A Multi-Pass GAN for Fluid Flow Super-Resolution

4 Jun 2019Maximilian WerhahnYou XieMengyu ChuNils Thuerey

We propose a novel method to up-sample volumetric functions with generative neural networks using several orthogonal passes. Our method decomposes generative problems on Cartesian field functions into multiple smaller sub-problems that can be learned more efficiently... (read more)

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