citnaj

5 ms·

1.
by citnaj 7y ago
Hello- Jason here (one of the authors). I'll answer questions! I might not get to them right away as I'm about to go to bed.
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Decrappification, DeOldification, and Super Resolution(fast.ai)
1 points by citnaj 7y ago|1 comments
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by citnaj 8y ago
OMG dude that's such an accurate description of my life at that time.
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by citnaj 8y ago
Very cool project. And 11th grade!?! Wow....I definitely wasn't doing anything like this at that age. Something that came to mind as a potential way to get clearer and more realistic results is to add GAN loss. You can reference thi
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by citnaj 8y ago
That is exciting! I'll be watching on Twitter :)
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by citnaj 8y ago
>"More recently, there is a shift towards using a Transformer architecture, and right now I’m experimenting with that as well." I'm really curious- any early results to share on that? Attention really does make a big diffe
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Colorizing and Restoring Old Images with Deep Learning(blog.floydhub.com)
2 points by citnaj 8y ago|0 comments
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by citnaj 8y ago
Update: I got this working, and dude- it's so awesome in every way. This is the most substantial improvement I've seen yet. Most importantly- it massively reduces memory requirements. Thank you so much. I'll commit withi
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by citnaj 8y ago
Yeah the more I churn over this idea in my head the more excited I get about it. This really sounds like a big win. I'm not sure what I want to do about the Kanban board versus issues tracker yet... I'm used to JIRA mostly. I&#x2
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by citnaj 8y ago
Oh shit yeah that really does look good! Amazing really. Ok...I'm going to put these notes on the project board. Yes..I definitely glossed over the proposed workaround and I apologize. Thanks for this.
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by citnaj 8y ago
That's very interesting to point out Thank you!
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by citnaj 8y ago
I was actually thinking along the same lines because yeah...if you could break this problem down into smaller pieces, it would probably be the most effective way to reduce memory requirements. But I do think that's easier said than do
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by citnaj 8y ago
I should add too, just to be clear- I'm not at all involved in academia.
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by citnaj 8y ago
I understand the frustration and in fact share it to a certain extent with science in general. Keep in mind that this wasn't intended to be published as a paper or anything like that. I'm just a software engineer who picked a pr
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by citnaj 8y ago
Author here. That's actually what I find quite fascinating myself about the results- that they look almost perfect at first glance, yet you drill down a bit closer and you see another "zombie hand". The resolution issue you
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by citnaj 8y ago
LOL I think that'll be my go to excuse for lack of documentation for now on....
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by citnaj 8y ago
Added this to the Known Issues section.
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by citnaj 8y ago
Yeah I tried pointing that out in the Known Issues section by alluding to adjusting the size parameter as a means to get the best images. But I think I'll just go ahead and be crystal clear on the "art of selection" part so
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by citnaj 8y ago
Author here. Easy to answer that one- altering the training photos with random lighting/contrast changes (yet keeping the color targets the same) really helped to deal with varying qualities of photos. But also neural networks are jus
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by citnaj 8y ago
Author here: It's early, and currently resolution is limited primarily by model size. Which drives me nuts. It's one of my top priorities to address because that would be a great improvement. Adding super-resolution to the pip
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by citnaj 8y ago
Author here. Yeah you're basically right. GANs vastly improve the situation though because being safe with "green for grass, blue for sky, brown as default" doesn't work in the Generative-Adversarial setting. The crit
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by citnaj 8y ago
Author here. Yes, it drives me nuts :)
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by citnaj 8y ago
Author here- So I'll just be brutally honest on that one- not all renders are doing that. I cherry picked the one that did that because yeah, it's amazing. There's a simple explanation for why it sometimes doesn't pick