Robust Attentional Aggregation of Deep Feature Sets for Multi-view 3D Reconstruction

Bo Yang, Sen Wang, Andrew Markham, Niki Trigoni. IJCV, 2019.

(1) Architecture

(2) Optimization

(3) Sample Results

(4) Data

3D-R2N2 Dataset

https://github.com/chrischoy/3D-R2N2

LSM Dataset

https://github.com/akar43/lsm

(5) Released Model

Trained on 3D-R2N2 dataset, 70M

https://drive.google.com/open?id=1A1ihqMDfZLrjQeCFWEjgp-WYb810_om-

(6) Requirements

python 2.7 or 3.5

tensorflow 1.2 +

numpy 1.13.3

scipy 0.19.0

matplotlib 2.0.2

skimage 0.13.0

(7) Run

Training

python main_AttSets.py

Test Demo (Download released model first)

python demo_AttSets.py

(8) Citation

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

@inProceedings{Yang18b,
  title={Robust Attentional Aggregation of Deep Feature Sets for Multi-view 3D Reconstruction},
  author = {Bo Yang
  and Sen Wang
  and Andrew Markham
  and Niki Trigoni,
  booktitle={IJCV 2019},
  year={2018}
}