“Retinexformer:基于Retinex的单级Transformer,用于低光图像增强”(ICCV 2023年十大被引用收件箱)'(NTIRE 2025年获奖收件箱)'🏆
low-light-vision 开源项目推荐(26 个)
low-light-vision 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 26 个仓库LLVIP: A Visible-infrared Paired Dataset for Low-light Vision
Resources Related to Event-based Vision | Event Cameras | DVS
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.
[SPL 2025] LYT-Net: Lightweight YUV Transformer-based Network for Low-Light Image Enhancement
🌕 [AAAI 2024] Aleth-NeRF: Illumination Adaptive NeRF with Concealing Field Assumption (Low-light enhance / Exposure correction + NeRF)
📷 [ECCV 2024] RAW-Adapter: Adapting Pre-trained Visual Model to Camera RAW Images
[CVPR 2026] Multinex: Lightweight Low-light Image Enhancement via Multi-prior Retinex
Attention Guided Low-light Image Enhancement with a Large Scale Low-light Simulation Dataset, IJCV 2021.
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
GenISP: Neural ISP for Low-Light Machine Cognition
EgoNight is the first comprehensive benchmark designed to evaluate egocentric vision understanding in low-light and nighttime conditions—a critical gap in current research.
[ECCV'24] Unrolled Decomposed Unpaired Learning for Controllable Low-Light Video Enhancement
[Access 2020] Low-Light Image Enhancement With Regularized Illumination Optimization and Deep Noise Suppression
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…
This repository contains a Python-based program that detects and tracks people in a video, counting the number of individuals entering and exiting a defined area. It uses the YOLOv8 model for object detection and the SORT (Simple Online and Realtime Tracking) algorithm for tracking.
[TCSVT'22] Enlightening Low-Light Images With Dynamic Guidance for Context Enrichment
该项目在 GitHub 上没有填写描述
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/low-light-vision。
- 该话题在 GitHub 上共有 26 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 3915 Star,覆盖 4 种主要语言,数据更新于 2026-11-07。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。