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pro vyhledávání: '"Motion model"'
Autor:
Han, Haonan, Wu, Xiangzuo, Liao, Huan, Xu, Zunnan, Hu, Zhongyuan, Li, Ronghui, Zhang, Yachao, Li, Xiu
Recently, text-to-motion models have opened new possibilities for creating realistic human motion with greater efficiency and flexibility. However, aligning motion generation with event-level textual descriptions presents unique challenges due to the
Externí odkaz:
http://arxiv.org/abs/2411.18654
We present a novel approach to reconstruction of 3D cardiac motion from sparse intraoperative data. While existing methods can accurately reconstruct 3D organ geometries from full 3D volumetric imaging, they cannot be used during surgical interventio
Externí odkaz:
http://arxiv.org/abs/2412.02589
Autor:
Pohl, Michel, Uesaka, Mitsuru, Takahashi, Hiroyuki, Demachi, Kazuyuki, Chhatkuli, Ritu Bhusal
Lung radiotherapy treatment systems are subject to a latency that leads to uncertainty in the estimated tumor location and high irradiation of healthy tissue. This work addresses future frame prediction in chest dynamic MRI sequences to compensate fo
Externí odkaz:
http://arxiv.org/abs/2410.05882
Text-conditioned human motion generation, which allows for user interaction through natural language, has become increasingly popular. Existing methods typically generate short, isolated motions based on a single input sentence. However, human motion
Externí odkaz:
http://arxiv.org/abs/2410.05260
Autor:
Cai, Fan1,2 (AUTHOR) caifan202208@163.com, Chen, Dongdong1 (AUTHOR) 3090104956@zju.edu.cn, Jiang, Yuesong1,3 (AUTHOR) ztb2018@xmu.edu.cn, Zhu, Tongbo1,2 (AUTHOR)
Publikováno v:
Energies (19961073). Dec2024, Vol. 17 Issue 23, p5848. 20p.
Autor:
Tripathi, Shashank, Taheri, Omid, Lassner, Christoph, Black, Michael J., Holden, Daniel, Stoll, Carsten
Generating realistic human motion is essential for many computer vision and graphics applications. The wide variety of human body shapes and sizes greatly impacts how people move. However, most existing motion models ignore these differences, relying
Externí odkaz:
http://arxiv.org/abs/2409.03944
Inter prediction is a key technology to reduce the temporal redundancy in video coding. In natural videos, there are usually multiple moving objects with variable velocity, resulting in complex motion fields that are difficult to represent compactly.
Externí odkaz:
http://arxiv.org/abs/2407.11541
Autor:
Zhang, Mingyuan, Jin, Daisheng, Gu, Chenyang, Hong, Fangzhou, Cai, Zhongang, Huang, Jingfang, Zhang, Chongzhi, Guo, Xinying, Yang, Lei, He, Ying, Liu, Ziwei
Human motion generation, a cornerstone technique in animation and video production, has widespread applications in various tasks like text-to-motion and music-to-dance. Previous works focus on developing specialist models tailored for each task witho
Externí odkaz:
http://arxiv.org/abs/2404.01284
Detecting and segmenting moving objects from a moving monocular camera is challenging in the presence of unknown camera motion, diverse object motions and complex scene structures. Most existing methods rely on a single motion cue to perform motion s
Externí odkaz:
http://arxiv.org/abs/2405.01723
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