The article introduces a novel approach to updating NeRFs for object reconfigurations, addressing the challenge of accommodating changes in static scenes. By utilizing sparse new images and a helper NeRF model, the method can quickly update pre-trained NeRFs in just 1 to 2 minutes. The core idea involves identifying scene changes and updating the NeRF accordingly, sidestepping optimization difficulties. This method imposes no constraints on NeRF pre-training and requires no extra user input or explicit semantic priors. It is significantly faster than retraining NeRF from scratch while maintaining performance.
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by Ziqi Lu,Jian... um arxiv.org 03-19-2024
https://arxiv.org/pdf/2403.11024.pdfTiefere Fragen