Implementation for paper "STAR: A Structure-aware Lightweight Transformer for Real-time Image Enhancement"

unofficial inplementation of paper Underexposed Photo Enhancement using Deep Illumination Estimation(2019 CVPR)

Dark Region-Aware Low-light Image Enhancement (BMVC 2020)

ReLLIE (ACMMM2021), Pytorch implementation

A Tensorflow implementation of RetinexNet

EfficientFormerV2 [ICCV 2023] & EfficientFormer [NeurIPs 2022]

[CVPR2021, PAMI2023] End-to-End Object Detection with Learnable Proposal

This is the official Pytorch implementation for our paper "Semantic-Guided Zero-Shot Learning for Low-Light Image/Video Enhancement."

Rethinking Performance Gains in Image Dehazing Networks

The source code of CVPR 2020 paper "Multi-Scale Boosted Dehazing Network with Dense Feature Fusion"

This repo contains the official training and testing codes for our paper: GridDehazeNet: Attention-Based Multi-Scale Network for Image Dehazing.

FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising (TIP, 2018)

official Pytorch implementation of ICCV 2021 paper FuseFormer: Fusing Fine-Grained Information in Transformers for Video Inpainting.

Code for the Shortformer model, from the ACL 2021 paper by Ofir Press, Noah A. Smith and Mike Lewis.

[CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.

PoolFormer: MetaFormer Is Actually What You Need for Vision (CVPR 2022 Oral)