CrownGen: Patient-customized Crown Generation via Point Diffusion Model

• URL: http://arxiv.org/abs/2512.21890v2
• Date: Thu, 01 Jan 2026 10:25:50 GMT
• Title: CrownGen: Patient-customized Crown Generation via Point Diffusion Model
• Abstract summary: We present CrownGen, a generative framework that automates patient-customized crown design.<n>CrownGen surpasses state-of-the-art models in geometric fidelity and significantly reduces active design time.<n>By automating complex prosthetic modeling, CrownGen offers a scalable solution to lower costs, shorten turnaround times, and enhance patient access to high-quality dental care.
• Score: 7.982205658204545
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Digital crown design remains a labor-intensive bottleneck in restorative dentistry. We present CrownGen, a generative framework that automates patient-customized crown design using a denoising diffusion model on a novel tooth-level point cloud representation. The system employs two core components: a boundary prediction module to establish spatial priors and a diffusion-based generative module to synthesize high-fidelity morphology for multiple teeth in a single inference pass. We validated CrownGen through a quantitative benchmark on 496 external scans and a clinical study of 26 restoration cases. Results demonstrate that CrownGen surpasses state-of-the-art models in geometric fidelity and significantly reduces active design time. Clinical assessments by trained dentists confirmed that CrownGen-assisted crowns are statistically non-inferior in quality to those produced by expert technicians using manual workflows. By automating complex prosthetic modeling, CrownGen offers a scalable solution to lower costs, shorten turnaround times, and enhance patient access to high-quality dental care.

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