Trellis Image-to-3D
Trellis is Microsoft Research's structured 3D latent diffusion model that converts a single input image into a detailed 3D asset. Unlike earlier point-cloud or NeRF-based methods, Trellis operates in a structured latent space that captures both geometry and appearance, allowing it to produce 3D meshes with high geometric fidelity and coherent texture from a single photograph or rendering.
The model outputs assets in standard mesh formats suitable for immediate use in 3D engines, AR/VR pipelines, and creative tools. It is well suited for rapid asset prototyping, game content generation, and digital twin creation from real-world product photos.
Key Features
Single-image to fully textured 3D mesh generation
Structured 3D latent diffusion for high geometric fidelity
Outputs standard mesh formats compatible with 3D engines
Captures both shape and surface appearance from one image
Developed and validated by Microsoft Research
Fast inference compared to multi-view or NeRF-based approaches
Ideal Use Cases
Game asset creation from concept art or product photos
E-commerce 3D product visualization from a single flat image
AR/VR object placement using real-world photographed items
Rapid 3D prototyping for product design workflows
Digital twin generation from industrial or consumer object photos
Example Prompts for Trellis Image-to-3D
Technical Specifications
| Provider | Trellis |
| Category | 3D |
| Modality | Text/Image -> 3D |
Frequently Asked Questions
Try Trellis Image-to-3D now
Start using Trellis Image-to-3D instantly — 100 free credits, no credit card required. Access 750+ AI models through one platform.