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Open Graph

title

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3D Moments from Near-Duplicate Photos

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site name

author

updated

2026-01-19 20:18:19

raw text

3D Moments from Near-Duplicate Photos 3D Moments from Near-Duplicate Photos Qianqian Wang 1,2 , Zhengqi Li 1 , David Salesin 1 , Noah Snavely 1,2 , Brian Curless 1,3 , Janne Kontkanen 1 1 Google Research   2 Cornell Tech, Cornell University   3 University of Washington CVPR 2022 Paper arXiv Video Supp Code 3D Moments turns a duplicate photo pair into space-time videos Abstract We introduce 3D Moments, a new computational photography effect. As input we take a pair of near-duplicate photos, i.e., photos of moving subjects from similar viewpoints, common in people's photo collections. As output, we produce a video that smoothly interpolates the scene motion from the first photo to the second, while also producing camera motion with parallax that gives a heightened sense of 3D. To achieve this effect, we represent the scene as a pair of feature-based layered depth images augmented with scene flow. This representation enables motio...

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