April 2, 2024, 7:47 p.m. | Guoqiang Liang, Kanghao Chen, Hangyu Li, Yunfan Lu, Lin Wang

cs.CV updates on arXiv.org arxiv.org

arXiv:2404.00834v1 Announce Type: new
Abstract: Event camera has recently received much attention for low-light image enhancement (LIE) thanks to their distinct advantages, such as high dynamic range. However, current research is prohibitively restricted by the lack of large-scale, real-world, and spatial-temporally aligned event-image datasets. To this end, we propose a real-world (indoor and outdoor) dataset comprising over 30K pairs of images and events under both low and normal illumination conditions. To achieve this, we utilize a robotic arm that traces …

arxiv cs.cv dataset event image light low novel robust scale type world

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