@inproceedings{c05658aa256444d983e87d471f5cfc65,
title = "Novel-view synthesis of human tourist photos",
abstract = "We present a novel framework for performing novel-view synthesis on human tourist photos. Given a tourist photo from a known scene, we reconstruct the photo in 3D space through modeling the human and the background independently. We generate a deep buffer from a novel viewpoint of the reconstruction and utilize a deep network to translate the buffer into a photo-realistic rendering of the novel view. We additionally present a method to relight the renderings, allowing for relighting of both human and background to match either the provided input image or any other. The key contributions of our paper are: 1) a framework for performing novel view synthesis on human tourist photos, 2) an appearance transfer method for relighting of humans to match synthesized backgrounds, and 3) a method for estimating lighting properties from a single human photo. We demonstrate the proposed framework on photos from two different scenes of various tourists.",
keywords = "Computational Photography, Image and Video Synthesis Vision for Graphics",
author = "Jonathan Freer and Yi, {Kwang Moo} and Wei Jiang and Jongwon Choi and Chang, {Hyung Jin}",
year = "2022",
month = feb,
day = "15",
doi = "10.1109/WACV51458.2022.00093",
language = "English",
isbn = "9781665409162 (PoD)",
series = "Proceedings. IEEE Workshop on Applications of Computer Vision",
publisher = "IEEE",
pages = "857--864",
editor = "Lisa O{\textquoteright}Conner",
booktitle = "2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)",
note = "Winter Conference on Applications of Computer Vision, WACV 2022 ; Conference date: 04-01-2022 Through 08-01-2022",
}