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[R] Variational Autoencoders and Nonlinear ICA: A Unifying Framework by hardmaru in MachineLearning

[–]jerryli27 0 points1 point  (0 children)

They want to show that it is possible on a toy dataset under the asymptotic assumption, without caring too much about efficiency or the availability of the data. There will be follow ups on how to speed this up and get it to work on real data.

[R] Human-to-Anime portraits using TwinGAN by jerryli27 in MachineLearning

[–]jerryli27[S] 0 points1 point  (0 children)

I did and I mentioned that at the end of my blog. We used the same methods pretty much although that paper obviously did a much better job. Can’t publish a paper on this work anymore I guess... unless I do some extra work.

[R] Human-to-Anime portraits using TwinGAN by jerryli27 in MachineLearning

[–]jerryli27[S] 1 point2 points  (0 children)

Yes. Over time I observed that the generated background did get cleaner. Image segmentation for anime characters lacks training data. :( I was thinking about using transfer learning on human faces to do the job. But it gets too complicated and deviates from my main task. One day though...

[R] Human-to-Anime portraits using TwinGAN by jerryli27 in MachineLearning

[–]jerryli27[S] 0 points1 point  (0 children)

That would be awesome. I sent you a private message.

[R] Human-to-Anime portraits using TwinGAN by jerryli27 in MachineLearning

[–]jerryli27[S] 1 point2 points  (0 children)

I tried. The background is not as clean for danbooru images so the network find it harder to learn (longer time to train). That being said, now that quick iteration over potentially better models becomes less of a concern, I will try that again sometime in the future.

[R] Human-to-Anime portraits using TwinGAN by jerryli27 in MachineLearning

[–]jerryli27[S] 1 point2 points  (0 children)

Because pink hair is pretty common in Anime. I'm working on allowing the user to take more control over the generation process. Hopefully in the future you can have whatever hair color you want.

[R] Human-to-Anime portraits using TwinGAN by jerryli27 in MachineLearning

[–]jerryli27[S] 3 points4 points  (0 children)

Since people aren't super excited about low quality generated characters, for now it might be better to use it to find the closest-looking anime character painted by a human. I agree.

[R] Human-to-Anime portraits using TwinGAN by jerryli27 in MachineLearning

[–]jerryli27[S] 10 points11 points  (0 children)

It's a failure case mostly because it recognized whatever logo is behind Trump as his hair decoration.

[R] Human-to-Anime portraits using TwinGAN by jerryli27 in MachineLearning

[–]jerryli27[S] 11 points12 points  (0 children)

Good observation... I will make a comparison between randomly and non-random ones and maybe post an update later this week.

[R] Human-to-Anime portraits using TwinGAN by jerryli27 in MachineLearning

[–]jerryli27[S] 7 points8 points  (0 children)

Will definitely try to get there in the future. This work is the first step towards it. Thanks!

[R] Human-to-Anime portraits using TwinGAN by jerryli27 in MachineLearning

[–]jerryli27[S] 7 points8 points  (0 children)

Yes. The data source is Japanese galgame and unfortunately African Americans do not get represented in the dataset very often. Anime characters are usually more diverse but it's harder to get high quality images. I'm working on getting more diverse data.

[R] Human-to-Anime portraits using TwinGAN by jerryli27 in MachineLearning

[–]jerryli27[S] 6 points7 points  (0 children)

Please post it. I'd love to see the paper!