Text2Mesh
Text2Mesh transforms 3D meshes by predicting color and geometric details based on user-defined text prompts. Utilizing a neural style field network, it effectively captures complex semantic relationships and stylistic attributes. Remarkably, it accommodates low-quality meshes without requiring pre-trained models or UV parameterization, delivering versatile and unique stylizations across various 3D forms.
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Top Text2Mesh Features
- Intuitive style editing controls
- Generates diverse 3D styles
- Handles low-quality meshes
- No pre-trained model required
- Arbitrary mesh topology support
- Joint text-image embedding
- Predicts local geometric details
- Semantic loss optimization
- CLIP-based similarity scoring
- View-consistent stylizations
- Disentangled object representation
- Multi-modal stylization capabilities
- Flexible input mesh formats
- Captures global semantics
- Part-aware attribute blending
- 2D augmentations for training
- Geometry-only style component
- Increasing specificity synthesis
- Non-UV parameterization support.
