A semi-supervised MVS training method that transfers monocular relative-depth structure priors into MVS predictions via a deep feature loss and a multi-scale statistical loss, improving depth accuracy on ScanNet++ and ARKitScenes.
ARK- itscenes - a diverse real-world dataset for 3D indoor scene understanding using mobile RGB-D data
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Prism: Semi-Supervised Multi-View Stereo with Monocular Structure Priors
A semi-supervised MVS training method that transfers monocular relative-depth structure priors into MVS predictions via a deep feature loss and a multi-scale statistical loss, improving depth accuracy on ScanNet++ and ARKitScenes.