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AudioLift: Audio-Driven Single Image to Full-Head Gaussian Avatar via Multi-view Video Generation
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3D modelingavatar generationaudio-driven synthesiscomputer vision
2610.31747
Builder Relevance
1h ago80%
Abstract
AudioLift introduces a framework for generating 3D talking avatars from a single image using audio, overcoming limitations of existing parametric face models.
Reality Card
Core Claim
AudioLift produces 3D talking avatars that can capture extreme facial expressions and maintain strong multi-view consistency without relying on parametric face models.
Method / Result
Achieves improved geometric completeness and strong multi-view consistency across a full 360° viewing range.
Limitations
The method's reliance on generated multi-view videos may pose challenges in reproducibility and generalization to diverse datasets.
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