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InstructMesh lets users refine AI-generated 3D models before fabrication

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Conceptual illustration of selecting a damaged area of a 3D shape and repairing its contour
AI-generated editorial illustration by Guth Labs. It represents selective repair of a 3D shape; it is not an InstructMesh screenshot or evidence of the study results.

The tool combines a 3D generator and a language model to help users identify and repair design flaws.

MIT researchers working with Google and Northeastern University described InstructMesh on October 1, 2026, as a tool for refining AI-generated 3D designs before fabrication. Users can highlight a region for refinement before 3D printing, then use language or sliders to make targeted changes. InstructMesh combines Microsoft’s TRELLIS, which generates 3D models from text and image prompts, with GPT-4. MIT says nearly 80 percent of the models generated from popular Thingiverse designs had structural flaws, while novices identified and corrected issues around 90 percent of the time under expert review. The team first used TRELLIS to recreate popular Thingiverse models, then asked novices to identify and fix the flaws. MIT presents physics simulation and material selection as possible future additions, not current capabilities.

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  1. New tool lets users repair AI-generated 3D models, then fabricate them just the way they want

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