University of York and Alder Hey build a 2D craniofacial profile model from 3dMD’s real-world Headspace dataset, introducing a new pose-normalization method for craniosynostosis outcomes.
MPI-IS trains ClothCap (2017), a method for capturing and retargeting clothing in motion, with 3dMD’s 4D real-world body data.
Imperial College London and Great Ormond Street build LSFM (2017), the largest 3D morphable model, with 3dMD’s real-world 12,000-scan dataset.
Alder Hey’s Liverpool Supra-Regional Craniofacial Surgery Unit uses 3dMD’s real-world Headspace dataset to validate outcomes of two age-based scaphocephaly correction techniques.
Alder Hey Children’s Hospital uses 3dMD’s real-world Headspace dataset, 1,523 subjects, to build a morphable head profile model for scaphocephaly surgical outcomes.
University of York and Alder Hey Children’s Hospital use 3dMD’s real-world Headspace dataset to build the first automatic 3D statistical model of craniofacial form.
MPI-IS trains SMPL (2015) and its DMPL extension, the field’s most widely used body model, with 3dMD’s real-world pose and motion data.
MPI-IS trains Dyna (2015), a model of soft-tissue deformation, with 3dMD’s 4D real-world body data.
MPI-IS builds FAUST (2014), a 3D mesh registration dataset, with 3dMD’s real-world body scan data, presented at CVPR 2014.
University of Florence builds Florence Faces (2012), a 2D/3D face recognition dataset, with 3dMD’s real-world HR facial scans.