[Virtual Presentation]2D Guided 3D Gaussian Segmentation

2D Guided 3D Gaussian Segmentation
ID：50 Submission ID：15 View Protection：ATTENDEE Updated Time：2024-10-18 08:02:01 Hits：71 Virtual Presentation

Start Time：2024-10-26 11:20 （Asia/Bangkok）

Duration：15min

Session：[RS1] Regular Session 1 » [RS1-3] Emerging Trends of AI/ML

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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
Speaker
Kun Lan
University of Science and Technology of China

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