Bits2Bites: Intra-oral Occlusion Classification

on 2026-03-22

Authors: Lorenzo Borghi, Luca Lumetti, Francesca Cremonini, Federico Rizzo, Costantino Grana, Luca Lombardo, Federico Bolelli.

Bits2Bites is a small dataset and multi-task benchmark for predicting occlusal traits from raw 3D intra-oral scans.

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Lorenzo Borghi

Studente di Ingegneria informatica


Dataset and benchmark for intra-oral occlusion classification.