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Omni-LiveAvatar enables real-time, minute-long audio-visual avatar generation

Researchers have introduced Omni-LiveAvatar, a novel framework designed for real-time, minute-long generation of synchronized audio-visual avatars. This system utilizes a progressive autoregressive distillation pipeline to significantly speed up generation compared to its teacher model, LTX-2. It also incorporates a synchronized audio-video long-short-term memory for global consistency and a hierarchical rolling prompt planning strategy for coherent semantic evolution. Experiments demonstrate that Omni-LiveAvatar achieves a 33x speedup on NVIDIA H200 GPUs while maintaining high quality in visual and audio synchronization and human fidelity. AI

IMPACT Enables more immersive and interactive digital-human experiences through real-time, extended avatar generation.

RANK_REASON The cluster describes a new framework and methodology for generating audio-visual avatars, detailed in an arXiv 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 →

Omni-LiveAvatar enables real-time, minute-long audio-visual avatar generation

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The cluster describes a new framework and methodology for generating audio-visual avatars, detailed in an arXiv 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) · Lunjie Zhu, Xingtong Ge, Fangyu Lin, Yi Zhang, Zhening Liu, Mengfei Li, Yumeng Zhang, Guanglu Song, Yu Liu, Jun Zhang ·

    Omni-LiveAvatar: Minute-Level Real-Time Streaming Joint Audio-Visual Avatar Generation

    arXiv:2608.13602v1 Announce Type: cross Abstract: Joint audio-video generative models serve as foundation for immersive and interactive digital-human generation. Nevertheless, most existing models rely on bidirectional attention and multi-step denoising and can generate only shor…