Zhang, Meng;
Ceylan, Duygu;
Mitra, Niloy J;
(2022)
Motion Guided Deep Dynamic 3D Garments.
ACM Transactions on Graphics
, 41
(6)
, Article 219. 10.1145/3550454.3555485.
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Abstract
Realistic dynamic garments on animated characters have many AR/VR applications. While authoring such dynamic garment geometry is still a challenging task, data-driven simulation provides an attractive alternative, especially if it can be controlled simply using the motion of the underlying character. In this work, we focus on motion guided dynamic 3D garments, especially for loose garments. In a data-driven setup, we first learn a generative space of plausible garment geometries. Then, we learn a mapping to this space to capture the motion dependent dynamic deformations, conditioned on the previous state of the garment as well as its relative position with respect to the underlying body. Technically, we model garment dynamics, driven using the input character motion, by predicting per-frame local displacements in a canonical state of the garment that is enriched with frame-dependent skinning weights to bring the garment to the global space. We resolve any remaining per-frame collisions by predicting residual local displacements. The resultant garment geometry is used as history to enable iterative roll-out prediction. We demonstrate plausible generalization to unseen body shapes and motion inputs, and show improvements over multiple state-of-the-art alternatives. Code and data is released in https://geometry.cs.ucl.ac.uk/projects/2022/MotionDeepGarment/
| Type: | Article |
|---|---|
| Title: | Motion Guided Deep Dynamic 3D Garments |
| Location: | Daegu, SOUTH KOREA |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1145/3550454.3555485 |
| Publisher version: | http://dx.doi.org/10.1145/3550454.3555485 |
| 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: | collision handling, Computer Science, Computer Science, Software Engineering, garment dynamics, generalization, motion driven animation, Science & Technology, Technology |
| 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/10190378 |
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