There are 1 repository under low-light topic.
This is a resouce list for low light image enhancement
[IEEE TIP] "EnlightenGAN: Deep Light Enhancement without Paired Supervision" by Yifan Jiang, Xinyu Gong, Ding Liu, Yu Cheng, Chen Fang, Xiaohui Shen, Jianchao Yang, Pan Zhou, Zhangyang Wang
[ECCV2022] "Unsupervised Night Image Enhancement: When Layer Decomposition Meets Light-Effects Suppression", https://arxiv.org/abs/2207.10564
[ICCV 2023] Lighting Every Darkness in Two Pairs: A Calibration-Free Pipeline for RAW Denoising && [Arxiv 2023] Make Explicit Calibration Implicit: Calibrate Denoiser Instead of the Noise Model
[ACMMM2023] "Enhancing Visibility in Nighttime Haze Images Using Guided APSF and Gradient Adaptive Convolution", https://arxiv.org/abs/2308.01738
[TPAMI 2023 / ACMMM 2022 Best Paper Runner-Up Award] Learnability Enhancement for Low-light Raw Denoising: Where Paired Real Data Meets Noise Modeling (a Data Perspective)
The project is the official implementation of our CVPR 2021 paper, "Restoring Extremely Dark Images in Real Time"
Rethinking Noise Synthesis and Modeling in Raw Denoising (ICCV2021)
[CVPR 2023] Diverse Embedding Expansion Network and Low-Light Cross-Modality Benchmark for Visible-Infrared Person Re-identification
a dehaze / picture enhancement demo using ncnn
CVPR 2025 DarkIR: Robust Low-Light Image Restoration - State of the art low light deblurring [Official PyTorch Implementation]
[CVPR2024]Day-Night Cross-domain Vehicle Re-identification
Low Light Image Enhancement
EventEgo3D: 3D Human Motion Capture from Egocentric Event Streams [CVPR'24]
LoLI-Street is a low-light image enhancement dataset for training and testing low-light image enhancement models under urban street scenes.
IJCV2023 paper: Deblurring Low-Light Images with Events
The Official Implementation for paper "Chain-of-Restoration: Multi-Task Image Restoration Models are Zero-Shot Step-by-Step Universal Image Restorers".
[IJCV'24] Temporally Consistent Enhancement of Low-light Videos via Spatial-Temporal Compatible Learning
Dataset for: Deep Learning Based Exposure Correction for Image Exposure Correction with Application in Computer Vision for Robotics Authors Cristiano Steffens, Paulo Lilles Jorge Drews, Silvia Silva Botelho Publication date 2018/11/6 Conference 2018 Latin American Robotic Symposium, 2018 Brazilian Symposium on Robotics (SBR) and 2018 Workshop on Robotics in Education (WRE)
Implementation of the sped-up solver of LIME image enhancement algorithm from the paper "LIME: Low-Light Image Enhancement via Illumination Map Estimation"
Saturation/underexposure/declipping CNN
Software and electronics for the portable SiPM luminometer.
Low light multi-focus image fusion dataset
Adapted type-II fuzzy algorithm for non-uniform illumination images
latent light manifestation algorithm for low-light image enhancement