笔记

🚀 Efficient implementations of state-of-the-art linear attention models in Torch and Triton

[CVPR 2022] Official implementation of the paper "Uformer: A General U-Shaped Transformer for Image Restoration".

Transformer Explained Visually: Learn How LLM Transformer Models Work with Interactive Visualization

[CVPR'24] UniRepLKNet: A Universal Perception Large-Kernel ConvNet for Audio, Video, Point Cloud, Time-Series and Image Recognition

An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites