A curated list of resources for low-level vision tasks.

Reading & Technical writing

• 如何读论文-李沐
  • Paper reading by 李沐
• 如何用LaTeX写论文？
• Common mistakes in technical writing
• Writing (CS paper) & research resources
• Paper Writing Tips by MLNLP-World
• Tips for Writing a Research Paper using LaTeX by Guanying Chen
• Academic posters byBolei Zhou
• PyTorch_IQA by Chaofeng Chen
• 科研经验 by pengsida

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Image/Video Processing Lectures

This collection contains resources related to video/image processing, such as optimization, deep learning, Python, C++, Opencv, FFmpeg, etc.

• Lectures
• Deep Learning System & AI System

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Top-Ranked Conferences

• NeurIPS 2020
• CVPR 2021
• ICCV 2021

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Image & Video Comparison Metrics/Tools

• Tools
  • MegSpot by MegEngine
  • HandyView by Xinntao
• Metrics
  • PyTorch Image Quality by photosynthesis-team
  • Params, FLOPs by fvcore

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Super-Resolution

• Toolbox
  • ResizeRight (fully differentiable) by Assaf Shocher
  • BasicSR by Xintao
  • EDSR by Sanghyun Son
  • Simple-SR by Jia Research Lab
  • KAIR by Kai Zhang
    • The model summary (FLOPs, Params, Runtime, Activations, Conv2d, and Max Memory Allocated) script can be found in KAIR/main_challenge_sr.py
  • MM Editing by open-mmlab
• Paper
  • Awesome Super-Resolution by ptkin
• Notes on Image/Video Restoration

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Denoising

• Paper
  • Awesome Image or Video Denoising Algorithms by Bin Zhang

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Debluring

• Toolbox
  • SimDeblur Framework by ljzycmd
• Paper
  • Awesome-Deblurring by Subeesh Vasu

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Deraining

• Paper
  • DerainZoo by Youzhao Yang

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Dehazing

• Paper
  • Awesome Dehazing by ygcho

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• Awesome Computer Vision by Jia-Bin Huang