"Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement" (ICCV 2023) & (NTIRE 2024 Runner-Up)
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Updated
Oct 10, 2025 - Python
"Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement" (ICCV 2023) & (NTIRE 2024 Runner-Up)
ProRes: Exploring Degradation-aware Visual Prompt for Universal Image Restoration
[MICCAI 2024 Best Paper Honorable Mention] LighTDiff: Surgical Endoscopic Image Low-Light Enhancement with T-Diffusion
[OCMA] Deep learning-driven surveillance quality enhancement for maritime management promotion under low-visibility weathers
[CVPR 2026] Multinex: Lightweight Low-light Image Enhancement via Multi-prior Retinex
StarIR: Convolutional Image Restoration with Spatial-Frequency Fusion
A comparison of classical image processing vs. the Zero-DCE++ deep learning model for unsupervised low-light image enhancement using PyTorch
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
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.
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