Awesome-CVPR2026-CVPR2025-CVPR2024-CVPR2021-CVPR2020-Low-Level-Vision

Why we included this project

Researchers and engineers working on image restoration and enhancement will find this a useful starting point, since it collects CVPR papers and their code links across several years into one browsable index. The list covers the classic low-level vision tasks, including super-resolution, denoising, deblurring, dehazing, deraining, demoireing, inpainting, frame interpolation, and image and video compression, so it is easy to move from a paper you saw at a conference to its official implementation. Each year lives in its own markdown file, which helps when you want to see how a subfield changed over time or pull recent baselines for a new project. It is a curated reading list rather than runnable software, which suits anyone who wants a map of methods and reference code before building their own pipeline.