abhirup-dev / Generating-Devanagari-Using-DRAW

PyTorch implementation of DRAW: A Recurrent Neural Network For Image Generation trained on Devanagari dataset.

Generating-Devanagari-Using-DRAW

PyTorch implementation of DRAW: A Recurrent Neural Network For Image Generation on the task of generating Devanagari Characters.

Training

Download the data and place it in the data/ directory. Run train.py to start training. To change the hyperparameters of the network, update the values in the param dictionary in train.py.

Loss Curve

Generating New Images

To generate new images run generate.py.

python3 evaluate.py -load_path /path/to/pth/checkpoint -num_output n

The checkpoint file for the model trained for 50 epochs is present in checkpoint/ directory.

Results

Devanagari Training Data	Generated Devanagari After 50 Epochs

Devanagari Numbers Only Training Data	Generated Devanagari Numbers After 50 Epochs

Some more generated images:

References

1. Karol Gregor, Ivo Danihelka, Alex Graves, Danilo Jimenez Rezende, Daan Wierstra. DRAW: A Recurrent Neural Network For Image Generation. [arxiv]
2. ericjang/draw [repo]
3. What is DRAW (Deep Recurrent Attentive Writer)? [blog]

Data

The Devanagari Character dataset is available on kaggle. (Source)