HeadDiff : Exploring Rotation Uncertainty With Diffusion Models for Head Pose Estimation
In this paper, we propose a probabilistic regression diffusion model for head pose estimation, dubbed HeadDiff, which typically addresses the rotation uncertainty, especially when faces are captured in wild conditions. Unlike conventional image-to-pose methods which cannot explicitly establish the r...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 33(2024) vom: 13., Seite 1868-1882
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| 1. Verfasser: |
Wang, Yaoxing
(VerfasserIn) |
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| Weitere Verfasser: |
Liu, Hao,
Feng, Yaowei,
Li, Zhendong,
Wu, Xiangjuan,
Zhu, Congcong |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2024
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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| Schlagworte: | Journal Article |
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