Zobrazeno 1 - 10
of 142
pro vyhledávání: '"Li Tianye"'
Autor:
Cheng, Wencong, Xia, Jiangjiang, Qu, Chang, Wang, Zhigang, Zeng, Xinyi, Huang, Fang, Li, Tianye
To promote the practical application of AI Global Weather Forecasting Models (AIGWFM), we have developed an adaptable application platform named 'YanTian'. This platform enhances existing open-source AIGWFM with a suite of capability-enhancing module
Externí odkaz:
http://arxiv.org/abs/2410.04539
Existing methods for capturing datasets of 3D heads in dense semantic correspondence are slow, and commonly address the problem in two separate steps; multi-view stereo (MVS) reconstruction followed by non-rigid registration. To simplify this process
Externí odkaz:
http://arxiv.org/abs/2306.07437
Autor:
Li, Tianye1,2 (AUTHOR), Li, Shuiquan3 (AUTHOR), Kang, Yue4 (AUTHOR), Zhou, Jianwei1,2 (AUTHOR) jianwei-zhou@zju.edu.cn, Yi, Ming5 (AUTHOR) 1322068@zju.edu.cn
Publikováno v:
Journal of Translational Medicine. 8/8/2024, Vol. 22 Issue 1, p1-29. 29p.
High-fidelity face digitization solutions often combine multi-view stereo (MVS) techniques for 3D reconstruction and a non-rigid registration step to establish dense correspondence across identities and expressions. A common problem is the need for m
Externí odkaz:
http://arxiv.org/abs/2110.02948
Publikováno v:
In Journal of Materials Research and Technology March-April 2024 29:3566-3574
Autor:
Li, Tianye, Slavcheva, Mira, Zollhoefer, Michael, Green, Simon, Lassner, Christoph, Kim, Changil, Schmidt, Tanner, Lovegrove, Steven, Goesele, Michael, Newcombe, Richard, Lv, Zhaoyang
We propose a novel approach for 3D video synthesis that is able to represent multi-view video recordings of a dynamic real-world scene in a compact, yet expressive representation that enables high-quality view synthesis and motion interpolation. Our
Externí odkaz:
http://arxiv.org/abs/2103.02597
Autor:
Li, Tianye1,2 (AUTHOR), Niu, Mengke3 (AUTHOR), Zhou, Jianwei1,2 (AUTHOR), Wu, Kongming3 (AUTHOR) kmwu@tjh.tjmu.edu.cn, Yi, Ming4 (AUTHOR) mingyi_onco@outlook.com
Publikováno v:
Cell Communication & Signaling. 3/12/2024, Vol. 22 Issue 1, p1-18. 18p.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Zhao, Yajie, Huang, Zeng, Li, Tianye, Chen, Weikai, LeGendre, Chloe, Ren, Xinglei, Xing, Jun, Shapiro, Ari, Li, Hao
Near-range portrait photographs often contain perspective distortion artifacts that bias human perception and challenge both facial recognition and reconstruction techniques. We present the first deep learning based approach to remove such artifacts
Externí odkaz:
http://arxiv.org/abs/1905.07515
Rendering bridges the gap between 2D vision and 3D scenes by simulating the physical process of image formation. By inverting such renderer, one can think of a learning approach to infer 3D information from 2D images. However, standard graphics rende
Externí odkaz:
http://arxiv.org/abs/1904.01786