StyleMe3D Framework Enables Artistic Stylization of 3D Gaussian Splatting

Stylization of 3D Scenes: StyleMe3D Enables Artistic Design with 3D Gaussian Splatting

Photorealistic reconstruction of scenes using 3D Gaussian Splatting (3DGS) has made great strides in recent years. However, applying this technology to stylized scenes, such as those found in games or animated films, remains a challenge. Problems like fragmented textures, semantic mismatches, and the limited adaptability to abstract aesthetics complicate stylized rendering. A new framework called StyleMe3D now promises to overcome these hurdles and unlock 3DGS for artistic applications.

StyleMe3D: A Holistic Approach to Stylization

StyleMe3D takes a comprehensive approach to style transfer in 3DGS. The framework integrates several innovative components to achieve scalable, semantically coherent, and perceptually optimized stylization. Core to this approach is the separation of different semantic layers using multiple specialized encoders. These encoders focus on different aspects of the scene, including the style, the visual quality, and the semantic meaning of individual elements.

The Core Components of StyleMe3D

Four novel components form the heart of StyleMe3D:

1. Dynamic Style Score Distillation (DSSD): This component leverages the latent space of Stable Diffusion to ensure semantic alignment between the desired style and the 3D scene. This enables consistent style transfer.

2. Contrastive Style Descriptor (CSD): CSD allows for localized, content-dependent texture transfer. This allows style features to be precisely applied to specific areas of the scene, resulting in more realistic and coherent stylization.

3. Simultaneously Optimized Scale (SOS): This component decouples style details from the structural coherence of the scene. This allows fine style features to be added without compromising the geometric integrity of the 3D scene.

4. 3D Gaussian Quality Assessment (3DG-QA): 3DG-QA is a differentiable aesthetic prior trained on human-rated data. This component serves to suppress artifacts and improve the visual harmony of the stylized scene.

Evaluation and Application Possibilities

StyleMe3D was evaluated using the synthetic NeRF dataset (objects) and the tandt db dataset (scenes). The results show that StyleMe3D, compared to existing methods, better preserves geometric details and ensures higher stylistic consistency across the entire scene. At the same time, StyleMe3D enables real-time rendering, making it particularly attractive for use in interactive applications.

The application possibilities of StyleMe3D are diverse and range from games and virtual worlds to digital art. By combining photorealistic 3DGS with artistic stylization, StyleMe3D opens up new possibilities for creative design and innovative applications in various fields.

Bibliography: - https://chatpaper.com/chatpaper/?id=4&date=1745251200&page=1 - https://www.xueshuxiangzi.com/redirect?page=cs.CV&pno=0 - arxiv:2504.15281 - StyleMe3D: Stylization with Disentangled Priors by Multiple Encoders on 3D Gaussians, Hugging Face Papers