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Conditional motion in-betweening
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Jihoon | - |
dc.contributor.author | Byun, Taehyun | - |
dc.contributor.author | Shin, Seungyoun | - |
dc.contributor.author | Won, Jungdam | - |
dc.contributor.author | Choi, Sungjoon | - |
dc.date.accessioned | 2024-05-08T05:35:11Z | - |
dc.date.available | 2024-05-08T05:35:11Z | - |
dc.date.created | 2024-05-08 | - |
dc.date.issued | 2022-12 | - |
dc.identifier.citation | Pattern Recognition, Vol.132, p. 108894 | - |
dc.identifier.issn | 0031-3203 | - |
dc.identifier.uri | https://hdl.handle.net/10371/201170 | - |
dc.description.abstract | Motion in-betweening (MIB) is a process of generating intermediate skeletal movement between the given start and target poses while preserving the naturalness of the motion, such as periodic footstep motion while walking. Although state-of-the-art MIB methods are capable of producing plausible mo-tions given sparse key-poses, they often lack the controllability to generate motions satisfying the se-mantic contexts required in practical applications. We focus on the method that can handle pose or se-mantic conditioned MIB tasks using a unified model. We also present a motion augmentation method to improve the quality of pose-conditioned motion generation via defining a distribution over smooth tra-jectories. Our proposed method outperforms the existing state-of-the-art MIB method in pose prediction errors while providing additional controllability. Our code and results are available on our project web page: https://jihoonerd.github.io/Conditional- Motion- In- Betweening . (c) 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license ( http://creativecommons.org/licenses/by/4.0/ ) | - |
dc.language | 영어 | - |
dc.publisher | Pergamon Press | - |
dc.title | Conditional motion in-betweening | - |
dc.type | Article | - |
dc.identifier.doi | 10.1016/j.patcog.2022.108894 | - |
dc.citation.journaltitle | Pattern Recognition | - |
dc.identifier.wosid | 000860987400001 | - |
dc.identifier.scopusid | 2-s2.0-85135127836 | - |
dc.citation.startpage | 108894 | - |
dc.citation.volume | 132 | - |
dc.description.isOpenAccess | Y | - |
dc.contributor.affiliatedAuthor | Won, Jungdam | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.subject.keywordAuthor | Motion in-betweening | - |
dc.subject.keywordAuthor | Conditional motion generation | - |
dc.subject.keywordAuthor | Generative model | - |
dc.subject.keywordAuthor | Motion data augmentation | - |
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