Current image editing algorithms prevailingly involve specific processing intensities. After
the network training phase, the definite mapping is carried on testing images, which leads to
under-or over-editing in certain cases. However, for many real problems, having access to
diverse intensities of processing of the output is preferable. The hypothesis is that the part of
parameters that correspond to the intensity of processing of the network are implicitly
embedded in the whole parameter set and can be explicitly extracted and utilized, even with …