Howtosignalprocessing
- What are perceptual losses?
- Is perceptual loss the same as pixel loss?
- What is style loss?
- What is content loss?
What are perceptual losses?
What is a Perceptual Loss Function? Perceptual loss functions are used when comparing two different images that look similar, like the same photo but shifted by one pixel. The function is used to compare high level differences, like content and style discrepancies, between images.
Is perceptual loss the same as pixel loss?
A per-pixel loss function uses the absolute error to compare pixel values. In contrast, the perceptual loss function uses the mean squared error to generate the reconstructed output image.
What is style loss?
In simple words, style loss is the measure of how different the lower-level features of the generated image are from the base image. For example, features like color and texture. Style loss is obtained from all the layers whereas content loss is obtained from higher layers.
What is content loss?
The content loss is a L2 distance between the features of the base image (extracted from a deep layer) and the features of the combination image, keeping the generated image close enough to the original one.
