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[D] Did somebody tried to apply DeepDream to 3D Convolutions on MIT Places to produce 3D environment models ?

That would likely require a rewrite of the DeepDream code, so it would work on the 3D recognition (convolution-based) systems that would output models, and also it might use an [heavily] edited version of the videoify.py that would progressively build up the depth of the scene (instead of zooming-in, it would be the Z axis in 3D space..). I noted the Places database, because i don’t think the standard Inception would produce good results with this..

submitted by /u/ad48hp
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.