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This is a resouce list for low light image enhancement
computer-vision deep-learning image-processing retinex contrast-enhancement histogram-equalization image-enhancment image-enhancement low-light 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
Contrast Enhancement Techniques for low-light images
computer-vision image-processing contrast image-manipulation image-restoration contrast-enhancement image-enhancment low-light
[ECCV2022] "Unsupervised Night Image Enhancement: When Layer Decomposition Meets Light-Effects Suppression", https://arxiv.org/abs/2207.10564
night deep-learning flare restoration glow image-enhancement low-light low-level-vision low-light-image glare low-light-enhance nighttime-lights night-images light-effects low-light-image-enhancement nighttime
[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 && [NeurIPS 2025] UltraLED: Learning to See Everything in Ultra-High Dynamic Range Scenes
CVPR 2025 DarkIR: Robust Low-Light Image Restoration - State of the art low light deblurring. NTIRE 2025 Best Method. [Official PyTorch Implementation]
computer-vision deep-learning camera image-processing lol blur computational-photography cvpr restoration deblurring denoising low-light lolblur realblur
Code for “MBLLEN: Low-light Image/Video Enhancement Using CNNs”, BMVC 2018.
[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)
[ACMMM2023] "Enhancing Visibility in Nighttime Haze Images Using Guided APSF and Gradient Adaptive Convolution", https://arxiv.org/abs/2308.01738
night deep-learning fog haze-removal haze restoration glow image-enhancement low-light low-level-vision glare low-light-enhance nighttime-lights night-images fog-removal nighttime-enhancement light-effects low-light-image-enhancement nighttime-images nighttime
[CVPR 2023] Diverse Embedding Expansion Network and Low-Light Cross-Modality Benchmark for Visible-Infrared Person Re-identification
dataset t-sne low-light person-re-identification cross-modality visible-infrared cvpr2023 vireid llcm
Download and convert MIDV-500 annotations to COCO instance segmentation format
computer-vision download card dataset passport coco segmentation instance-segmentation id-card low-light idendity midv-500 midv-2019
[CVPR 2026] Multinex: Lightweight Low-light Image Enhancement via Multi-prior Retinex
computer-vision pytorch machine-vision cvpr retinex low-light low-level-vision low-light-image low-light-enhance low-light-image-enhancement low-light-vision low-light-enhancement retinex-theory multi-priors cvpr2026 multinex multi-prior-retinex
[CVPR2024]Day-Night Cross-domain Vehicle Re-identification
a dehaze / picture enhancement demo using ncnn
LoLI-Street is a low-light image enhancement dataset for training and testing low-light image enhancement models under urban street scenes.
image dataset enhancement image-restoration low-light low-light-enhance low-light-image-enhancement llie loli-street low-exposed trifuse
[Official] FLOL: Fast Baselines for Real-World Low-Light Enhancement
Official code of ICRA 2024 paper: CrackNex: a Few-shot Low-light Crack Segmentation Model Based on Retinex Theory for UAV Inspections
EventEgo3D: 3D Human Motion Capture from Egocentric Event Streams [CVPR'24]
augmented-reality virtual-reality human-pose-estimation high-speed mixed-reality low-light 3d-human-pose event-camera egocentric-vision fast-motion
[2025] ModalFormer: Multimodal Transformer for Low-Light Image Enhancement
computer-vision image-processing transformers transformer multimodality image-to-image image-restoration image-enhancement low-light multimodal multimodal-fusion low-light-enhance low-light-image-enhancement
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