From None to All: Self-Supervised 3D Reconstruction via Novel View Synthesis
arXiv:2603.27455v1 Announce Type: new
Abstract: In this paper, we introduce NAS3R, a self-supervised feed-forward framework that jointly learns explicit 3D geometry and camera parameters with no ground-truth annotations and no pretrained priors. Durin…