Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Habekost, Julian"'
Autor:
Pang, Kunkun, Qin, Dafei, Fan, Yingruo, Habekost, Julian, Shiratori, Takaaki, Yamagishi, Junichi, Komura, Taku
Automatic gesture synthesis from speech is a topic that has attracted researchers for applications in remote communication, video games and Metaverse. Learning the mapping between speech and 3D full-body gestures is difficult due to the stochastic na
Externí odkaz:
http://arxiv.org/abs/2310.06851
Publikováno v:
Habekost, J, Pang, K, Shiratori, T & Komura, T 2022, From Synthetic to One-Shot Regression of Camera-Agnostic Human Performances . in M El Yacoubi, E Granger, P C Yuen, U Pal & N Vincent (eds), Pattern Recognition and Artificial Intelligence : Third International Conference, ICPRAI 2022, Paris, France, June 1–3, 2022, Proceedings, Part I . Lecture Notes in Computer Science, vol. 13363, Cham, pp. 514-525, 3rd International Conference on Pattern Recognition and Artificial Intelligence 2022, Paris, France, 1/06/22 . https://doi.org/10.1007/978-3-031-09037-0_42
Capturing accurate 3D human performances in global space from a static monocular video is an ill-posed problem. It requires solving various depth ambiguities and information about the camera's intrinsics and extrinsics. Therefore, most methods either
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3094::8b9d72d1eb519955d1e6d3fc52c2223e
https://www.pure.ed.ac.uk/ws/files/282518503/From_Synthetic_HABEKOST_DOA13032022_AFV.pdf
https://www.pure.ed.ac.uk/ws/files/282518503/From_Synthetic_HABEKOST_DOA13032022_AFV.pdf