Mint introduces an AI-powered web service that automatically extracts individual furniture and decor from a single image and converts them into textured 3D models.
Mint (mint.gg) has launched an AI-driven web service that automatically segments and extracts individual objects from a single image—such as a photo of a room—and generates them as distinct 3D models. In addition to single-image extraction, the platform supports generating 3D Gaussian Splats from Google Street View URLs or standard images for interactive browser-based environments. To streamline workflows, Mint provides a dedicated Blender integration (mint-blender-addon) to directly import generated assets into 3D scenes. The service offers a 7-day free trial (requires credit card) with monthly plans starting at $20/month.
Automated image-to-3D segmentation represents a major step forward for rapid prototyping in interior design and game development, though mesh quality will require user review.
* **Accelerated Layouts:** Drastically cuts down the time required to build mockups or reference scenes by automating object detection and 3D generation.
* **Native Blender Bridge:** The dedicated addon removes file-transfer friction, allowing creators to keep their focus inside the DCC app.
* **Splatting vs. Meshing:** Offers both spatial 3D Gaussian Splats and downloadable GLB models, giving users options based on their performance and rendering needs.
* **Hobbyist Barrier:** Requiring credit card registration for the 7-day free trial and starting at $20/month could deter casual creators.
DISCOVERED
1h ago
2026-06-13
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2h ago
2026-06-13
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tamrrat