Deep Learning-based 3D Oral Cavity Reconstruction Using 2D Intraoral Images

Jihun Cho, Soo-Yeon Jeong, Eun-Jeong Bae, Sun-Young Ihm

Jun 5, 2026 at 04:00

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arXiv:2606.05998v1 Announce Type: cross Abstract: Oral 3D modelling is one of the most essential stages in dentistry, and many different approaches, such as impression taking and intraoral scanning, are commonly used for this phase, each with notable limitations. Impression taking, which involves placing alginate or silicone material in a tray...

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Deep Learning-based 3D Oral Cavity Reconstruction Using 2D Intraoral Images

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