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pro vyhledávání: '"Zuo, Binghui"'
Reconstructing interacting hands from monocular images is indispensable in AR/VR applications. Most existing solutions rely on the accurate localization of each skeleton joint. However, these methods tend to be unreliable due to the severe occlusion
Externí odkaz:
http://arxiv.org/abs/2308.14082
Acquiring contact patterns between hands and nonrigid objects is a common concern in the vision and robotics community. However, existing learning-based methods focus more on contact with rigid ones from monocular images. When adopting them for nonri
Externí odkaz:
http://arxiv.org/abs/2308.14074
Enormous hand images with reliable annotations are collected through marker-based MoCap. Unfortunately, degradations caused by markers limit their application in hand appearance reconstruction. A clear appearance recovery insight is an image-to-image
Externí odkaz:
http://arxiv.org/abs/2303.06380
We construct the first markerless deformable interaction dataset recording interactive motions of the hands and deformable objects, called HMDO (Hand Manipulation with Deformable Objects). With our built multi-view capture system, it captures the def
Externí odkaz:
http://arxiv.org/abs/2301.07652
Physical contact provides additional constraints for hand-object state reconstruction as well as a basis for further understanding of interaction affordances. Estimating these severely occluded regions from monocular images presents a considerable ch
Externí odkaz:
http://arxiv.org/abs/2205.00848
Akademický článek
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Akademický článek
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Publikováno v:
IEEE transactions on visualization and computer graphics [IEEE Trans Vis Comput Graph] 2024 Sep 23; Vol. PP. Date of Electronic Publication: 2024 Sep 23.
