You can now find a second mantaflow-tensorflow tutorial on our webpage. It explains the example0 code of mantaflow, which represents an example that’s as simple as possible: a very simple mantaflow scene that generates some flow data, and a simple tensorflow setup that trains a simple neural network with this data.
Despite its simplicity, it contains all the important parts: data wrangling, network training, and result generation. Also, it’ll demonstrate how much you can get out of a fifty-dimensional latent space from a simple NN auto encoder.
Curious how these weird wisps of smoke were created? Check out the full tutorial here..
