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Entity-NeRF: Detecting and Removing Moving Entities in Urban Scenes
March 26, 2024, 4:47 a.m. | Takashi Otonari, Satoshi Ikehata, Kiyoharu Aizawa
cs.CV updates on arXiv.org arxiv.org
Abstract: Recent advancements in the study of Neural Radiance Fields (NeRF) for dynamic scenes often involve explicit modeling of scene dynamics. However, this approach faces challenges in modeling scene dynamics in urban environments, where moving objects of various categories and scales are present. In such settings, it becomes crucial to effectively eliminate moving objects to accurately reconstruct static backgrounds. Our research introduces an innovative method, termed here as Entity-NeRF, which combines the strengths of knowledge-based and …
abstract arxiv challenges cs.cv dynamic dynamics environments fields however modeling moving nerf neural radiance fields objects study type urban
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