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- KISA (Student Member) Shogo
- Toyohashi University of Technology
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- KURIYAMA Shigeru
- Toyohashi University of Technology
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- MUKAI Tomohiko
- Tokyo Metropolitan University
Bibliographic Information
- Other Title
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- 深層学習に基づく人物モーションの生成と編集
- シンソウ ガクシュウ ニ モトズク ジンブツ モーション ノ セイセイ ト ヘンシュウ
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Abstract
<p>This paper proposed a motion synthesis and edit for character animations via latent variable space. An existing method using an auto-encoder is unsuited for efficient explorations and manipulations because the latent space has a large number of dimensions. Moreover, its encoder and decoder are composed of a single-layer, which is not suited to synthesize various types or styles of motions. We propose two types of generative neural networks that can map the latent variables so as to fit to a Gaussian distribution and can embed various motions in a lower dimensional latent space. We evaluate the plausibility of motions synthesized with our method, by demonstrating motion transitions and interpolations without preprocessing of time-alignment.</p>
Journal
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- The Journal of the Institute of Image Electronics Engineers of Japan
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The Journal of the Institute of Image Electronics Engineers of Japan 47 (4), 440-446, 2018
The Institute of Image Electronics Engineers of Japan
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Keywords
Details 詳細情報について
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- CRID
- 1391693801398331776
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- NII Article ID
- 130007947564
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- NII Book ID
- AA12563298
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- ISSN
- 2186716X
- 13480316
- 02859831
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- NDL BIB ID
- 029567718
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- CiNii Articles
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- Abstract License Flag
- Disallowed