mv-lab/AISP
Deep learning library for RAW image restoration, super-resolution, learned ISP, and computational photography tasks in computer vision.

This repository provides implementations of deep learning models for low-level computer vision tasks, specifically focused on image signal processing and computational photography. It includes code for RAW image restoration and super-resolution, learned ISP pipelines, image denoising and deblurring, and bokeh rendering. The library serves as the official resource for NTIRE and AIM challenge participants, offering training base code and evaluation pipelines for researchers.