Author

Junhee Cho

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Open access 2026

DiNGGA: Dirichlet and Noise-Guided Gaussian Avatar for Fine-Grained Facial Detail

This paper proposes DiNGGA (Dirichlet and Noise-Guided Gaussian Avatars), a 3D Dirichlet PDF-based height field defined over each mesh triangle of the face region, enabling explicit modeling of expression-dependent wrinkles and non-rigid surface deformations in head avatar reconstruction.

Junhee Cho, Seonghak Lee, Jongmin Lee et al. · IEEE Access · 0 citations