3D Human Pose, Shape and Texture From Low-Resolution Images and Videos
3D human pose and shape estimation from monocular images has been an active research area in computer vision. Existing deep learning methods for this task rely on high-resolution input, which however, is not always available in many scenarios such as video surveillance and sports broadcasting. Two c...
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Détails bibliographiques
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 44(2022), 9 vom: 03. Sept., Seite 4490-4504
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| Auteur principal: |
Xu, Xiangyu
(Auteur) |
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| Autres auteurs: |
Chen, Hao,
Moreno-Noguer, Francesc,
Jeni, Laszlo A,
De la Torre, Fernando |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2022
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| Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence
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| Sujets: | Journal Article
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S. |
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