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pro vyhledávání: '"Mi, Zhenxing"'
Autor:
Mi, Zhenxing, Xu, Dan
In NeRF, a critical problem is to effectively estimate the occupancy to guide empty-space skipping and point sampling. Grid-based methods work well for small-scale scenes. However, on large-scale scenes, they are limited by predefined bounding boxes,
Externí odkaz:
http://arxiv.org/abs/2411.11374
Multi-view Stereo (MVS) with known camera parameters is essentially a 1D search problem within a valid depth range. Recent deep learning-based MVS methods typically densely sample depth hypotheses in the depth range, and then construct prohibitively
Externí odkaz:
http://arxiv.org/abs/2112.02338
In this paper, a novel learning-based network, named DeepDT, is proposed to reconstruct the surface from Delaunay triangulation of point cloud. DeepDT learns to predict inside/outside labels of Delaunay tetrahedrons directly from a point cloud and co
Externí odkaz:
http://arxiv.org/abs/2101.10353
Existing learning-based surface reconstruction methods from point clouds are still facing challenges in terms of scalability and preservation of details on large-scale point clouds. In this paper, we propose the SSRNet, a novel scalable learning-base
Externí odkaz:
http://arxiv.org/abs/1911.07401
Akademický článek
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Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Multi-view Stereo (MVS) with known camera parameters is essentially a 1D search problem within a valid depth range. Recent deep learning-based MVS methods typically densely sample depth hypotheses in the depth range, and then construct prohibitively
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a666919a05831222d0e3ae4b3155429a
https://doi.org/10.1109/cvpr52688.2022.01265
https://doi.org/10.1109/cvpr52688.2022.01265
Autor:
Mi, Zhenxing
Berechnung des Wellenwiderstands nach einem modifizierten Dawson-Verfahren: Die vorliegende Arbeit behandelt den Wellenwiderstand eines schiffsförmigen Körpers mit glatter Oberfläche in homogener, inkompressibler, reibungsfreier Flüssigkeit. Die
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b5b7848723bc8dfa5b14893c996b32f