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LiveAnimate achieves real-time, stable long-form human animation

By PulseAugur Editorial · [2 sources] ·

Researchers have developed LiveAnimate, a novel system capable of generating stable, long-form human animations in real-time. This system utilizes a 14-billion parameter video diffusion transformer, enhanced with specialized training techniques like Reference-Anchored Teacher-Forcing Adaptation and Block-wise Self-Forcing Distillation to achieve a three-step sampling budget. To maintain visual consistency over extended durations without increasing computational load, LiveAnimate incorporates Pose-Retrieval Sink Attention, a bounded KV-cache mechanism that selectively recalls appearance context based on pose similarity. This allows for streaming inference at approximately 19.63 FPS on dual NVIDIA H100 GPUs, significantly outperforming previous methods in both quality and efficiency for interactive animation. AI

IMPACT Enables real-time interactive applications like live streaming and virtual avatars with high-quality, long-form human animation.

RANK_REASON The cluster describes a new research paper detailing a novel system for animation generation.

Read on Hugging Face Daily Papers →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

LiveAnimate achieves real-time, stable long-form human animation

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The cluster describes a new research paper detailing a novel system for animation generation.
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COVERAGE [2]

  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    LiveAnimate: Stable Long-Form Streaming Human Animation in Real-Time

    LiveAnimate enables real-time, long-form pose-driven human animation via a 14B-parameter video diffusion transformer with specialized training, bounded attention caching, and sequence parallelism.

  2. arXiv cs.CV TIER_1 English(EN) · Yuxuan Zhang, Haozhong Xiong, Yubo Huang, Jiayi Song, Jinpeng Yu, Haofan Wang, Jiaming Liu, Ruihua Huang, Liwei Wang ·

    LiveAnimate: Stable Long-Form Streaming Human Animation in Real-Time

    arXiv:2608.11745v1 Announce Type: new Abstract: Pose-driven human animation synthesizes a video of a target person from a single reference image and a driving pose stream. Real-time generation is essential for interactive applications such as live streaming, telepresence, and vir…

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