“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-enhancement 开源项目推荐(21 个)
low-light-enhancement 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 21 个仓库ProRes:探索用于通用图像恢复的退化感知视觉提示
[CVPR 2026] Multinex: Lightweight Low-light Image Enhancement via Multi-prior Retinex
[MICCAI 2024 Best Paper Honorable Mention] LighTDiff: Surgical Endoscopic Image Low-Light Enhancement with T-Diffusion
该项目在 GitHub 上没有填写描述
[OCMA] Deep learning-driven surveillance quality enhancement for maritime management promotion under low-visibility weathers
PixelSpark is a professional AI photo editor for Android that enhances low-light images using MIRNet TFLite 100% offline, no cloud required. Built with Flutter and a high-performance C++ core via dart:ffi, it delivers 21+ pro editing tools, non-destructive workflow, and a smooth white/sky-blue UI. Features: AI Enhancement
Low-light image and video enhancement model for Jetson-class edge deployment.
Shadow/Highlight recovery for low-quality, compressed video. Local browser editor with before/after preview and histogram.
CSE468 Computer Vision Project | Low-light CCTV surveillance system using YOLOv8, MTCNN & OpenCV for human, face, and vehicle detection in nighttime conditions. Supervised by Dr. Mohammad Shifat-E-Rabbi, North South University.
A comparison of classical image processing vs. the Zero-DCE++ deep learning model for unsupervised low-light image enhancement using PyTorch
EAIM-Net: Unified image enhancement for scene text — low-light, haze, rain, glare, illumination
Adaptive Low-Light Image Enhancement Using Bipolar Fuzzy Set
DhakaNight (ICCA 2026): benchmarking low-light enhancement (CLAHE, Gamma, Zero-DCE, RetinexFormer) with YOLOv8 for night-traffic detection in Dhaka.
Unofficial PyTorch reproduction for URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration.
Research-based implementation and enhancement of the AGCC framework for low-light image enhancement. Includes reproduction of a 2024 research paper, evaluation using PSNR, SSIM, NIQE, and BRISQUE, and an improved hybrid model using CLAHE, Bilateral Filtering, Wavelet Denoising, Canny Edge Detection, and Morphological Operations.
Parametrized interval-valued intuitionistic fuzzy set for low-light image enhancement
Night-time campus security robot: YOLOv8 trained on an auto-generated, auto-labelled dataset (night [email protected] 0.46 → 0.91), low-light enhancement study, map-based multi-object tracking and loitering detection. Webots + OpenCV.
Self-trained PyTorch models for single-image super-resolution and low-light enhancement - a full pipeline from data to training, evaluation, TorchScript export, FastAPI backend and an interactive web demo.
On generalized Sugeno's class generator and parametrized intuitionistic fuzzy approach for enhancing low-light images
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-enhancement。
- 该话题在 GitHub 上共有 21 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 1851 Star,覆盖 3 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。