From Synthetic Data to Real Restorations: Diffusion Model for Patient-specific Dental Crown Completion
We present ToothCraft, a diffusion-based model for the contextual generation of tooth crowns, trained on artificially created incomplete teeth. Building upon recent advancements in conditioned diffusion models for 3D shapes, we developed a model capable of an automated tooth crown completion conditioned on local anatomical context. To address the lack of training data for this task, we designed an augmentation pipeline that generates incomplete tooth geometries from a publicly available dataset of complete dental arches (3DS, ODD). By synthesising a diverse set of training examples, our approach enables robust learning across a wide spectrum of tooth defects. Experimental results demonstr...
| Authors | Dávid Pukanec, Tibor Kubík, Michal Španěl |
|---|---|
| Primary category | cs.CV |
| Published | 27 March 2026 |
| Last updated at source | 8 April 2026 |
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