So if I understood well, this GIF shows you - human being - exploring possibilities / limitations of your method, hand tweaking it for one particular image?
That is, the final image, the one that looks the best, is the result of you doing tweaks to doodles to get something that neural net can then fill-in convincingly?
Or are these a different runs of the same method based on the same inputs, that have some natural variability, and you selected the one that looked the best?
Or are these progression steps in one run of the automated algorithm?
Language in the blog post is kinda ambiguous, not sure which steps were done by algorithm and which by a human being.
The algorithm does the same thing every time (it's triggered on request), only the input is changed by the human modifying the doodle—as shown in the video.
The output gets better because through iteration the glitches are removed incrementally, and it converges on a final painting that looks good!
http://nucl.ai/files/2016/03/MonetPainting.gif
That is, the final image, the one that looks the best, is the result of you doing tweaks to doodles to get something that neural net can then fill-in convincingly?
Or are these a different runs of the same method based on the same inputs, that have some natural variability, and you selected the one that looked the best?
Or are these progression steps in one run of the automated algorithm?
Language in the blog post is kinda ambiguous, not sure which steps were done by algorithm and which by a human being.