A disentangled geometry-and-appearance model over explicit meshes with differentiable rasterization achieves fast training and rendering for multi-view reconstruction.
Mvsnet: Depth inference for unstructured multi-view stereo
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Disentangled Geometry and Appearance for Efficient Multi-View Surface Reconstruction and Rendering
A disentangled geometry-and-appearance model over explicit meshes with differentiable rasterization achieves fast training and rendering for multi-view reconstruction.