CVApr 21, 2025

StyleMe3D: Stylization with Disentangled Priors by Multiple Encoders on 3D Gaussians

arXiv:2504.15281v110 citationsh-index: 10
Originality Highly original
AI Analysis

This work addresses the challenge of applying artistic styles to 3D scenes for applications in gaming, virtual worlds, and digital art, representing an incremental advancement in 3D stylization methods.

The paper tackles the problem of stylizing 3D Gaussian Splatting scenes, which often suffer from fragmented textures and semantic misalignment, by proposing StyleMe3D, a framework that integrates multi-modal style conditioning and semantic alignment, resulting in improved preservation of geometric details and stylistic consistency while maintaining real-time rendering.

3D Gaussian Splatting (3DGS) excels in photorealistic scene reconstruction but struggles with stylized scenarios (e.g., cartoons, games) due to fragmented textures, semantic misalignment, and limited adaptability to abstract aesthetics. We propose StyleMe3D, a holistic framework for 3D GS style transfer that integrates multi-modal style conditioning, multi-level semantic alignment, and perceptual quality enhancement. Our key insights include: (1) optimizing only RGB attributes preserves geometric integrity during stylization; (2) disentangling low-, medium-, and high-level semantics is critical for coherent style transfer; (3) scalability across isolated objects and complex scenes is essential for practical deployment. StyleMe3D introduces four novel components: Dynamic Style Score Distillation (DSSD), leveraging Stable Diffusion's latent space for semantic alignment; Contrastive Style Descriptor (CSD) for localized, content-aware texture transfer; Simultaneously Optimized Scale (SOS) to decouple style details and structural coherence; and 3D Gaussian Quality Assessment (3DG-QA), a differentiable aesthetic prior trained on human-rated data to suppress artifacts and enhance visual harmony. Evaluated on NeRF synthetic dataset (objects) and tandt db (scenes) datasets, StyleMe3D outperforms state-of-the-art methods in preserving geometric details (e.g., carvings on sculptures) and ensuring stylistic consistency across scenes (e.g., coherent lighting in landscapes), while maintaining real-time rendering. This work bridges photorealistic 3D GS and artistic stylization, unlocking applications in gaming, virtual worlds, and digital art.

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