GarNet++ : Improving Fast and Accurate Static 3D Cloth Draping by Curvature Loss
In this paper, we tackle the problem of static 3D cloth draping on virtual human bodies. We introduce a two-stream deep network model that produces a visually plausible draping of a template cloth on virtual 3D bodies by extracting features from both the body and garment shapes. Our network learns t...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 44(2022), 1 vom: 15. Jan., Seite 181-195
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| 1. Verfasser: |
Gundogdu, Erhan
(VerfasserIn) |
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| Weitere Verfasser: |
Constantin, Victor,
Parashar, Shaifali,
Seifoddini, Amrollah,
Dang, Minh,
Salzmann, Mathieu,
Fua, Pascal |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2022
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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| Schlagworte: | Journal Article
Research Support, Non-U.S. Gov't |
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