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Yes, my point is that that is not good enough. Two problems that I can see: 1. What use cases are there for a photo processing algorithm that only spits out t
by p1necone 8y ago
Yes, my point is that that is not good enough.
Two problems that I can see:
1. What use cases are there for a photo processing algorithm that only spits out tiny thumbnails?
2. If it can output higher resolution images, why are all of the examples tiny thumbnails? You can hide a lot of otherwise obvious flaws with a tiny thumbnail.
- PeterisP 8y agoBecause of computing power issues - training a good model with a significantly higher resolution becomes a lot more expensive. If you're doing a proof of concept or analyzing algorithms, you stick to lower resolutions; at larger resolutions the algorithm (and its effects) are the same, but you just need ten or hundred or thousand times more hardware and/or time.