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Get 3D object from monocular RGB-D video using diffusion prior with MorpheuS

Get 3D object from monocular RGB-D video using diffusion prior with MorpheuS


MorpheuS: Neural Dynamic 360° Surface Reconstruction from Monocular RGB-D Video



... neural representations ... can accurately capture the motion and achieve high-fidelity reconstruction of the target object.


Despite this, real-world video scenarios often feature large unobserved regions where neural representations struggle to achieve realistic completion.


... introduce MorpheuS, a framework for dynamic 360° surface reconstruction from a casually captured RGB-D video


... models the target scene as a canonical field that encodes its geometry and appearance, in conjunction with a deformation field that warps points from the current frame to the canonical space.


... leverage a view-dependent diffusion prior and distill knowledge from it to achieve realistic completion of unobserved regions.


... method can achieve high-fidelity 360° surface reconstruction of a deformable object from a monocular RGB-D video.



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