Art
J-GLOBAL ID:201902223646924494
Reference number:19A2815901
MotionGAN:関節パラメータの敵対的学習による動作スタイル生成
Author (3):
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Material:
Volume:
2019
Issue:
DCC-23
Page:
Vol.2019-DCC-23,No.23,1-9 (WEB ONLY)
Publication year:
Oct. 31, 2019
JST Material Number:
U0451A
Document type:
Proceedings
Article type:
原著論文
Country of issue:
Japan (JPN)
Language:
JAPANESE (JA)
Thesaurus term:
Thesaurus term/Semi thesaurus term
Keywords indexed to the article.
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Semi thesaurus term:
Thesaurus term/Semi thesaurus term
Keywords indexed to the article.
All keywords is available on JDreamIII(charged).
On J-GLOBAL, this item will be available after more than half a year after the record posted. In addtion, medical articles require to login to MyJ-GLOBAL.
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JST classification (3):
JST classification
Category name(code) classified by JST.
Graphic and image processing in general
, Pattern recognition
, Artificial intelligence
Reference (17):
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Matthew Brand and Aaron Hertzmann. Style machines. In Proceedings of the 27th annual conference on Computer graphics and interactive techniques, pp. 183-192. ACM Press/Addison-Wesley Publishing Co., 2000.
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Vincent Dumoulin, Jonathon Shlens, and Manjunath Kudlur. A learned representation for artistic style. arXiv preprint arXiv:1610.07629, 2016.
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Leon A Gatys, Alexander S Ecker, and Matthias Bethge. Image style transfer using convolutional neural networks. In Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 2414-2423, 2016.
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Partha Ghosh, Jie Song, Emre Aksan, and Otmar Hilliges. Learning human motion models for long-term predictions. In 2017 International Conference on 3D Vision (3DV), pp. 458-466. IEEE, 2017.
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Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio. Generative adversarial nets. In Advances in neural information processing systems, pp.2672-2680, 2014.
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Terms in the title (4):
Terms in the title
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