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Hallo-Live achieves real-time audio-video avatar generation at 20 FPS

Researchers have developed Hallo-Live, a novel framework for real-time text-driven audio-visual avatar generation. This system utilizes an asynchronous dual-stream diffusion approach combined with human-centric preference distillation to achieve high fidelity and synchronization. Hallo-Live demonstrates significant speed improvements, running at 20.38 FPS with low latency, making it suitable for interactive applications. AI

IMPACT Enables real-time, interactive avatar generation for applications like virtual assistants and streaming.

RANK_REASON This is a research paper detailing a new framework for real-time avatar generation.

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Hallo-Live achieves real-time audio-video avatar generation at 20 FPS

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This is a research paper detailing a new framework for real-time avatar generation.
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Chunyu Li, Jiaye Li, Ruiqiao Mei, Haoyuan Xia, Hao Zhu, Jingdong Wang, Siyu Zhu ·

    Hallo-Live: Real-Time Streaming Joint Audio-Video Avatar Generation with Asynchronous Dual-Stream and Human-Centric Preference Distillation

    arXiv:2604.23632v1 Announce Type: new Abstract: Real-time text-driven joint audio-video avatar generation requires jointly synthesizing portrait video and speech with high fidelity and precise synchronization, yet existing audio-visual diffusion models remain too slow for interac…