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pro vyhledávání: '"Nagy, Rajmund"'
Autor:
Nagy, Rajmund, Voss, Hendric, Yoon, Youngwoo, Kucherenko, Taras, Nikolov, Teodor, Hoang-Minh, Thanh, McDonnell, Rachel, Kopp, Stefan, Neff, Michael, Henter, Gustav Eje
Current evaluation practices in speech-driven gesture generation lack standardisation and focus on aspects that are easy to measure over aspects that actually matter. This leads to a situation where it is impossible to know what is the state of the a
Externí odkaz:
http://arxiv.org/abs/2410.06327
Autor:
Kucherenko, Taras, Nagy, Rajmund, Yoon, Youngwoo, Woo, Jieyeon, Nikolov, Teodor, Tsakov, Mihail, Henter, Gustav Eje
This paper reports on the GENEA Challenge 2023, in which participating teams built speech-driven gesture-generation systems using the same speech and motion dataset, followed by a joint evaluation. This year's challenge provided data on both sides of
Externí odkaz:
http://arxiv.org/abs/2308.12646
Publikováno v:
ACM Trans. Graph. 42, 4 (August 2023), 20 pages
Diffusion models have experienced a surge of interest as highly expressive yet efficiently trainable probabilistic models. We show that these models are an excellent fit for synthesising human motion that co-occurs with audio, e.g., dancing and co-sp
Externí odkaz:
http://arxiv.org/abs/2211.09707
Embodied conversational agents benefit from being able to accompany their speech with gestures. Although many data-driven approaches to gesture generation have been proposed in recent years, it is still unclear whether such systems can consistently g
Externí odkaz:
http://arxiv.org/abs/2108.05762
Autor:
Kucherenko, Taras, Nagy, Rajmund, Jonell, Patrik, Neff, Michael, Kjellström, Hedvig, Henter, Gustav Eje
Publikováno v:
International Conference on Intelligent Virtual Agents 2021
We propose a new framework for gesture generation, aiming to allow data-driven approaches to produce more semantically rich gestures. Our approach first predicts whether to gesture, followed by a prediction of the gesture properties. Those properties
Externí odkaz:
http://arxiv.org/abs/2106.14736
Autor:
Nagy, Rajmund, Kucherenko, Taras, Moell, Birger, Pereira, André, Kjellström, Hedvig, Bernardet, Ulysses
Embodied conversational agents (ECAs) benefit from non-verbal behavior for natural and efficient interaction with users. Gesticulation - hand and arm movements accompanying speech - is an essential part of non-verbal behavior. Gesture generation mode
Externí odkaz:
http://arxiv.org/abs/2102.12302
Akademický článek
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