Indoor 3D scene reconstruction using flat surface prior but unknown frame with Popovic
Indoor 3D scene reconstruction using flat surface prior but unknown frame with Popovic
Neural Radiance Fields for Manhattan Scenes with Unknown Manhattan Frame
arXiv paper abstract https://arxiv.org/abs/2212.01331
arXiv PDF paper https://arxiv.org/pdf/2212.01331.pdf
Novel view synthesis and 3D modeling using implicit neural field representation are shown to be very effective for calibrated multi-view cameras.
… aim to leverage the geometric prior of Manhattan scenes to improve the implicit neural radiance field representations.
… assume that only the knowledge of the indoor scene (under investigation) being Manhattan is known — with no additional information whatsoever — with an unknown Manhattan coordinate frame.
Such high-level prior is used to self-supervise the surface normals derived explicitly in the implicit neural fields.
… modeling allows us to group the derived normals and exploit their orthogonality constraints for self-supervision.
… experiments on … indoor scenes demonstrate the significant benefit of the proposed method over the established baselines.
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