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If you want to see the same thing done 18 years ago without new-age machine learning, read https://www.mrl.nyu.edu/projects/image-analogies/index.html https://w
by ebg13 8y ago
If you want to see the same thing done 18 years ago without new-age machine learning, read https://www.mrl.nyu.edu/projects/image-analogies/index.html https://www.mrl.nyu.edu/projects/image-analogies/index.html IMO the most elegant vision/graphics algorithm ever written.
Specifically this is the "texture-by-numbers" application. Ex: https://www.mrl.nyu.edu/projects/image-analogies/potomac.html https://www.mrl.nyu.edu/projects/image-analogies/potomac.htm...
Every single fancypants application of neural nets in graphics today is a retread of one of the applications of the Image Analogies algorithm.
- llukas 8y agoThis is not same: "we first label a photograph or painting by hand to indicate its component textures. We then give a new labeling, from which the analogies algorithm produces a new photograph" DL approach generalizes over many images and can derive some some "idea" of how given class should look like (ie. a tree)
- knolan 8y agoIs it really the same thing? The method you cite is a type of style transfer. Input sharp focused image and you get a blurrier version out with the required style. You’re removing information with a particular type of convolution. The nvidia version seems to inpaint new details into the user segmented areas, like a collage of sorts.
- pmayrgundter 8y agoWow, thanks for sharing!