Laser: Efficient Language-Guided Segmentation in Neural Radiance Fields

In this work, we propose a method that leverages CLIP feature distillation, achieving efficient 3D segmentation through language guidance. Unlike previous methods that rely on multi-scale CLIP features and are limited by processing speed and storage requirements, our approach aims to streamline the...

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Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence Jg. 47; H. 5; S. 3922 - 3934
Hauptverfasser:	Miao, Xingyu, Duan, Haoran, Bai, Yang, Shah, Tejal, Song, Jun, Long, Yang, Ranjan, Rajiv, Shao, Ling
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.05.2025
Schlagworte:	3D segmentation Accuracy CLIP Feature extraction Image segmentation NeRF Neural radiance field Rendering (computer graphics) Semantics Solid modeling Three-dimensional displays Training Visualization
ISSN:	0162-8828, 1939-3539, 2160-9292, 1939-3539
Online-Zugang:	Volltext
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