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BLSM: A Bone-Level Skinned Model of the Human Mesh

Wang, H; Güler, RA; Kokkinos, I; Papandreou, G; Zafeiriou, S; (2020) BLSM: A Bone-Level Skinned Model of the Human Mesh. In: Computer Vision – ECCV 2020. (pp. pp. 1-17). Springer: Cham, Switzerland. Green open access

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Abstract

We introduce BLSM, a bone-level skinned model of the human body mesh where bone scales are set prior to template synthesis, rather than the common, inverse practice. BLSM first sets bone lengths and joint angles to specify the skeleton, then specifies identity-specific surface variation, and finally bundles them together through linear blend skinning. We design these steps by constraining the joint angles to respect the kinematic constraints of the human body and by using accurate mesh convolution-based networks to capture identity-specific surface variation. We provide quantitative results on the problem of reconstructing a collection of 3D human scans, and show that we obtain improvements in reconstruction accuracy when comparing to a SMPL-type baseline. Our decoupled bone and shape representation also allows for out-of-box integration with standard graphics packages like Unity, facilitating full-body AR effects and image-driven character animation. Additional results and demos are available from the project webpage: http://arielai.com/blsm .

Type: Proceedings paper
Title: BLSM: A Bone-Level Skinned Model of the Human Mesh
Event: Computer Vision – ECCV 2020 16th European Conference
ISBN-13: 978-3-030-58557-0
Open access status: An open access version is available from UCL Discovery
DOI: 10.1007/978-3-030-58558-7_1
Publisher version: https://doi.org/10.1007/978-3-030-58558-7_1
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: 3D human body modelling, Graph convolutional networks
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10119370
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