October 2018
Intermediate to advanced
368 pages
9h 20m
English
Figure 7.1.9 shows the colorization results of CycleGAN. The source images are from the test dataset. For comparison, we show the ground truth and the colorization results using a plain autoencoder described in Chapter 3, Autoencoders. Generally, all colorized images are perceptually acceptable. Overall, it seems that each colorization technique has both its own pros and cons. All colorization methods are not consistent with the right color of the sky and vehicle.
For example, the sky in the background of the plane (3rd row, 2nd column) is white. The autoencoder got it right, but the CycleGAN thinks it is light brown or blue. For the 6th row, 6th column, the boat on the dark sea had an overcast sky but was colorized ...