For this week’s assignment, I decided to use the vangogh2photo dataset that came with the cycleGAN model due to lack of time to procure a custom dataset. Not to mention the time taken it takes to train a GAN model.
That being said, this particular dataset took roughly 36-40 hours to train 200 epochs.
The results were interesting to say the least. I tested it with 3 different images, and unironically, I chose 3 paintings by Van Gogh to see how a model trained with his style would respond to the cycleGAN.
Additionally, what I did was that I recursively fed back the outputs of the GAN back into the model to see what sort of outcome I’d get.
Here are the results :
Here are the images generated by the model
The results of White House at Night is my personal favorite because of the fact that the artifacts that came about on the first image kept getting amplified as you progress down to the other images.
