Otfan125
Well-Known Member
okay sorry for spamming your thread, but I just remembered an old project I was doing and I want to hear your professional opinion on it:
Assuming this is a regular GAN network (log(D(X)) - log(1 - D(G(Z))), and the fact that we are dealing with relatively small data, what do you think of the idea of mixing some generated images with the real dataset based on some probability p after the generator is relatively doing well? So lets say after some time, the generator starts performing well (I'm thinking in terms of RL, but I hope you understand me) and generates 100 figures... then, we randomly pick 100*p images for 0<p<1 and mix it with the real data.... Whats the motivation? Well, some of the figures I've seen so far from this project of yours are relatively similar to the cipsoft ones (i mean... DUH!), and I think this method of adding some form of 'noise samples, if you will' to the real data can maaaaaaaybe have the generator produce more eccentric images? Sorry, even I lost track of my thinking during typing, anyways, i hope this is interesting to you as it is to me
I did forget to mention that the generated images that were picked randomly via probability p should get replaced as the generator begins producing "better" images...
Assuming this is a regular GAN network (log(D(X)) - log(1 - D(G(Z))), and the fact that we are dealing with relatively small data, what do you think of the idea of mixing some generated images with the real dataset based on some probability p after the generator is relatively doing well? So lets say after some time, the generator starts performing well (I'm thinking in terms of RL, but I hope you understand me) and generates 100 figures... then, we randomly pick 100*p images for 0<p<1 and mix it with the real data.... Whats the motivation? Well, some of the figures I've seen so far from this project of yours are relatively similar to the cipsoft ones (i mean... DUH!), and I think this method of adding some form of 'noise samples, if you will' to the real data can maaaaaaaybe have the generator produce more eccentric images? Sorry, even I lost track of my thinking during typing, anyways, i hope this is interesting to you as it is to me
Post automatically merged:
I did forget to mention that the generated images that were picked randomly via probability p should get replaced as the generator begins producing "better" images...