Seeing the World in a Bag of Chips

Jeong Joon Park, Aleksander Holynski, Steven M. Seitz; The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020, pp. 1417-1427

Abstract


We address the dual problems of novel view synthesis and environment reconstruction from hand-held RGBD sensors. Our contributions include 1) modeling highly specular objects, 2) modeling inter-reflections and Fresnel effects, and 3) enabling surface light field reconstruction with the same input needed to reconstruct shape alone. In cases where scene surface has a strong mirror-like material component, we generate highly detailed environment images, revealing room composition, objects, people, buildings, and trees visible through windows. Our approach yields state of the art view synthesis techniques, operates on low dynamic range imagery, and is robust to geometric and calibration errors.

Related Material


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[bibtex]
@InProceedings{Park_2020_CVPR,
author = {Park, Jeong Joon and Holynski, Aleksander and Seitz, Steven M.},
title = {Seeing the World in a Bag of Chips},
booktitle = {The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}