Improve 3D human reconstruction by using occupancy planes with OPlanes
Improve 3D human reconstruction by using occupancy planes with OPlanes
Occupancy Planes for Single-view RGB-D Human Reconstruction
arXiv paper abstract https://arxiv.org/abs/2208.02817
arXiv PDF paper https://arxiv.org/pdf/2208.02817.pdf
Single-view RGB-D human reconstruction with implicit functions is often formulated as per-point classification.
... The feature of each 3D location is then used to classify independently whether the corresponding 3D point is inside or outside the observed object.
This procedure leads to sub-optimal results because correlations between predictions for neighboring locations are only taken into account implicitly via the extracted features.
... propose the occupancy planes (OPlanes) representation, which enables to formulate single-view RGB-D human reconstruction as occupancy prediction on planes which slice through the camera's view frustum.
Such a representation provides more flexibility than voxel grids and enables to better leverage correlations than per-point classification.
... observe a simple classifier based on the OPlanes representation to yield compelling results ...
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