Sparse 3D Reconstruction via Object-Centric Ray Sampling

arXiv:2309.03008v2 Announce Type: replace
Abstract: We propose a novel method for 3D object reconstruction from a sparse set of views captured from a 360-degree calibrated camera rig. We represent the object surface through a hybrid model that uses both an MLP-based neural representation and a triangle mesh. A key contribution in our work is a novel object-centric sampling scheme of the neural representation, where rays are shared among all views. This efficiently concentrates and reduces the number of samples used …

3d reconstruction arxiv cs.cv object ray sampling type via