For this week’s assignment, we are supposed to spend some time on CycleGAN. At first, I accidentally retrained monet2photo, so I just explored more about this model by doing some inferences.
Here are some of my results:
From my observation, the model works much better on the paintings of scenery than those of people. For the paintings of people, they are more like added a blur filter without too many changes. However, even though the results of scenery paintings are not too bad, it is still not realistic enough in my opinion, considering there are still some strokes in the picture.
And here is an example demonstration of monet2photo model I found online. Apparently, the effect is better than my results. I think it may be due to the different parameters during training, but I’m not sure which parameters would influence most.
Furthermore, I used some paintings of Van Gogh as the input to see their results under monet2photo model. I think the results are worse here than the portray paintings of Monet, but meanwhile there is still some similarity of the style for the outputs.
Besides, I trained CycleGAN using facades dataset, but the training process takes time and I may add more details about it later. 🙂