Zheming Lu — accepted AI-conference papers

2025

UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion

Zixuan Chen, Yujin Wang, Xin Cai, Zhiyuan You, Zheming Lu, Fan Zhang +2

CVPR 2025highlight

Capturing high dynamic range (HDR) scenes is one of the most important issues in camera design. Majority of cameras use exposure fusion, which fuses images captured by different exposure levels, to increase dynamic range. However, this approach can only handle images with limited exposure difference…

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2024

Prompt-Based Test-Time Real Image Dehazing: A Novel Pipeline

Zixuan Chen, Zewei He*, Ziqian Lu, Xuecheng Sun, Zheming Lu

ECCV 2024poster

"Existing methods attempt to improve models’ generalization ability on real-world hazy images by exploring well-designed training schemes (, CycleGAN, prior loss). However, most of them need very complicated training procedures to achieve satisfactory results. For the first time, we present a novel…

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