A paper says

However, annotations used as inputs to C-GAN are typically based only on shape information, which can result in undesirable intensity distributions in the resulting artificially-created images.

What does "shape information" mean here?

I am aware of basic concept of GAN(generative adversarial networks), though I don't understand what "shape information" refers to.

enter image description here

I am aware the image above is an illustration of Image Segmentation. Would I think of the any one of the segmented area (red, green, blue) as a shape for a GAN?

Could someone please give a hint? Thanks in advance.


"Shape information" refers to the outlines of objects in an image. It does not include information like color.

You can think of it as the output of an edge detector on a greyscale version of the original image


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