Zhiqiang Lang — accepted AI-conference papers

2026

RawMetaDiff: Unlocking Extreme Darkness from Dual-Exposure RAW with Meta-Guided Diffusion

Panjun Liu, Jiyuan Xia, Yuanshen Guan, Yong Li, Zhiqiang Lang, Ruikang Xu +4

CVPR 2026

Extreme low-light Raw image restoration remains challenging due to overwhelming noise and severe detail loss.In this paper, we exploit the potential of the dual-exposure setting for this severely ill-posed problem.Existing methods suffer from unreliable cross-exposure alignment, resulting in degrade

Cited by 0 Source ↗Scholar ↗

2023

Learning Steerable Function for Efficient Image Resampling

Jiacheng Li, Chang Chen, Wei Huang, Zhiqiang Lang, Fenglong Song, Youliang Yan +1

CVPR 2023poster

Image resampling is a basic technique that is widely employed in daily applications. Existing deep neural networks (DNNs) have made impressive progress in resampling performance. Yet these methods are still not the perfect substitute for interpolation, due to the issues of efficiency and continuous…

Cited by 11 Source ↗PDF ↗Scholar ↗