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)
Recent comments
A course on ray tracing and global illumination