StyleMorpheus: A Style-Based 3D-Aware Morphable Face Model

• URL: http://arxiv.org/abs/2503.11792v1
• Date: Fri, 14 Mar 2025 18:32:02 GMT
• Title: StyleMorpheus: A Style-Based 3D-Aware Morphable Face Model
• Authors: Peizhi Yan, Rabab K. Ward, Dan Wang, Qiang Tang, Shan Du,
• Abstract summary: "StyleMorpheus" is the first style-based neural 3D Morphable Face Model that is trained on in-the-wild images.<n>We fine-tune the decoder through style-based generative adversarial learning to achieve photorealistic 3D rendering quality.<n>Our model achieves real-time rendering speed, allowing its use in virtual reality applications.
• Score: 11.19751552728812
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: For 3D face modeling, the recently developed 3D-aware neural rendering methods are able to render photorealistic face images with arbitrary viewing directions. The training of the parametric controllable 3D-aware face models, however, still relies on a large-scale dataset that is lab-collected. To address this issue, this paper introduces "StyleMorpheus", the first style-based neural 3D Morphable Face Model (3DMM) that is trained on in-the-wild images. It inherits 3DMM's disentangled controllability (over face identity, expression, and appearance) but without the need for accurately reconstructed explicit 3D shapes. StyleMorpheus employs an auto-encoder structure. The encoder aims at learning a representative disentangled parametric code space and the decoder improves the disentanglement using shape and appearance-related style codes in the different sub-modules of the network. Furthermore, we fine-tune the decoder through style-based generative adversarial learning to achieve photorealistic 3D rendering quality. The proposed style-based design enables StyleMorpheus to achieve state-of-the-art 3D-aware face reconstruction results, while also allowing disentangled control of the reconstructed face. Our model achieves real-time rendering speed, allowing its use in virtual reality applications. We also demonstrate the capability of the proposed style-based design in face editing applications such as style mixing and color editing. Project homepage: https://github.com/ubc-3d-vision-lab/StyleMorpheus.

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