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This Cat Does Not Exist

thiscatdoesnotexist.com

171–180 of 189 posts

Re: This Cat Does Not Exist

#172
post #41

Cute idea, but about half of these have given me very weird/unrealistic results. For instance this[1] one which, while amusing as hell, isn't exactly convincing. https://i.imgur.com/g5bHmH6.png

I wish researchers were using these examples to further understand what this network does, how it fails and what are its fundamental limitations. However, such digging would undermine the hype, so I'm not particularly hopeful. Most of the issues are just written off as kinks to be ironed out. Another thing that really bothers me is that no one tries to replicate any of these results without neural networks[1]. To mos…

ML isn't perfect, in case you didn't know. If you want to catch up with academic progress, search for stylegan. Aren't we allowed to have some fun sometimes?

Re: This Cat Does Not Exist

#173
post #105

Earlier quoted context omitted.

I got some pretty tough ones on mobile. Maybe if I had zoomed in I would have seen the differences.’, but eh: https://imgur.com/a/UXSCOG8

The fake image looks extra weird because it looks like he has glasses on the right side of his face but its kinda cropped out

Ahah. I didn’t see that, and I have pretty bad vision myself.

Re: This Cat Does Not Exist

#174
post #119

I still can't shake the feeling that most of these StyleGAN images are cleverly overfitting and just showing the face of an already existing cat in its training data. (But would love to be proven wrong!)

Back when I used to experiment with Markov chat simulators, this was a big problem. Besides the disappointment of finding out a particularly clever generated sentence was actually verbatim from the training set, there's also "accidental sharing" and/or "plagarism" issues. Of course with text it's pretty simple to code a check that output doesn't exactly match any known inputs. Not sure how you'd do that with images; maybe some kind of image hashing. (I wonder if you could use the neural network itself to assist in that - i.e. hash the measured values at a lower-dimensioned layer of the network rather than the raw image.)

Re: This Cat Does Not Exist

#176
post #41

Cute idea, but about half of these have given me very weird/unrealistic results. For instance this[1] one which, while amusing as hell, isn't exactly convincing. https://i.imgur.com/g5bHmH6.png

I wish researchers were using these examples to further understand what this network does, how it fails and what are its fundamental limitations. However, such digging would undermine the hype, so I'm not particularly hopeful. Most of the issues are just written off as kinks to be ironed out. Another thing that really bothers me is that no one tries to replicate any of these results without neural networks[1]. To mos…

"To me, this indicates that much of the current ML research fails to generate true insight."

I don't think anyone who knows what they're talking about would say otherwise.

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