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Generating Diverse 3D Neural Avatars by Random feelings is a document available to read on EtoBox.

The document presents gDNA, a novel method for generating diverse and detailed 3D human avatars with control over identity, clothing, and pose, while capturing realistic garment details like wrinkles. It utilizes a multi-subject forward skinning module trained on a limited number of posed scans, enabling the synthesis of novel identities and shapes without requiring extensive manual effort or skinning weight supervision. The approach significantly enhances the fidelity of geometric details and outperforms e

Author
Random feelings
Language
EN