Learning Beyond Human Expertise with Generative Models for Dental Restorations


Computer vision has advanced significantly that many discriminative approaches such as object recognition are now widely used in real applications. The authors present another exciting development that utilizes generative models for the mass customization of medical products such as dental crowns. The proposed systems learns not only from human designs of dental crowns, but also from natural spatial profiles between opposing teeth. 


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