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MegaAvatar framework generates controllable talking avatars with 3D motion guidance

By PulseAugur Editorial · [1 sources] ·

Researchers have introduced MegaAvatar, a new framework for generating controllable talking avatars. This system builds upon the Wan2.2-TI2V-5B model and incorporates 3D guidance derived from SMPL-X data to control body pose and head motion. MegaAvatar also features enhanced audio and face cross-attention modules for precise facial expression control and identity preservation, enabling high-quality avatar generation with synchronized speech and consistent identity. AI

IMPACT This framework could enhance the creation of realistic and controllable virtual avatars for various applications, from gaming to virtual meetings.

RANK_REASON Research paper detailing a new model/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 →

MegaAvatar framework generates controllable talking avatars with 3D motion guidance

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Research paper detailing a new model/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) · Junyao Gao, Sibo Liu, Weidong Zhang, Cairong Zhao, Jun Zhang ·

    MegaAvatar: Controllable Talking Avatar Generation

    arXiv:2609.39273v1 Announce Type: new Abstract: This report presents \textbf{MegaAvatar}, a controllable talking avatar generation framework built on top of the Wan2.2-TI2V-5B model. Compared with previous talking-avatar methods that mainly rely on audio or reference-image condit…

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