DRAW

Torch implementation of DRAW: A Recurrent Neural Network For Image Generation, based on https://github.com/vivanov879/draw

Implementation not completed. Now results are rather random.

Results:

Result for the reconstruction:

Results for the generation:

The model used for producing gif have been learning by 4 hours then it stop converging

TODO:

• add normalization to filter back: DONE
• use different AttentionRead and AttentionWrite filter size: DONE
• get similar results to https://github.com/jbornschein/draw (using same architecture)

Changes compared to https://github.com/vivanov879/draw

• added batch learning
• more modular code, most of the element have own file
• added cuda support
• addded command line arguments