Accelerating Eulerian Fluid Simulation With Convolutional Networks

Jonathan Tompson from Google and his colleagues, Kristofer Schlachter, Pablo Sprechmann and Ken Perlin from the New York University have come up with a really nice technique to teach a convolutional neural network how fluid and smoke simulations work. The project webpage is available here, or you can click on the image below to access the paper.

Status: in progress or under review

(please note that I am in the acknowledgements section and was not a co-author of the paper)

cnnfluid-cover

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