March 18, 2024, 4:45 a.m. | Tianxiang Ye, Qi Wu, Junyuan Deng, Guoqing Liu, Liu Liu, Songpengcheng Xia, Liang Pang, Wenxian Yu, Ling Pei

cs.CV updates on arXiv.org arxiv.org

arXiv:2403.10340v1 Announce Type: new
Abstract: In recent years, Neural Radiance Fields (NeRFs) have demonstrated significant potential in encoding highly-detailed 3D geometry and environmental appearance, positioning themselves as a promising alternative to traditional explicit representation for 3D scene reconstruction. However, the predominant reliance on RGB imaging presupposes ideal lighting conditions: a premise frequently unmet in robotic applications plagued by poor lighting or visual obstructions. This limitation overlooks the capabilities of infrared (IR) cameras, which excel in low-light detection and present a …

abstract arxiv cs.cv cs.ro encoding environmental fields geometry however imaging lighting nerf neural radiance fields reliance representation type

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