Injecting monocular depth and feature priors from a pretrained single-image model into a multi-view stereo network yields state-of-the-art point cloud accuracy on DTU and Tanks-and-Temples.
Twins: Revisiting the design of spatial attention in vision transformers
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MonoMVSNet: Monocular Priors Guided Multi-View Stereo Network
Injecting monocular depth and feature priors from a pretrained single-image model into a multi-view stereo network yields state-of-the-art point cloud accuracy on DTU and Tanks-and-Temples.