Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Habibie, Ikhsanul"'
Autor:
Mughal, Muhammad Hamza, Dabral, Rishabh, Habibie, Ikhsanul, Donatelli, Lucia, Habermann, Marc, Theobalt, Christian
Gestures play a key role in human communication. Recent methods for co-speech gesture generation, while managing to generate beat-aligned motions, struggle generating gestures that are semantically aligned with the utterance. Compared to beat gesture
Externí odkaz:
http://arxiv.org/abs/2403.17936
Autor:
Thambiraja, Balamurugan, Habibie, Ikhsanul, Aliakbarian, Sadegh, Cosker, Darren, Theobalt, Christian, Thies, Justus
Speech-driven 3D facial animation has been widely explored, with applications in gaming, character animation, virtual reality, and telepresence systems. State-of-the-art methods deform the face topology of the target actor to sync the input audio wit
Externí odkaz:
http://arxiv.org/abs/2301.00023
Autor:
Habibie, Ikhsanul, Xu, Weipeng, Mehta, Dushyant, Liu, Lingjie, Seidel, Hans-Peter, Pons-Moll, Gerard, Elgharib, Mohamed, Theobalt, Christian
We propose the first approach to automatically and jointly synthesize both the synchronous 3D conversational body and hand gestures, as well as 3D face and head animations, of a virtual character from speech input. Our algorithm uses a CNN architectu
Externí odkaz:
http://arxiv.org/abs/2102.06837
Autor:
Zhou, Yuxiao, Habermann, Marc, Habibie, Ikhsanul, Tewari, Ayush, Theobalt, Christian, Xu, Feng
We present the first method for real-time full body capture that estimates shape and motion of body and hands together with a dynamic 3D face model from a single color image. Our approach uses a new neural network architecture that exploits correlati
Externí odkaz:
http://arxiv.org/abs/2012.06087
We present a novel method for monocular hand shape and pose estimation at unprecedented runtime performance of 100fps and at state-of-the-art accuracy. This is enabled by a new learning based architecture designed such that it can make use of all the
Externí odkaz:
http://arxiv.org/abs/2003.09572
Convolutional Neural Network based approaches for monocular 3D human pose estimation usually require a large amount of training images with 3D pose annotations. While it is feasible to provide 2D joint annotations for large corpora of in-the-wild ima
Externí odkaz:
http://arxiv.org/abs/1904.03289
Autor:
Thambiraja, Balamurugan, Habibie, Ikhsanul, Aliakbarian, Sadegh, Cosker, Darren, Theobalt, Christian, Thies, Justus
Speech-driven 3D facial animation has been widely explored, with applications in gaming, character animation, virtual reality, and telepresence systems. State-of-the-art methods deform the face topology of the target actor to sync the input audio wit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c891599e1fe187d50bec999764b4680d
Autor:
Habibie, Ikhsanul, Elgharib, Mohamed, Sarkar, Kripasindhu, Abdullah, Ahsan, Nyatsanga, Simbarashe, Neff, Michael, Theobalt, Christian
Publikováno v:
Proceedings SIGGRAPH 2022 Conference Papers Proceedings
Special Interest Group on Computer Graphics and Interactive Techniques Conference Proceedings
Special Interest Group on Computer Graphics and Interactive Techniques Conference Proceedings
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9da7c7caf83b22a5d858c98188dccab0
https://hdl.handle.net/21.11116/0000-000B-7B9F-921.11116/0000-000B-7BA1-5
https://hdl.handle.net/21.11116/0000-000B-7B9F-921.11116/0000-000B-7BA1-5
Akademický článek
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