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Relightable 3D Avatar Reconstruction with Semantic-Adaptive Motion-Illumination Responses
Reconstructing expressive and relightable 3D head avatars from monocular videos remains challenging in computer vision, as it requires accurate modeling of both non-rigid facial motion and illumination-dependent appearance. Existing Gaussian avatar methods commonly rely on globally coupled represent
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