Yang7879 / 3D-RecGAN

🔥3D-RecGAN in Tensorflow (ICCV Workshops 2017)
https://arxiv.org/abs/1708.07969
MIT License
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3d-computer-vision 3d-reconstruction gans generative-adversarial-network single-view

3D Object Reconstruction from a Single Depth View with Adversarial Learning

Bo Yang, Hongkai Wen, Sen Wang, Ronald Clark, Andrew Markham, Niki Trigoni. In ICCV Workshops, 2017.

Teaser_Image

Paper

https://arxiv.org/abs/1708.07969

Data

https://drive.google.com/open?id=1n4qQzSd_S6Isd6WjKD_sq6LKqn4tiQm9

Data are also available at Baidu Pan:

https://pan.baidu.com/s/165IXaA_JISCwGzTUCiuPig 提取码: gbp2

Requirements

python 2.7

tensorflow 1.1.0

numpy 1.12.1

scipy 0.19.0

Run

python main_3D-RecGAN.py

Citation

If you use the paper, code or data for your research, please cite:

@inProceedings{Yang17,
  title={3D Object Reconstruction from a Single Depth View with Adversarial Learning},
  author = {Bo Yang
  and Hongkai Wen
  and Sen Wang
  and Ronald Clark
  and Andrew Markham
  and Niki Trigoni},
  booktitle={International Conference on Computer Vision Workshops (ICCVW)},
  year={2017}
}