Hello, what an excellent job you have done from gan dissection to gan painting and gan rewritting, i have carefully read the paper "GAN Dissection: Visualizing and Understanding Generative Adversarial Networks" and the paper "Semantic Photo Manipulation with a Generative Image Prior".
In particular, i have doubts about how to intervention the middle layer in gan to draw/remove the user-specified semantic concepts in the **user-marked area** in output image, for example , in gan-painting(https://ganpaint.io/), we could choose some marked region and use the gan dissection to find the units in the middle layer associated with most matched concept , then choose some way to edit the units in the middle layer like insert value k in the units
The question is hou to ensure that **the position of the middle layer editor will correspond exactly to the position that calibrated by the user in the output image**。gan dissection , in my opinion , would find the agreement between the concept in the output image and the unit(feature map) in the middle layer, wheras , it would not ensure the concept just appears in the are drawn by the user.
It is clear to understand the match between the concept and the unit, but i have doubts about the match between the location area of the concept and the editing area in the unit. would you mind giving me more details on this issue ?
