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title
description
EgoLifter: Open-world 3D Segmentation for Egocentric Perception
image
site name
author
updated
2026-03-01 03:38:56
raw text
EgoLifter: Open-world 3D Segmentation for Egocentric Perception EgoLifter: Open-world 3D Segmentation for Egocentric Perception ECCV 2024 Qiao Gu 1,2 , Zhaoyang Lv 2 , Duncan Frost 2 , Simon Green 2 , Julian Straub 2 , Chris Sweeney 2 , 1 University of Toronto, 2 Meta Reality Labs Paper arXiv Video Code EgoLifter takes an egocentric video as input and lifts 2D instance segmentation results to 3D by contrastive learning. The results are 3D Gaussian models that can be decomposed into individual object instances by querying or clustering. Interactive 3D Segmentation Explainer Video Abstract In this paper we present EgoLifter , a novel system that can automatically segment scenes captured from egocentric sensors into a complete decomposition of individual 3D objects. The system is specifically designed for egocentric data where scenes contain hundreds of objects captured from natural (non-scanning) motion. EgoLif...
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2026-03-01 03:38:56
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