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3D Moments from Near-Duplicate Photos. (arXiv:2205.06255v1 [cs.CV])
May 13, 2022, 1:10 a.m. | Qianqian Wang, Zhengqi Li, David Salesin, Noah Snavely, Brian Curless, Janne Kontkanen
cs.CV updates on arXiv.org arxiv.org
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 …
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