Zobrazeno 1 - 10
of 841
pro vyhledávání: '"Hou Fei"'
Autor:
Liu Chao, Wang Yun, Dao Yuyang, Wang Shuting, Hou Fei, Yang Zhixian, Liu Pengjie, Lv Juan, Lv Ling, Li Gaofeng, Zhou Youjun, Deng Zhiyong
Publikováno v:
Acta Biochimica et Biophysica Sinica, Vol 54, Pp 99-112 (2021)
Centromere protein M (CENPM) is essential for chromosome separation during mitosis. However, its roles in lung adenocarcinoma (LUAD) progression and metastasis remain unknown. In this study, we aimed to explore the effects of CENPM on LUAD progressio
Externí odkaz:
https://doaj.org/article/871074bf7cc44f6b9afd78c024c3ded2
Unsigned distance fields (UDFs) allow for the representation of models with complex topologies, but extracting accurate zero level sets from these fields poses significant challenges, particularly in preserving topological accuracy and capturing fine
Externí odkaz:
http://arxiv.org/abs/2408.17284
Numerical solvers of Partial Differential Equations (PDEs) are of fundamental significance to science and engineering. To date, the historical reliance on legacy techniques has circumscribed possible integration of big data knowledge and exhibits sub
Externí odkaz:
http://arxiv.org/abs/2408.04846
Autor:
Hu, Jiangbei, Li, Yanggeng, Hou, Fei, Hou, Junhui, Zhang, Zhebin, Wang, Shengfa, Lei, Na, He, Ying
Unsigned distance fields (UDFs) provide a versatile framework for representing a diverse array of 3D shapes, encompassing both watertight and non-watertight geometries. Traditional UDF learning methods typically require extensive training on large da
Externí odkaz:
http://arxiv.org/abs/2407.01330
The 3D Gaussian Splatting technique has significantly advanced the construction of radiance fields from multi-view images, enabling real-time rendering. While point-based rasterization effectively reduces computational demands for rendering, it often
Externí odkaz:
http://arxiv.org/abs/2406.18199
While Signed Distance Fields (SDF) are well-established for modeling watertight surfaces, Unsigned Distance Fields (UDF) broaden the scope to include open surfaces and models with complex inner structures. Despite their flexibility, UDFs encounter si
Externí odkaz:
http://arxiv.org/abs/2406.00346
Autor:
Liu, Weizhou, Li, Jiaze, Chen, Xuhui, Hou, Fei, Xin, Shiqing, Wang, Xingce, Wu, Zhongke, Qian, Chen, He, Ying
This paper presents a method for reconstructing watertight 3D surfaces from unoriented point clouds. Starting with randomly initialized normals, the method iteratively refines each normal by diffusing the gradient of the generalized winding number (G
Externí odkaz:
http://arxiv.org/abs/2405.13839
In this paper, we are concerned with the global existence and scattering of small data smooth solutions to a class of quasilinear wave systems on the product space $\mathbb{R}^2\times\mathbb{T}$. These quasilinear wave systems include 3D irrotational
Externí odkaz:
http://arxiv.org/abs/2405.03242
Autor:
Hu, Jiangbei, Fei, Ben, Xu, Baixin, Hou, Fei, Yang, Weidong, Wang, Shengfa, Lei, Na, Qian, Chen, He, Ying
We introduce a new generative model that combines latent diffusion with persistent homology to create 3D shapes with high diversity, with a special emphasis on their topological characteristics. Our method involves representing 3D shapes as implicit
Externí odkaz:
http://arxiv.org/abs/2401.17603
The advancements in neural rendering have increased the need for techniques that enable intuitive editing of 3D objects represented as neural implicit surfaces. This paper introduces a novel neural algorithm for parameterizing neural implicit surface
Externí odkaz:
http://arxiv.org/abs/2310.05524