Dynamic hair modeling from monocular videos using deep neural networks
We introduce a deep learning based framework for modeling dynamic hairs from monocular videos, which could be captured by a commodity video camera or downloaded from Internet. The framework mainly consists of two neural networks, i.e., HairSpatNet for inferring 3D spatial features of hair geometry f...
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| Veröffentlicht in: | ACM transactions on graphics 2019-11, Vol.38 (6), p.1-12 |
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| Hauptverfasser: | , , , |
| Format: | Artikel |
| Sprache: | eng |
| Online-Zugang: | Volltext |
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