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HaNDF: Object-Conditioned Geometric Neural Hand Distance Fields
Not provided
neural fieldshand-object interactionpose refinement
2611.08578
Builder Relevance
16h ago80%
Abstract
HaNDF proposes a geometry-aware, object-conditioned neural distance field for modeling plausible hand-object configurations.
Reality Card
Core Claim
HaNDF provides a flexible and powerful prior for hand-object interaction, enabling pose refinement and physically plausible manipulation synthesis.
Method / Result
Extensive evaluations demonstrate the effectiveness of HaNDF in optimizing hand poses conditioned on object interactions.
Limitations
The paper does not specify authors or provide detailed reproducibility metrics.
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