2 papers
cs.CV2026
Rethinking Exposure Correction for Spatially Non-uniform Degradation
Ao Li, Jiawei Sun, Le Dong +2
Real-world exposure correction is fundamentally challenged by spatially non-uniform degradations, where diverse exposure errors frequently coexist within a single image. However, e…
cs.CV2025
LoopExpose: An Unsupervised Framework for Arbitrary-Length Exposure Correction
Ao Li, Chen Chen, Zhenyu Wang +3
Exposure correction is essential for enhancing image quality under challenging lighting conditions. While supervised learning has achieved significant progress in this area, it rel…