A fork of Learning to See Moving Objects in the Dark

The project is the official implementation of our CVPR 2021 paper, "Restoring Extremely Dark Images in Real Time"

Detect and classify the vehicles in the low light using YOLO v3 pretrained model and low light image enhancement

Low light enhance for driving scene

[JON 2022] Lightweight Deep Network-Enabled Real-Time Low-Visibility Enhancement for Promoting Vessel Detection in Maritime Video Surveillance

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

Project of 'TBEFN: A Two-branch Exposure-fusion Network for Low-light Image Enhancement '

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

Official PyTorch code and dataset of the paper "Local Color Distributions Prior for Image Enhancement" [ECCV2022]

[ACMMM2023] "Enhancing Visibility in Nighttime Haze Images Using Guided APSF and Gradient Adaptive Convolution", https://arxiv.org/abs/2308.01738

Image-enhancement algorithms: low-light enhancement, image restoration, super-resolution reconstruction. 图像增强算法探索：低光增强、图像修复、超分辨率重建 ……

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

🌕 [BMVC 2022] You Only Need 90K Parameters to Adapt Light: A Light Weight Transformer for Image Enhancement and Exposure Correction. SOTA for low light enhancement, 0.004 seconds try this for pre-processing.

Python implementation of two low-light image enhancement techniques via illumination map estimation

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

[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