3D Room Layout Recovery Generalizing across Manhattan and Non-Manhattan Worlds-Reference-Cited by-同舟云学术

3D Room Layout Recovery Generalizing across Manhattan and Non-Manhattan Worlds

Published:2022-06 Issue: Volume: Page:
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Container-title:2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
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Author:

Jia Haijing¹,Yi Hong¹,Fujiki Hirochika²,Zhang Hengzhi¹,Wang Wei¹,Odamaki Makoto²

Affiliation:

1. Ricoh Software Research Center (Beijing) Co., Ltd.,Beijing,China

2. Ricoh Company, Ltd.,Japan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9856930/9856648/09857035.pdf?arnumber=9857035

Reference58 articles.

1. Semi-supervised indoor layout estimation from 360deg panorama;vu tran;Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition,2021

2. Hohonet: 360 indoor holistic understanding with latent horizontal features;sun,2020

3. A coarse-to-fine indoor layout estimation (cfile) method;ren;Asian Conference on Computer Vision,2016

4. OmniLayout: Room Layout Reconstruction from Indoor Spherical Panoramas

5. Lifting 3D Manhattan Lines from a Single Image

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