March 27, 2024, 4:46 a.m. | Dongqing Wang, Tong Zhang, Alaa Abboud, Sabine S\"usstrunk

cs.CV updates on arXiv.org arxiv.org

arXiv:2305.15094v2 Announce Type: replace
Abstract: We propose InNeRF360, an automatic system that accurately removes text-specified objects from 360-degree Neural Radiance Fields (NeRF). The challenge is to effectively remove objects while inpainting perceptually consistent content for the missing regions, which is particularly demanding for existing NeRF models due to their implicit volumetric representation. Moreover, unbounded scenes are more prone to floater artifacts in the inpainted region than frontal-facing scenes, as the change of object appearance and background across views is more …

arxiv consistent cs.cv fields inpainting neural radiance fields object text type

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