Point Clouds Meets Physics: Dynamic Acoustic Field Fitting Network for Point Cloud Understanding

While existing pre-training-based methods have enhanced point cloud model performance, they have not fundamentally resolved the challenge of local structure representation in point clouds. The limited representational capacity of pure point cloud models continues to constrain the potential of cross-...

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Bibliographic Details

Published in:	Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online) p. 22182
Main Authors:	Wang, Changshuo, He, Shuting, Fang, Xiang, Han, Jiawei, Liu, Zhonghang, Ning, Xin, Li, Weijun, Tiwari, Prayag
Format:	Conference Proceeding
Language:	English
Published:	IEEE 10.06.2025
Series:	IEEE Conference on Computer Vision and Pattern Recognition. Proceedings
Subjects:	Acoustic field Adaptation models Computer architecture Convolution Fitting Pattern recognition Point cloud compression Shape Solid modeling Three-dimensional displays
ISBN:	9798331543648, 9798331543655
ISSN:	1063-6919
Online Access:	Get full text
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