arXiv AI By Haoyu Zhang, Zhipeng Li, Yiwen Guo, Tianshu Yu

Ex-Omni: Enabling 3D Facial Animation Generation for Omni-modal Large Language Models

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arXiv:2602. 07106v2 Announce Type: replace-cross Abstract: Omni-modal large language models (OLLMs) aim to unify multimodal understanding and generation, yet extending them to jointly produce speech and 3D facial animation remains largely unexplored despite its importance for natural human-computer interaction.

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arXiv Computer Vision
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Training-Free Speech-Centric Omni Understanding with Frozen VLMs

The paper introduces Training-Free Omni (TFO), a plug‑and‑play framework that transforms a frozen vision‑language model (VLM) into a speech‑centric omni model without modifying its architecture or requiring multimodal re‑alignment. TFO leverages Whisper to generate confidence‑filtered, timestamped transcripts and routes them through the VLM’s existing language interface, leaving the visual pathway untouched. Evaluations on 56 benchmarks across 21 languages show that TFO matches or surpasses native omni models on audio‑visual tasks, improves audio‑only performance, and preserves strong visual and reasoning capabilities.

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arXiv Computer Vision
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MegaAvatar: Controllable Talking Avatar Generation

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arXiv AI
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OmniGAIA: Towards Native Omni-Modal AI Agents

arXiv:2602. 22897v3 Announce Type: replace Abstract: Human intelligence naturally intertwines omni-modal perception -- spanning vision, audio, and language -- with complex reasoning and tool usage to interact with the world.

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