HandsOnWorld creates a hand-controlled egocentric video generator from unconstrained monocular video via a new EgoVid-Pro dataset from monocular reconstruction and a Plücker Hand Map that disentangles camera and hand motion.
Reconstructing hands in 3d with transformers
3 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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UNVERDICTED 3representative citing papers
RoSHI is a hybrid wearable that combines sparse IMUs and egocentric SLAM to capture accurate full-body 3D pose and shape data in natural environments for robot learning.
OmniHands adds relation-aware tokenization and 4D attention fusion to a transformer so it can reconstruct interactive hand meshes from monocular or multi-view inputs.
citing papers explorer
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HandsOnWorld: Unconstrained Egocentric Video Generation with Camera-Disentangled Hand Control
HandsOnWorld creates a hand-controlled egocentric video generator from unconstrained monocular video via a new EgoVid-Pro dataset from monocular reconstruction and a Plücker Hand Map that disentangles camera and hand motion.
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RoSHI: A Versatile Robot-oriented Suit for Human Data In-the-Wild
RoSHI is a hybrid wearable that combines sparse IMUs and egocentric SLAM to capture accurate full-body 3D pose and shape data in natural environments for robot learning.
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OmniHands: Towards Robust 4D Hand Mesh Recovery via A Versatile Transformer
OmniHands adds relation-aware tokenization and 4D attention fusion to a transformer so it can reconstruct interactive hand meshes from monocular or multi-view inputs.