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.
Duomo: Dual motion diffusion for world-space human reconstruction
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
fields
cs.CV 3years
2026 3verdicts
UNVERDICTED 3representative citing papers
DanceHMR proposes a temporal whole-body mesh recovery method that fuses body context with hand observations for improved hand detail and stability in monocular videos.
FactorizedHMR recovers 3D human meshes from video by deterministically anchoring the torso-root then probabilistically completing distal articulations via flow-matching with geometry-aware supervision and a synthetic data pipeline.
citing papers explorer
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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.
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DanceHMR: Hand-Aware Whole-Body Human Mesh Recovery from Monocular Videos
DanceHMR proposes a temporal whole-body mesh recovery method that fuses body context with hand observations for improved hand detail and stability in monocular videos.
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FactorizedHMR: A Hybrid Framework for Video Human Mesh Recovery
FactorizedHMR recovers 3D human meshes from video by deterministically anchoring the torso-root then probabilistically completing distal articulations via flow-matching with geometry-aware supervision and a synthetic data pipeline.