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2D Guided 3D Gaussian Segmentation

Publisher: IEEE

Authors: Lan Kun, University of Science and Technology of China Li Haoran, University of Science and Technology of China Shi Haolin, University of Science and Technology of China Wu Wenjun, University of Science and Technology of China Wang Lin, AI Trust, HKUST(GZ)Liao Yong, University of Science and Technology of China

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Abstract:

We add an attribute to each Gaussian to represent its probability distribution across various categories, and use the 2D segmentation results as supervision. After learning the probability distribution, we use KNN and point cloud filtering algorithms to refine the segmentation results

Keywords: 3D Gaussian, 3D Segmentation

Published in: 2024 Asian Conference on Communication and Networks (ASIANComNet)

Date of Publication: --

DOI: -

Publisher: IEEE

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