The Florence 4D Facial Expression Dataset. F Principi, S Berretti, C Ferrari, N Otberdout, M Daoudi, A Del Bimbo
University of Florence builds Florence 4D (2023), a dynamic facial expression dataset, with 3dMD’s real-world 3D face scans.
Training AI, Wearing Tech,
and Imaging Health.

University of Florence builds Florence 4D (2023), a dynamic facial expression dataset, with 3dMD’s real-world 3D face scans.
University of York and MBZUAI researchers use 3dMD’s real-world Headspace dataset to benchmark a new, faster method for registering 3D head scans to a shape template.
MPI-IS trains SUPR (2022), a full-body, hand, head, and foot model, with 3dMD’s real-world 4D scan data, presented at ECCV 2022.
Imperial College London captures real-world MimicMe, a 4,700-subject 4D facial expression database, with 3dMD, presented at ECCV 2022.
Great Ormond Street Hospital, Imperial College London, and Alder Hey use 3dMD data to train a 3D shape-based research model for analyzing craniofacial syndromes.
Meta Reality Labs and Imperial College London build a neural hand deformation model with 3dMD’s real-world 3DH scan data, 2021.
Alder Hey and University of York use 3dMD’s real-world Headspace dataset to model craniofacial growth and sexual dimorphism in children, using geometric morphometrics.
University of York and Alder Hey use 3dMD’s real-world Headspace dataset to model craniofacial aging across adulthood, finding men and women age in distinct, non-linear patterns.
Imperial College London builds Shape My Face (2020), a 3D face registration model, with 3dMD’s real-world training and test data.
This excerpt will show up on the home page Blog/News feed