3 papers
cs.CV2026
SeeClear: Reliable Transparent Object Depth Estimation via Generative Opacification
Xiaoying Wang, Yumeng He, Jingkai Shi +4
Monocular depth estimation remains challenging for transparent objects, where refraction and transmission are difficult to model and break the appearance assumptions used by depth…
cs.CV2025
TPCNet: Triple physical constraints for Low-light Image Enhancement
Jing-Yi Shi, Ming-Fei Li, Ling-An Wu
Low-light image enhancement is an essential computer vision task to improve image contrast and to decrease the effects of color bias and noise. Many existing interpretable deep-lea…
physics.comp-ph2025
Single-pixel imaging via data-driven and deep image prior dual networks
Jing-yi Shi, Jia-qi Song, Peng-cheng Ji +4
Single-pixel imaging(SPI),especially when integrated with deep neural networks like deep image prior networks (DIP-Net) or data-driven networks (DD-Net), has gained considerable at…