Detailed Facial Geometry Recovery from Multi-view Images by Learning an Implicit Function. (arXiv:2201.01016v1 [cs.CV])

Recovering detailed facial geometry from a set of calibrated multi-view
images is valuable for its wide range of applications. Traditional multi-view
stereo (MVS) methods adopt optimization methods to regularize the matching
cost. Recently, learning-based methods integrate all these into an end-to-end
neural network and show superiority of efficiency. In this paper, we propose a
novel architecture to recover extremely detailed 3D faces in roughly 10
seconds. Unlike previous learning-based methods that regularize the cost volume
via 3D CNN, we propose …

arxiv cv geometry learning