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Drivable Volumetric Avatars Using Texel-aligned Features
Research & Education
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DescriptionWe propose a framework for modeling and driving full-body avatars of real people. We introduce a novel volumetric representation that supports driving of clothed avatars through texel-aligned features — a localized representation that leverages both the structural prior of a skeleton-based parametric model and observed sparse image signals at the same time.