3D Portrait Stylization

3D portrait stylization aims to automatically transform 3D models of faces into various artistic styles, addressing the limitations of existing 2D methods for applications like virtual reality and gaming. Current research focuses on leveraging 3D-aware Generative Adversarial Networks (GANs) and hypernetworks to achieve style transfer from limited data, often using 2D style exemplars to guide the 3D stylization process. These techniques improve the efficiency and quality of 3D portrait generation, enabling more realistic and diverse artistic representations. The resulting advancements have significant implications for digital art creation, virtual environments, and personalized avatar design.