"Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement" (ICCV 2023) & (NTIRE 2024 Challenge)

LLVIP: A Visible-infrared Paired Dataset for Low-light Vision

Code for “MBLLEN: Low-light Image/Video Enhancement Using CNNs”, BMVC 2018.

🌕 [ICCV 2021] Multitask AET with Orthogonal Tangent Regularity for Dark Object Detection. A self-supervised learning way for low-light image object detection.

Resources Related to Event-based Vision | Event Cameras | DVS

🌕 [AAAI 2024] Aleth-NeRF: Illumination Adaptive NeRF with Concealing Field Assumption (Low-light enhance / Exposure correction + NeRF)

LYT-Net: Lightweight YUV Transformer-based Network for Low-Light Image Enhancement

Attention Guided Low-light Image Enhancement with a Large Scale Low-light Simulation Dataset, IJCV 2021.

📷 [ECCV 2024] RAW-Adapter: Adapting Pre-trained Visual Model to Camera RAW Images

Underwater Dataset for Visual-Inertial Methods and data with transitioning between multiple refractive media.

[ICCV 2023] FeatEnHancer: Enhancing Hierarchical Features for Object Detection and Beyond Under Low-Light Vision

[Access 2020] Low-Light Image Enhancement With Regularized Illumination Optimization and Deep Noise Suppression

GenISP: Neural ISP for Low-Light Machine Cognition

[ECCV'24] Unrolled Decomposed Unpaired Learning for Controllable Low-Light Video Enhancement

Images captured in outdoor scenes can be highly degraded due to poor lighting conditions. These images can have low dynamic ranges with high noise levels that affect the overall performance of computer vision algorithms. To make computer vision algorithms robust in low-light conditions, use low-light image enhancement to improve the visibility o…

[TCSVT'22] Enlightening Low-Light Images With Dynamic Guidance for Context Enrichment