"low-light image enhancement" Papers
12 papers found
Conference
Continuous Exposure Learning for Low-light Image Enhancement using Neural ODEs
Donggoo Jung, Daehyun Kim, Tae Hyun Kim
ICLR 2025
2
citations
Exposure Bracketing Is All You Need For A High-Quality Image
Zhilu Zhang, Shuohao Zhang, Renlong Wu et al.
ICLR 2025oralarXiv:2401.00766
4
citations
Low-Light Image Enhancement via Generative Perceptual Priors
Han Zhou, Wei Dong, Xiaohong Liu et al.
AAAI 2025paperarXiv:2412.20916
15
citations
Luminance-Aware Statistical Quantization: Unsupervised Hierarchical Learning for Illumination Enhancement
Derong Kong, Zhixiong Yang, Shengxi Li et al.
NEURIPS 2025arXiv:2511.01510
See through the Dark: Learning Illumination-affined Representations for Nighttime Occupancy Prediction
Yuan Wu, Zhiqiang Yan, Yigong Zhang et al.
NEURIPS 2025arXiv:2505.20641
2
citations
URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration
Rui Xu, Yuzhen Niu, Yuezhou Li et al.
CVPR 2025arXiv:2505.23068
5
citations
Fast Context-Based Low-Light Image Enhancement via Neural Implicit Representations
Tomáš Chobola, Yu Liu, Hanyi Zhang et al.
ECCV 2024arXiv:2407.12511
28
citations
LightenDiffusion: Unsupervised Low-Light Image Enhancement with Latent-Retinex Diffusion Models
Hai Jiang, Ao Luo, Xiaohong Liu et al.
ECCV 2024arXiv:2407.08939
102
citations
LMT-GP: Combined Latent Mean-Teacher and Gaussian Process for Semi-supervised Low-light Image Enhancement
Ye Yu, Fengxin Chen, Jun Yu et al.
ECCV 2024arXiv:2408.16235
6
citations
Make Lossy Compression Meaningful for Low-Light Images
Shilv Cai, Liqun Chen, Sheng Zhong et al.
AAAI 2024paperarXiv:2305.15030
5
citations
Towards Robust Event-guided Low-Light Image Enhancement: A Large-Scale Real-World Event-Image Dataset and Novel Approach
Guoqiang Liang, Kanghao Chen, Hangyu Li et al.
CVPR 2024arXiv:2404.00834
43
citations
Unveiling Advanced Frequency Disentanglement Paradigm for Low-Light Image Enhancement
Kun Zhou, Xinyu Lin, Wenbo Li et al.
ECCV 2024arXiv:2409.01641
3
citations