A Pytorch Implementation of PixelCNN++.
Main work taken from the official implementation
Pre-trained models are available here
I kept the code structure to facilitate comparison with the official code.
The code achieves 2.95 BPD on test set, compared to 2.92 BPD on the official tensorflow implementation.
python main.py
- No data dependant weight initialization
- No exponential moving average of past models for test set evalutation
For questions / comments / requests, feel free to send me an email.
Happy generative modelling :)