Implementation of LSGANs in Tensorflow. Official repo for the paper can be found here.
Requirements
- Python 2.7
- Tensorflow v1.0
Datasets
- LSUN
The results aren't as good as the paper shows, and I'm still investigating why.
I used the LSUN church and bedroom dataset. The images are resized to 112x112 (same size as the generator produces).
python train.py --DATA_DIR=[/path/to/images/] --DATASET=[dataset] --BATCH_SIZE=[batch_size]
For example, if you have the LSUN dataset
pytohn train.py --DATA_DIR=/mnt/lsun/church/images/ --DATASET=church
To see a fancy picture such as the one on this page, simply run
python createPhotos.py checkpoints/church/
or wherever your model is saved.
If you see the following as your "results", then you did not provide the complete path to your checkpoint, and this is from the model's initialized weights.