Question 11
Which of the following loss components are typically used in SRGAN (Super-Resolution GAN) to achieve photo-realistic results?
Adversarial Loss: To encourage the generator to produce solutions on the natural image manifold.
Content (Perceptual) Loss: Based on feature maps from a pre-trained VGG network.
Pixel-wise MSE only: To strictly maximize PSNR.
Classification Loss: To classify the image into 1000 classes.