Saturation/underexposure/declipping CNN

Implementation of the sped-up solver of LIME image enhancement algorithm from the paper "LIME: Low-Light Image Enhancement via Illumination Map Estimation"

Software and electronics for the portable SiPM luminometer.

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

[IJCV'24] Temporally Consistent Enhancement of Low-light Videos via Spatial-Temporal Compatible Learning

[CVPR2024]Day-Night Cross-domain Vehicle Re-identification

IJCV2023 paper: Deblurring Low-Light Images with Events

GenISP: Neural ISP for Low-Light Machine Cognition

EventEgo3D: 3D Human Motion Capture from Egocentric Event Streams [CVPR'24]

Rethinking Noise Synthesis and Modeling in Raw Denoising (ICCV2021)

Low Light Image Enhancement

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

[CVPR 2023] Diverse Embedding Expansion Network and Low-Light Cross-Modality Benchmark for Visible-Infrared Person Re-identification

Download and convert MIDV-500 annotations to COCO instance segmentation format

[TPAMI 2023 / ACMMM 2022 Best Paper Runner-Up Award] Learnability Enhancement for Low-light Raw Denoising: Where Paired Real Data Meets Noise Modeling (a Data Perspective)

[ICCV 2023] Lighting Every Darkness in Two Pairs: A Calibration-Free Pipeline for RAW Denoising && [Arxiv 2023] Make Explicit Calibration Implicit: Calibrate Denoiser Instead of the Noise Model

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

[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