3D shape of people from monocular video with SelfRecon
3D shape of people from monocular video with SelfRecon
SelfRecon: Self Reconstruction Your Digital Avatar from Monocular Video
arXiv paper abstract https://arxiv.org/abs/2201.12792
arXiv PDF paper https://arxiv.org/pdf/2201.12792.pdf
Project page https://jby1993.github.io/SelfRecon
We propose SelfRecon, a clothed human body reconstruction method that combines implicit and explicit representations to recover space-time coherent geometries from a monocular self-rotating human video.
Explicit methods require a predefined template mesh ... while the template is hard to acquire ... fixed topology limits ... accuracy and clothing types.
Implicit methods support arbitrary topology and have high quality ... However, ... difficult to integrate multi-frame information to produce a consistent registration
... propose to combine the advantages of both representations.
... utilize differential mask loss of the explicit mesh to obtain the coherent overall shape, while the details on the implicit surface are refined with the differentiable neural rendering. ... explicit mesh is updated ... to adjust its topology changes
... SelfRecon can produce high-fidelity surfaces for arbitrary clothed humans ... on real captured monocular videos.
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