RC-MVSNet: Unsupervised Multi-View Stereo with Neural Rendering. (arXiv:2203.03949v3 [cs.CV] UPDATED)

Finding accurate correspondences among different views is the Achilles' heel
of unsupervised Multi-View Stereo (MVS). Existing methods are built upon the
assumption that corresponding pixels share similar photometric features.
However, multi-view images in real scenarios observe non-Lambertian surfaces
and experience occlusions. In this work, we propose a novel approach with
neural rendering (RC-MVSNet) to solve such ambiguity issues of correspondences
among views. Specifically, we impose a depth rendering consistency loss to
constrain the geometry features close to the object surface …

arxiv cv neural rendering unsupervised