Harvard and Erasmus MC researchers used 3dMDface system and an AI-based 3D autoencoder to identify a facial trait linked to attention problems and associated prenatal exposures in the Generation R Study cohort.
The model outperformed existing methods in patients with craniosynostosis and normative subjects. And the predictions generated by our model could be used to improve the accuracy of surgical planning.
It contains 90k 3dMD system-captured RGB images and 13k 3dMDhand scans from 263 subjects (131 male, 132 female) with diverse skin tones and hand shapes.
Imperial College London trains its 2025 ImHead model for localized 3D head editing with 3dMD’s 4D real-world face data.
MPI-IS builds VAREN (2024), a 3D horse shape and pose model, with 3dMD’s real-world dynamic scan data.
Jena University Hospital researchers used the 3dMD face system to objectively track dynamic 4D volume changes in synkinetic facial palsy patients before and after biofeedback therapy.
Imperial College London builds Design2Cloth (2024), a 3D garment generation model, with 3dMD’s real-world 2,010-subject dataset.
University of Florence builds Florence 3DMRE (2023), a cross-resolution facial dataset, with 3dMD’s real-world high-resolution face scans.
How 3dMD’s 4D real-world hand data enabled Handy, Imperial College London’s 2023 model of hand shape and appearance.
University of Florence builds Florence 4D (2023), a dynamic facial expression dataset, with 3dMD’s real-world 3D face scans.