New framework enables real-time, one-shot emotion-controllable portrait animation

By PulseAugur Editorial · [1 sources] · 2026-08-04 04:00

Researchers have developed a new framework called Proxy Avatar Meets Low-Rank Caching for real-time, one-shot portrait animation driven by audio and emotion. This method utilizes a Gaussian-based emotion proxy avatar to generate expressive motion, which is then adapted to target portraits by a one-shot retargeting model. To enhance efficiency, the system employs low-rank caching to reuse appearance features and low-rank adapters to model feature variations, enabling faster inference and real-time animation. AI

IMPACT Enables more expressive and efficient AI-driven animation for digital avatars and content creation.

RANK_REASON This is a research paper detailing a new technical framework for portrait animation. [lever_c_demoted from research: ic=1 ai=1.0]

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Newsworthiness bucket: Tool; This is a research paper detailing a new technical framework for portrait animation. [lever_c_demoted from research: ic=1 ai=1.0]
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arXiv cs.CV TIER_1 English(EN) · Haijie Yang, Jindi Bao, Yixuan Dong, Hongliang Zhang, Jian Bi, Hao Tang, Zhenyu Zhang, Jianjun Qian, Jian Yang · 2026-08-04 04:00

Proxy Avatar Meets Low-Rank Caching: Real-Time One-Shot Emotion-Controllable Portrait Animation

arXiv:2608.01978v1 Announce Type: new Abstract: Audio-driven portrait animation has advanced rapidly with diffusion-based generative models, yet real-time one-shot generation with expressive emotion control remains challenging. Existing methods often suffer from insufficient emot…