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title
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2026-02-23 14:46:51
raw text
NAVI Dataset NAVI: Category-Agnostic Image Collections with High-Quality 3D Shape and Pose Annotations Varun Jampani* Kevis-Kokitsi Maninis* Andreas Engelhardt Arjun Karpur Karen Truong Kyle Sargent Stefan Popov Andre Araujo Ricardo Martin-Brualla Kaushal Patel Daniel Vlasic Vittorio Ferrari Ameesh Makadia Ce Liu Yuanzhen Li Howard Zhou (*equal contribution) Google NAVI dataset consists of both in-the-wild and multi-view image collecitons with high-quality aligned 3D shape ground-truths [Paper] [Supplementary] [Dataset**] [License] [BibTeX] **The dataset has been updated with video captures. Abstract Recent advances in neural reconstruction enable high-quality 3D object reconstruction from casually captured image collections. Current techniques mostly analyze their progress on relatively simple image collections where SfM techniques can provide ground-truth (GT) camera poses. We note that SfM tech...
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