Portrait Stylization

Portrait stylization aims to transform photographic portraits into artistic representations, preserving key facial features while applying a desired style. Recent research heavily utilizes diffusion models, often incorporating techniques like attention mechanisms and feature fusion to achieve high-fidelity results with control over style and even 3D aspects. Focus areas include improving efficiency (e.g., faster sampling, few-shot learning), handling diverse skin tones and avoiding harmful content, and extending stylization to video and 3D models for applications in virtual and augmented reality. These advancements are impacting fields like digital art, film production, and virtual avatars by enabling realistic and stylized content generation.