NTO3D: Neural Target Object 3D Reconstruction with Segment Anything

arXiv:2309.12790v2 Announce Type: replace
Abstract: Neural 3D reconstruction from multi-view images has recently attracted increasing attention from the community. Existing methods normally learn a neural field for the whole scene, while it is still under-explored how to reconstruct a target object indicated by users. Considering the Segment Anything Model (SAM) has shown effectiveness in segmenting any 2D images, in this paper, we propose NTO3D, a novel high-quality Neural Target Object 3D (NTO3D) reconstruction method, which leverages the benefits of both …

3d reconstruction arxiv cs.cv object segment segment anything type