3D-CycleGANs

Reconstruction from sparse 3D models to dense 3D models by CycleGANs and extra autoencoder training.

Data and saved_models

https://drive.google.com/drive/folders/11J3flfTdlYlX7kGDFUM7MB9P1sAOv3gw?usp=sharing

Requirements

python 2.7

numpy 1.13.1

keras 2.0.8

keras-contrib 2.0.8

tensorflow-gpu 1.3.0

scipy 0.19.1

Run

$ cd cycle_gan/
$ python cyclegan.py

Validation

Generate data

$ cd Validation
$ python predict_generator.py

Intersection-over-union (IoU) Metrics

$ python IoU_test.py chair ../Data/chair/train_3d/