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Fast Sparse View Guided NeRF Update for Object Reconfigurations
March 19, 2024, 4:48 a.m. | Ziqi Lu, Jianbo Ye, Xiaohan Fei, Xiaolong Li, Jiawei Mo, Ashwin Swaminathan, Stefano Soatto
cs.CV updates on arXiv.org arxiv.org
Abstract: Neural Radiance Field (NeRF), as an implicit 3D scene representation, lacks inherent ability to accommodate changes made to the initial static scene. If objects are reconfigured, it is difficult to update the NeRF to reflect the new state of the scene without time-consuming data re-capturing and NeRF re-training. To address this limitation, we develop the first update method for NeRFs to physical changes. Our method takes only sparse new images (e.g. 4) of the altered …
abstract arxiv cs.cv data nerf neural radiance field object objects representation state type update view
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