low-light topic

a dehaze / picture enhancement demo using ncnn

JuZiSYJ

[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)

megvii-research

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

ZYK100

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

jinyeying

[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

Srameo

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

Chris10M

IJCV2023 paper: Deblurring Low-Light Images with Events

fourson

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

chenjingong