Data-driven synthesis of smoke flows with CNN-based feature descriptors
Data-driven synthesis of smoke flows with CNN-based feature descriptors
We present a novel data-driven algorithm to synthesize high resolution flow simulations with reusable repositories of space-time flow data. In our work, we employ a descriptor learning approach to encode the similarity between fluid regions with differences in resolution and numerical viscosity. We use convolutional neural networks to generate the …