Get 3D shape and pose of deformable object by first learn coarse parameters and then motion with S3O
Get 3D shape and pose of deformable object by first learn coarse parameters and then motion with S3O
S3O: A Dual-Phase Approach for Reconstructing Dynamic Shape and Skeleton of Articulated Objects from Single Monocular Video
arXiv paper abstract https://arxiv.org/abs/2405.12607
arXiv PDF paper https://arxiv.org/pdf/2405.12607
Reconstructing dynamic articulated objects from a singular monocular video is challenging, requiring joint estimation of shape, motion, and camera parameters from limited views.
… propose Synergistic Shape and Skeleton Optimization (S3O), a … two-phase method that forgoes these prerequisites and … learns parametric models including visible shapes and underlying skeletons.
Conventional strategies typically learn all parameters simultaneously, leading to interdependencies where a single incorrect prediction can result in significant errors.
In contrast, S3O adopts a phased approach: it first focuses on learning coarse parametric models, then progresses to motion learning and detail addition.
This method substantially lowers computational complexity and enhances robustness in reconstruction from limited viewpoints, all without requiring additional annotations.
… S3O provides more accurate 3D reconstruction, and plausible skeletons, and reduces the training time by approximately 60% compared to the state-of-the-art …
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