12 citations · 12 across the 6 of their papers we have counts for
4 papers · 1 filter
Light 'em Up: Enabling Few-Shot Low-Light 3D Gaussian Splatting with Multi-Scale Explicit Retinex Illumination Decoupling
YuHao Yin, Zongji Wang, Yuanben Zhang +3
Full 360 novel view synthesis under low-light conditions remains challenging. Insufficient illumination, noise amplification, and view-dependent photometric inconsistencies…
Beyond Shadows: A Large-Scale Benchmark and Multi-Stage Framework for High-Fidelity Facial Shadow Removal
Tailong Luo, Jiesong Bai, Jinyang Huang +3
Facial shadows often degrade image quality and the performance of vision algorithms. Existing methods struggle to remove shadows while preserving texture, especially under complex…
DLEN: Dual Branch of Transformer for Low-Light Image Enhancement in Dual Domains
Junyu Xia, Jiesong Bai, Yihang Dong
Low-light image enhancement (LLE) aims to improve the visual quality of images captured in poorly lit conditions, which often suffer from low brightness, low contrast, noise, and c…
Retinexmamba: Retinex-based Mamba for Low-light Image Enhancement
Jiesong Bai, Yuhao Yin, Qiyuan He +2
In the field of low-light image enhancement, both traditional Retinex methods and advanced deep learning techniques such as Retinexformer have shown distinct advantages and limitat…