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Agree. This appears to be more a clever implementation of an algorithm generating "artistic" impressions. In some cases, creating artifacts which simply were no
by SeanDav 9y ago
Agree. This appears to be more a clever implementation of an algorithm generating "artistic" impressions. In some cases, creating artifacts which simply were not part of the original picture.
- doomlaser 9y agoThe term in neural net research is 'face hallucination': https://people.csail.mit.edu/celiu/FaceHallucination/fh.html https://people.csail.mit.edu/celiu/FaceHallucination/fh.html Take a low resolution input image, and hallucinate a higher resolution version by statistically assembling bits from similar images in a large data set of training images.
- phkahler 9y agoIf anyone ever tries to use this in court I hope they call it "Face Hallucination" and not "Image Reconstruction". On the research side, I wonder what the point of this is. I find it interesting but of little practical value.
- aristus 9y agoIt's a way to refine their models. A systematic model-based representation of data is basically also a generator of that data. Why is that? Blame Kolmogorov. There are deep connections between compression, serialization, and computation. An optimal compression scheme is a serialization and the Turing-complete program to decode it. For example: you can compress pi into a few lines of algorithm plus a starting constant like 4.