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Vorch-Human audio-visual generation paper withdrawn by author

By PulseAugur Editorial · [1 sources] ·

A research paper titled Vorch-Human, which proposed a unified framework for human-centric audio-visual generation, has been withdrawn by its author, Yaohui Wang. The framework utilized a dual-stream audio-video diffusion transformer to handle tasks such as animating a person from speech, generating speech and video from a voice reference, and synthesizing scenes from appearance and voice references. The paper detailed a two-level data pipeline for annotation and adapted the model for long-form generation, demonstrating improved identity preservation and synchronization. AI

IMPACT A proposed unified framework for human-centric audio-visual generation has been withdrawn, indicating potential issues with its methodology or findings.

RANK_REASON The cluster contains a withdrawn academic paper. [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 →

Vorch-Human audio-visual generation paper withdrawn by author

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The cluster contains a withdrawn academic paper. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Yang Ding, Haoran Yu, Xin Ma, Yulei Lu, Menglin Han, Yaole Wang, Siqian Yang, Gang Yue, Kaihao Zhang, Yaohui Wang, Lin Ma ·

    Vorch-Human: Unified Multi-Task Human-Centric Generation via Long-Horizon Continuation

    arXiv:2609.26117v2 Announce Type: replace Abstract: Human-centric audio-visual generation spans several closely related tasks: animating a person from driving speech, jointly generating speech and video from a voice reference, and synthesizing a scene from paired appearance and v…

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