IAM jointly synthesizes motion sequences and body shape parameters conditioned on multimodal identity signals to achieve more realistic and identity-consistent human motions.
In: Proceedings of the IEEE/CVF international conference on computer vision
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MuSteerNet generates realistic 3D human reactions from videos by mutually steering visual observations and reaction motions to reduce content mismatch.
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IAM: Identity-Aware Human Motion and Shape Joint Generation
IAM jointly synthesizes motion sequences and body shape parameters conditioned on multimodal identity signals to achieve more realistic and identity-consistent human motions.
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MuSteerNet: Human Reaction Generation from Videos via Observation-Reaction Mutual Steering
MuSteerNet generates realistic 3D human reactions from videos by mutually steering visual observations and reaction motions to reduce content mismatch.