SunDaDenny/DuLa-Net: Pytorch demo code of our CVPR 2019 paper: DuLa-Net: A Dual-Projection Network for Estimating Room Layouts from a Single RGB Panorama

Type
Software
Authors
Yang, Shang-Ta
Wang, Fu-En
Peng, Chi-Han
Wonka, Peter cc
Chu, Hung-Kuo
Sun, Min
KAUST Department
Computer Science Program
Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division
Visual Computing Center (VCC)
Date
2019-10-06
Permanent link to this record
http://hdl.handle.net/10754/667906

Metadata
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Abstract
Pytorch demo code of our CVPR 2019 paper: DuLa-Net: A Dual-Projection Network for Estimating Room Layouts from a Single RGB Panorama
Publisher
Github
Additional Links
https://github.com/SunDaDenny/DuLa-Net
Relations
Is Referenced By:
  • [Preprint]
    Title: 3D Manhattan Room Layout Reconstruction from a Single 360 Image. Publication Date: 2019-10-09. Handle: 10754/660690 arXiv: 1910.04099
Collections
Computer Science Program; Visual Computing Center (VCC); Software; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division