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MoSAIC framework enables precise part-local motion style transfer

Researchers have developed MoSAIC, a new latent diffusion framework designed for part-local motion style transfer. This framework allows for the selective editing of character motion by transferring gestures or gaits from reference motions while preserving specific aspects of the original action, such as timing and root trajectory. MoSAIC's key innovation is aligned intervention supervision, which creates synchronized references and counterfactual targets through controlled local transformations, enabling more precise control over motion editing. AI

IMPACT Enables more precise and controllable editing of character motion in digital environments.

RANK_REASON The cluster contains a research paper submitted to arXiv. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

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MoSAIC framework enables precise part-local motion style transfer

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The cluster contains a research paper submitted to arXiv. [lever_c_demoted from research: ic=1 ai=1.0]
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  1. arXiv cs.CV TIER_1 English(EN) · Nazanin Amini, Kevin Desai ·

    MoSAIC: Aligned Intervention Supervision for Part-Local Motion Style Transfer

    arXiv:2607.26304v1 Announce Type: new Abstract: Editing character motion often requires transferring a gesture or gait from one or more reference motions while preserving the source action, timing, root trajectory, and unselected body regions. Existing motion datasets, however, r…