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6m: Large scale datasets and predictive methods for 3d human sensing in natural environments , author=

3 Pith papers cite this work. Polarity classification is still indexing.

3 Pith papers citing it

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cs.CV 2 cs.HC 1

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2026 3

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UNVERDICTED 3

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AnyAct: Towards Human Reenactment of Character Motion From Video

cs.CV · 2026-05-15 · unverdicted · novelty 6.0 · 2 refs

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.

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Showing 2 of 2 citing papers after filters.

  • Chatting about Upper-Body Expressive Human Pose and Shape Estimation cs.CV · 2026-04-20 · unverdicted · none · ref 28

    CoEvoer is a new cross-dependency transformer framework for upper-body expressive human pose and shape estimation that achieves state-of-the-art performance by enabling mutual enhancement between body parts.

  • AnyAct: Towards Human Reenactment of Character Motion From Video cs.CV · 2026-05-15 · unverdicted · none · ref 87 · 2 links

    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.