FaceParts: Segmentation and Editing of Gaussian Splatting
Facial editing is an important task with applications in entertainment, virtual reality, and digital avatars. Most existing approaches rely on generative models in the 2D image domain, while in 3D the task is typically performed through labor-intensive manual editing. We propose FaceParts, a framework for unsupervised segmentation and editing of Gaussian Splatting avatars. Unlike existing 2D or mesh-assisted methods, our approach operates directly in the Gaussian domain, decomposing avatars into semantically coherent facial parts without supervision. The method integrates feature disentanglement, density-based clustering, and FLAME-anchored part transfer, enabling precise editing and cros...
| Authors | Tymoteusz Zapała, Julia Farganus, Dominik Galus et al. |
|---|---|
| Primary category | cs.GR |
| Published | 25 March 2026 |
| Last updated at source | 25 March 2026 |
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