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of 73
pro vyhledávání: '"Lv, Chenlei"'
Managing the level-of-detail (LOD) in architectural models is crucial yet challenging, particularly for effective representation and visualization of buildings. Traditional approaches often fail to deliver controllable detail alongside semantic consi
Externí odkaz:
http://arxiv.org/abs/2409.12207
Learning meaningful local and global information remains a challenge in point cloud segmentation tasks. When utilizing local information, prior studies indiscriminately aggregates neighbor information from different classes to update query points, po
Externí odkaz:
http://arxiv.org/abs/2408.11558
Polygonal mesh reconstruction of a raw point cloud is a valuable topic in the field of computer graphics and 3D vision. Especially to 3D architectural models, polygonal mesh provides concise expressions for fundamental geometric structures while effe
Externí odkaz:
http://arxiv.org/abs/2407.19208
Autor:
Lv, Chenlei, Zhang, Dan
As an important subtopic of image enhancement, color transfer aims to enhance the color scheme of a source image according to a reference one while preserving the semantic context. To implement color transfer, the palette-based color mapping framewor
Externí odkaz:
http://arxiv.org/abs/2405.08263
Autor:
Yan, Weiqing, Zhang, Yuanyang, Lv, Chenlei, Tang, Chang, Yue, Guanghui, Liao, Liang, Lin, Weisi
Multi-view clustering can partition data samples into their categories by learning a consensus representation in unsupervised way and has received more and more attention in recent years. However, most existing deep clustering methods learn consensus
Externí odkaz:
http://arxiv.org/abs/2305.06799
Point cloud registration is a popular topic which has been widely used in 3D model reconstruction, location, and retrieval. In this paper, we propose a new registration method, KSS-ICP, to address the rigid registration task in Kendall shape space (K
Externí odkaz:
http://arxiv.org/abs/2211.02807
Mesh reconstruction from a 3D point cloud is an important topic in the fields of computer graphic, computer vision, and multimedia analysis. In this paper, we propose a voxel structure-based mesh reconstruction framework. It provides the intrinsic me
Externí odkaz:
http://arxiv.org/abs/2104.10622
Akademický článek
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Akademický článek
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Autor:
Lv, Chenlei1 (AUTHOR), Cheng, Tianyang1 (AUTHOR), Zhang, Bingbing2 (AUTHOR), Sun, Ke1 (AUTHOR), Lu, Keda3 (AUTHOR)
Publikováno v:
Renal Failure. Dec2023, Vol. 45 Issue 1, p1-17. 17p.
