From video get 3D shape of people, animals, and other non-rigid objects
From video get 3D shape of people, animals, and other non-rigid objects
3D Reconstruction from Videos: LASR
Generate 3D models of humans or animals moving from only a short video as input.
LASR: Learning Articulated Shape Reconstruction from a Monocular Video
Project Web site https://lasr-google.github.io
arXiv paper abstract https://arxiv.org/abs/2105.02976
arXiv PDF paper https://arxiv.org/pdf/2105.02976.pdf
... challenging to reconstruct nonrigid structures from RGB inputs, due to its under-constrained nature.
... In this work, we introduce a template-free approach to learn 3D shapes from a single video. It adopts an analysis-by-synthesis strategy that forward-renders object silhouette, optical flow, and pixel values to compare with video observations, which generates gradients to adjust the camera, shape and motion parameters. Without using a category-specific shape template, our method faithfully reconstructs nonrigid 3D structures from videos of human, animals, and objects of unknown classes. ...
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