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2024-10-26 18:29:43
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2024-10-26 18:29:43
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2024-10-26 18:29:44
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87719371 (github.io)
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title
description
Feature 3DGS: Supercharging 3D Gaussian Splatting to Enable Distilled Feature Fields
image
site name
author
updated
2026-03-02 08:27:47
raw text
Feature 3DGS: Supercharging 3D Gaussian Splatting to Enable Distilled Feature Fields Feature 3DGS 🪄 Supercharging 3D Gaussian Splatting to Enable Distilled Feature Fields Shijie Zhou 1 , Haoran Chang 1* , Sicheng Jiang 1* , Zhiwen Fan 2 , Zehao Zhu 2 , Dejia Xu 2 , Pradyumna Chari 1 , Suya You 3 , Zhangyang Wang 2 , Achuta Kadambi 1 1 University of California, Los Angeles 2 University of Texas at Austin 3 DEVCOM ARL *Denotes Equal Contribution CVPR 2024, Seattle ✨ Highlight ✨ Paper Video Code Radiance Field Distilled Feature Field (LSeg) Radiance Field Distilled Feature Field (SAM) Switch Feature Field 🪄 Feature 3DGS distills 3D feature fields from any 2D foundation models, opening the door to a brand new semantic, editable, and promptable explicit 3D scene representation. Abstract 3D scene representations have gained immense popularity in recent years. Methods that use Neural Radiance fields ar...
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2026-03-02 08:27:47
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