3D 视觉

Seeing through Light and Darkness: Sensor-Physics Grounded Deblurring HDR NeRF from Single-Exposure Images and Events

透过光与暗：基于传感器物理的去模糊HDR NeRF从单曝光图像和事件

Yunshan Qi, Lin Zhu, Nan Bao, Yifan Zhao, Jia Li

机构 * State Key Laboratory of Virtual Reality Technology and Systems, SCSE & QRI, Beihang University（北京航空航天大学虚拟现实技术与系统国家重点实验室） ； School of Artificial Intelligence, Beijing Normal University（北京师范大学人工智能学院） 纠错

专题命中 NeRF ：NeRF(title,abstract)；novel view synthesis(abstract)；分类 cs.CV

AI总结 本文提出基于传感器物理的NeRF框架，通过单曝光模糊LDR图像和对应事件实现高动态范围和锐利3D表示的合成，利用CRF模型提升HDR和去模糊效果。

Comments Accepted by the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2026. Project Page: https://icvteam.github.io/See-NeRF.html. Our code and datasets are publicly available at https://github.com/iCVTEAM/See-NeRF