Unsupervised learning of 3D object categories from videos in the wild
Our goal is to learn a deep network that, given a small number of images of an object of a given category, reconstructs it in 3D. While several recent works have obtained analogous results using synthetic data or assuming the availability of 2D primitives such as keypoints, we are interested in work...
| Główni autorzy: | , , , , , , |
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| Format: | Conference item |
| Język: | English |
| Wydane: |
IEEE
2021
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