IDEA-Net

This repository contains the official implementation of the paper IDEA-Net: Dynamic 3D Point Cloud Interpolation via Deep Embedding Alignment.

If you find our code or paper useful, please consider citing:

@inproceedings{zeng2022ideanet,
  title={IDEA-Net: Dynamic 3D Point Cloud Interpolation via Deep Embedding Alignment},
  author={Zeng, Yiming and Qian, Yue and Zhang, Qijian and Hou, Junhui and Yuan, Yixuan and He, Ying},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year={2022}
}

The code will be made public shortly after the conference.

Click on the cover below to see the video:

Setup

Processed dataset

You can download our processed DHB-dataset at this google drive link.

TO-DO

• DHB
• DHB_inf
• DFAUST
• DFAUST_inf
• train

Running

Demo - Quick Start

Training

Evaluation

Video demo

This is the compressed demo (due to github's 25MB limited size) and you can check the full size clear demo at this link of GoogleDrive (will provide asap):

Acknowledgements