DOVE: learning deformable 3D objects by watching videos
Learning deformable 3D objects from 2D images is often an ill-posed problem. Existing methods rely on explicit supervision to establish multi-view correspondences, such as template shape models and keypoint annotations, which restricts their applicability on objects “in the wild”. A more natural way...
| Main Authors: | , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
Springer
2023
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