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pro vyhledávání: '"Li, Zhihao"'
To overcome the inherent domain gap between remote sensing (RS) images and natural images, some self-supervised representation learning methods have made promising progress. However, they have overlooked the diverse angles present in RS objects. This
Externí odkaz:
http://arxiv.org/abs/2408.01946
Direct numerical simulations (DNS) of microscale fluid-structure interactions (mFSI) in multicomponent multiphase flows pose many challenges such as the thermodynamic consistency of multiphysics couplings, the tracking of moving interfaces, and the d
Externí odkaz:
http://arxiv.org/abs/2407.14291
Novel view synthesis from raw images provides superior high dynamic range (HDR) information compared to reconstructions from low dynamic range RGB images. However, the inherent noise in unprocessed raw images compromises the accuracy of 3D scene repr
Externí odkaz:
http://arxiv.org/abs/2406.08300
Solving partial differential equations (PDEs) effectively necessitates a multi-scale approach, particularly critical in high-dimensional scenarios characterized by increasing grid points or resolution. Traditional methods often fail to capture the de
Externí odkaz:
http://arxiv.org/abs/2406.04822
Recently, 3D Gaussian Splatting (3DGS) has become a promising framework for novel view synthesis, offering fast rendering speeds and high fidelity. However, the large number of Gaussians and their associated attributes require effective compression t
Externí odkaz:
http://arxiv.org/abs/2405.20721
While controllable generative models for images and videos have achieved remarkable success, high-quality models for 3D scenes, particularly in unbounded scenarios like autonomous driving, remain underdeveloped due to high data acquisition costs. In
Externí odkaz:
http://arxiv.org/abs/2405.14475
Autor:
Liu, Jiayue, Tang, Xiao, Cheng, Freeman, Yang, Roy, Li, Zhihao, Liu, Jianzhuang, Huang, Yi, Lin, Jiaqi, Liu, Shiyong, Wu, Xiaofei, Xu, Songcen, Yuan, Chun
3D Gaussian Splatting showcases notable advancements in photo-realistic and real-time novel view synthesis. However, it faces challenges in modeling mirror reflections, which exhibit substantial appearance variations from different viewpoints. To tac
Externí odkaz:
http://arxiv.org/abs/2405.11921
We demonstrate that, even when there are moderate overlaps in the inputs of sloppy or accurate double-word addition algorithms in the QD library, these algorithms still guarantee error bounds of $O(u^2(|a|+|b|))$ in faithful rounding. Furthermore, th
Externí odkaz:
http://arxiv.org/abs/2404.05948
Autor:
Lin, Jiaqi, Li, Zhihao, Tang, Xiao, Liu, Jianzhuang, Liu, Shiyong, Liu, Jiayue, Lu, Yangdi, Wu, Xiaofei, Xu, Songcen, Yan, Youliang, Yang, Wenming
Existing NeRF-based methods for large scene reconstruction often have limitations in visual quality and rendering speed. While the recent 3D Gaussian Splatting works well on small-scale and object-centric scenes, scaling it up to large scenes poses c
Externí odkaz:
http://arxiv.org/abs/2402.17427
Autor:
Wan, Lei, Zhang, Xiangyun, Wu, Dalong, Li, Zhihao, Yuan, Dongtao, Li, Junming, Zhang, Shikui, Yue, Long, Zhang, Shao'an
Publikováno v:
JMIR Medical Informatics, Vol 9, Iss 1, p e24164 (2021)
BackgroundFemoral neck fracture is a common type of hip fracture. Conventional surgical treatment aims at fixing the fracture site with screws and then gradually promoting bone healing. A robot-assisted orthopedic surgery system is computer technolog
Externí odkaz:
https://doaj.org/article/e0dbaaf2d88a4ae0adacf5ab3efb9a90