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ViPS framework generates plausible 3D mesh articulations from video diffusion models

Researchers have developed a new framework called Video-informed Pose Spaces (ViPS) to generate plausible articulations for 3D meshes. ViPS leverages motion priors from pretrained video diffusion models to create a pose space, avoiding common issues like anatomical hyperextension. This approach allows for diverse shape variations, inverse kinematics, and coherent animation trajectories, even generalizing to unseen skeletal topologies. AI

IMPACT Enables more realistic and controllable 3D mesh animations by distilling generative video model priors into pose spaces.

RANK_REASON The cluster contains an academic paper detailing a new technical framework. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

ViPS framework generates plausible 3D mesh articulations from video diffusion models

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The cluster contains an academic paper detailing a new technical framework. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Honglin Chen, Karran Pandey, Rundi Wu, Matheus Gadelha, Yannick Hold-Geoffroy, Ayush Tewari, Niloy J. Mitra, Changxi Zheng, Paul Guerrero ·

    ViPS: Video-informed Pose Spaces for Auto-Rigged Meshes

    arXiv:2604.17623v3 Announce Type: replace Abstract: Kinematic rigs provide a structured interface for articulating 3D meshes but lack any associated pose space, i.e., an explicit representation of the plausible manifold of joint configurations for a given mesh. Without such a pos…