MimicME: A Large Scale Diverse 4D Database for Facial Expression Analysis. A Papaioannou et al.
Imperial College London captures real-world MimicMe, a 4,700-subject 4D facial expression database, with 3dMD, presented at ECCV 2022.
Graph Convolutional Network with Probabilistic Spatial Regression: Application to Craniofacial Landmark Detection from 3D Photogrammetry. C Elkhill, S LeBeau, B French, AR Porras.
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3D Photography to Quantify the Severity of Metopic Craniosynostosis. MK Bruce, WH Tao, J Beiriger, C Christensen, MJ Pfaff, R Whitaker, JA Goldstein.
Results of this study show that 3dMD photography is a valid alternative to CT for evaluation of head shape in MCS. Its use will provide an objective, quantifiable means of assessing outcomes in a rigorous manner while decreasing radiation exposure in this patient population.
Identity-Disentangled Neural Deformation Model for Dynamic Meshes (3DH). B Xu, L Ma, Y Ye, T Schmidt, CD Twigg, S Lovegrove.
Meta Reality Labs and Imperial College London build a neural hand deformation model with 3dMD’s real-world 3DH scan data, 2021.
Shape My Face: Registering 3D Face Scans by Surface-to-Surface Translation. M Bahri, E O’ Sullivan, S Gong, F Liu, X Liu, MM Bronstein, S Zafeiriou.
Imperial College London builds Shape My Face (2020), a 3D face registration model, with 3dMD’s real-world training and test data.
Synthesizing Coupled 3D Face Modalities by Trunk-Branch Generative Adversarial Networks. B Gecer, A Lattas, S Ploumpis, et al.
Imperial College London trains TBGAN, a joint shape, texture, and normals face GAN, using 3dMD’s MeIn3D and expression datasets.
BLSM: A Bone-Level Skinned Model of the Human Mesh. H Wang, RA Guler, I Kokkinos, G Papandreou, S Zafeiriou.
Imperial College London builds BLSM (2020), a bone-level body mesh model, with 3dMD’s real-world training and evaluation data, presented at ECCV 2020.
Learning to Dress 3D People in Generative Clothing (CAPE). Q Ma, J Yang, A Ranjan, S Pujades, G Pons-Moll, S Tang, MJ Black.
MPI-IS trains its 2020 CAPE generative model for dressing 3D people in clothing with 3dMD’s 4D real-world body data.
Statistical Modeling of Craniofacial Shape and Texture. H Dai, N Pears, W Smith, C Duncan.
University of York and Alder Hey release the definitive Liverpool-York Head Model, built from 3dMD’s real-world Headspace dataset, and use it in the first 3DMM-based clinical study.
Learning Multi-human Optical Flow. A Ranjan, DT Hoffmann, D Tzionas et al.
Date: January 2020. Source: International Journal of Computer Vision 128, 873–890 (2020). https://doi.org/10.1007/s11263-019-01279-w. Abstract: The optical flow of humans is well known to be useful for the analysis of human action. Recent optical flow methods focus on training deep networks to approach the problem. However, the training data used by them does not cover the…