Arxiv Papers

[short] Relightable Gaussian Codec Avatars


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The paper presents a method for building high-fidelity relightable head avatars that can be animated to generate novel expressions, using a geometry model based on 3D Gaussians and a relightable appearance model based on learnable radiance transfer. The method achieves real-time relighting with spatially all-frequency reflections and improves the fidelity of eye reflections.


https://arxiv.org/abs//2312.03704


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Arxiv PapersBy Igor Melnyk

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