LayoutGAN implementation, and this repo failed
you'd better check this implementation
README : Failed.
- my implementation of max pooling is totally wrong.
- the self-attention(relation_module) should be checked if its back-prop gradient flows well.
- the hidden layer size is my arbitrary choice.
- check it out for implementation reference. PointNet
TODO
- Logic bugfix on random z generation on training.
- loss.backward and optimizer.step should be added to genenrator traininig. - fix number in datasets.py : np.float32(2*id +1)/48 -> np.float32(2*id +1)/56 - Wireframe method implementation.
- Network optimization.
- Test with Clipart, Tangram dataset.