Search Results for author: Kangbiao Shi

Found 2 papers, 2 papers with code

FusionNet: Multi-model Linear Fusion Framework for Low-light Image Enhancement

1 code implementation27 Apr 2025 Kangbiao Shi, Yixu Feng, Tao Hu, Yu Cao, Peng Wu, Yijin Liang, Yanning Zhang, Qingsen Yan

The advent of Deep Neural Networks (DNNs) has driven remarkable progress in low-light image enhancement (LLIE), with diverse architectures (e. g., CNNs and Transformers) and color spaces (e. g., sRGB, HSV, HVI) yielding impressive results.

Low-Light Image Enhancement

HVI: A New color space for Low-light Image Enhancement

1 code implementation27 Feb 2025 Qingsen Yan, Yixu Feng, Cheng Zhang, Guansong Pang, Kangbiao Shi, Peng Wu, Wei Dong, Jinqiu Sun, Yanning Zhang

Low-Light Image Enhancement (LLIE) is a crucial computer vision task that aims to restore detailed visual information from corrupted low-light images.

Low-Light Image Enhancement

Cannot find the paper you are looking for? You can Submit a new open access paper.