in the missing regions of the square based on what you've already filled up within the square on the edges and that will look like a reasonable completion very blurry though and if you look at the adversarial loss it's introducing artifacts that are completely new so as long as the discriminator thinks like it's a real object it would still work but it may not particularly have a coherence with respect to the actual background image and you've seen this problem in pics to Pyxis will vary for a conditional ganyo to provide the context