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Category Archives: 4D 3dMDhand System

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  2. Category "4D 3dMDhand System"

PALM: A Dataset and Baseline for Learning Multi-subject Hand Prior. Z Fan, E Remelli, D Dimond, F Sener, L Ge, B Tekin, C Keskin, S Hampali.

3dMD Customer Research, Computer Science | Computer Vision, Normative Study, 3dMDhand, Computer Science, 4D 3dMDhand System, Computer VisionBy Kelly DuncanNovember 14, 2025

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.

Handy: Towards a high fidelity 3D hand shape and appearance model. R Potamias, S Ploumpis, S Moschoglou, V Triantafyllou and S Zafeiriou.

3dMD Customer Research, Computer Science | Computer Vision, 3dMDhand, Computer Science, 4D 3dMDhand System, Computer VisionBy Kelly DuncanJune 11, 2023

How 3dMD’s 4D real-world hand data enabled Handy, Imperial College London’s 2023 model of hand shape and appearance.

Multilevel Functional Principal Components Analysis Presents a Viable Method of Modelling Dynamical Shape Changes. DJJ Farnell, P Claes.

3dMD Customer Research, Dental, 3dMDface, Computer Science, Morphometrics, 4D 3dMDhand SystemBy Kelly DuncanFebruary 28, 2023

This excerpt will show up on the home page Blog/News feed

Identity-Disentangled Neural Deformation Model for Dynamic Meshes (3DH). B Xu, L Ma, Y Ye, T Schmidt, CD Twigg, S Lovegrove.

3dMD Customer Research, Computer Science | Computer Vision, 3dMDhand, Computer Science, Temporal-3D Systems (4D), 4D 3dMDhand System, Computer VisionBy Kelly DuncanOctober 31, 2021

Meta Reality Labs and Imperial College London build a neural hand deformation model with 3dMD’s real-world 3DH scan data, 2021.

Expressive Body Capture: 3D Hands, Face, and Body from a Single Image. G Pavlakos, V Choutas, N Ghorbani, T Bolkart, AA Osman, D Tzionas, MJ Black.

3dMD Customer Research, Computer Science | Computer Vision, 3dMDhand, 3dMDbody, Computer Science, 3dMDbody System, Temporal-3D Systems (4D), 4D 3dMDhand System, 4D 3dMDbody System, Computer VisionBy Kelly DuncanJune 16, 2019

How SMPL-X combines MANO and FLAME, both trained in part on 3dMD data, into one unified expressive body model from MPI-IS.

AMASS: Archive of Motion Capture as Surface Shapes. N Mahmood , N Ghorbani, NF Troje, G Pons-Moll, MJ Black.

3dMD Customer Research, Computer Science | Computer Vision, Normative Study, 3dMDhand, 3dMDbody, Computer Science, Temporal-3D Systems (4D), 4D 3dMDhand System, 4D 3dMDbody System, Computer VisionBy Kelly DuncanApril 5, 2019

MPI-IS builds AMASS (2019), the largest unified mocap archive, with 3dMD’s real-world 4D scan data.

Embodied Hands (MANO): Modeling and Capturing Hands and Bodies Together. J Romero, D Tzionas, MJ Black.

3dMD Customer Research, Computer Science | Computer Vision, 3dMDhand, Computer Science, Temporal-3D Systems (4D), 4D 3dMDhand System, Computer VisionBy Kelly DuncanNovember 30, 2017

MPI-IS build MANO and SMPL+H (2017), articulated hand and body models, with 3dMD’s real-world hand and body data.

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