Aditya Vora

DiViNeT: 3D Reconstruction from Disparate Views using Neural Template Regularization

We present a volume rendering-based neural surface reconstruction method that takes as few as three disparate RGB images as input. Our key idea is to regularize the reconstruction, which is severely ill-posed and leaving significant gaps between the sparse views, by learning a set of neural template…