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2D Guided 3D Gaussian Segmentation

ID: 50 View Protection: Participants Only Updated time: 2024-10-18 08:02:01 Views: 895
Time: 01 Jan 1970, 08:00
Session: [RS1] Regular Session 1 » [RS1-3] Emerging Trends of AI/ML
Source: 2024 Asian Conference on Communication and Networks
Type: Virtual Presentation
File: Video No right to play Slide
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:

Lan Kun

University of Science and Technology of China
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