Jump to Content

3D Moments from Near Duplicate Photos

Qianqian Wang
Zhengqi Li
Noah Snavely
Brian Curless
Conference on Computer Vision and Pattern Recognition (CVPR) (2022)
Google Scholar

Abstract

We introduce a new computational photography effect, starting from a pair of near duplicate photos that are prevalent in people's photostreams. Combining monocular depth synthesis and optical flow, we build a novel end-to-end system that can interpolate scene motion while simultaneously allowing independent control of the camera. We use our system to create short videos with scene motion and cinematic camera motion. We compare our method against two different baselines and demonstrate that our system outperforms them both qualitatively and quantitatively in publicly available benchmark datasets.

Research Areas