北京航空航天大学(北航)课程作业资料共享计划

Study Resources

课件：数字图像处理，计算机视觉，人工智能导论，机器学习，深度学习

DerainZoo for collecting deraining methods, datasets, and codes.

DehazeZoo for collecting dehazing methods, datasets, and codes.

🎓 Update Talking-Face Research Papers Daily

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

Deformable Convolutional Networks v2 with Pytorch

The code for AIM2022 compressed image super-resolution

[official] PCC: TIP 2024-Hierarchical Prior-based Super Resolution for Point Cloud Geometry Compression; VCIP 2022-Near-lossless Point Cloud Geometry Compression Based on Adaptive Residual Compensa…

This repository is an official PyTorch implementation of our paper “CTCNet: A CNN-Transformer Cooperation Network for Face Image Super-Resolution” .(TIP2023)

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

Model Quantization Benchmark

Content adaptive resampler for image downscaling

A list of resources for video enhancement, including video super-resolutio, interpolation, denoising, compression artifact removal et al..

This repository is an official PyTorch implementation of our paper "Cross-receptive Focused Inference Network for Lightweight Image Super-Resolution" .(TMM23)

electron-ssr原作者删除了这个伟大的项目，故备份了下来，不继续开发,且用且珍惜

[ECCV 2022] Self-Supervised Learning for Real-World Super-Resolution from Dual Zoomed Observations

This is an official implementation for "Video Swin Transformers".

Compressed Image Super Resolution

Non-Local ConvLSTM for Video Compression Artifact Reduction(ICCV2019)

A no reference image quality assessment CNN

Extending rllab to event-driven multiagent environments

an implementation of Video Frame Interpolation via Adaptive Separable Convolution using PyTorch

Caffe: a fast open framework for deep learning.

Datasets, Transforms and Models specific to Computer Vision

Implementations of (theoretical) generative adversarial networks and comparison without cherry-picking

Benchmark and resources for single super-resolution algorithms

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising