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UMo architecture enables real-time co-speech avatar animation

Researchers have introduced UMo, a novel architecture designed for real-time co-speech avatar animation. This system unifies the processing of text, audio, and motion data into a single formulation, enabling more expressive and coherent facial and gesture generation. UMo utilizes a sparse Mixture-of-Experts framework and a keyframe-centric approach to achieve high-fidelity animation with low latency, making it a practical solution for interactive media and virtual production. AI

IMPACT This research offers a practical solution for generating high-fidelity, real-time animations for digital avatars, potentially enhancing virtual interactions and media production.

RANK_REASON The cluster contains a new academic paper detailing a novel architecture for a specific AI application. [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 →

UMo architecture enables real-time co-speech avatar animation

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The cluster contains a new academic paper detailing a novel architecture for a specific AI application. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Yanwen Guo ·

    UMo: Unified Sparse Motion Modeling for Real-Time Co-Speech Avatars

    Speech-driven gestures and facial animations are fundamental to expressive digital avatars in games, virtual production, and interactive media. However, existing methods are either limited to a single modality for audio motion alignment, failing to fully utilize the potential of …