A geometry-aware retargeting method uses Transformer-refined adaptive anchors and a graph autoencoder to preserve interaction semantics like self-contact across characters with exaggerated proportions.
Proceedings of the IEEE conference on computer vision and pattern recognition , pages=
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
UNVERDICTED 2representative citing papers
AnyAct generates editable human reenactments from character videos via conditional motion generation from transferable sparse local 2D articulated cues, with designs for human-only supervision and global-local decoupling.
citing papers explorer
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Skinned Motion Retargeting with Spatially Adaptive Interaction Guidance
A geometry-aware retargeting method uses Transformer-refined adaptive anchors and a graph autoencoder to preserve interaction semantics like self-contact across characters with exaggerated proportions.
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AnyAct: Towards Human Reenactment of Character Motion From Video
AnyAct generates editable human reenactments from character videos via conditional motion generation from transferable sparse local 2D articulated cues, with designs for human-only supervision and global-local decoupling.