HierarchyLayout
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[CVPR'19] Hierarchy Denoising Recursive Autoencoders for 3D Scene Layout Prediction
This is the code repository for "Hierarchy Denoising Recursive Autoencoders for 3D Scene Layout Prediction" .
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2019
Created by Yifei Shi, Angel Xuan Chang, Zhelun Wu, Manolis Savva and Kai Xu
Usage - VDRAE
Dependancy
The code includes two components: data preprocessing and VDRAE.
Data preparation
You need to process the raw data of S3DIS or Matterport3D before feed it to VDRAE, please see preprocess for details.
VDRAE
The VDRAE is the main network of this project. After data preparation, you can train and test the scene by looking at vdrae.
Citation
If you find the code is useful, please cite:
@inproceedings{shi2019hierarchy,
author = {Yifei Shi and Angel Xuan Chang and and Zhelun Wu and Manolis Savva and Kai Xu},
booktitle = {Proc. Computer Vision and Pattern Recognition (CVPR), IEEE},
title = {Hierarchy Denoising Recursive Autoencoders for 3D Scene Layout Prediction},
year = {2019}
}