conditional-flow-matching
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I have a simple question for generating samples...
I am getting a lot of help from this project. Thank you! I have one question. Is the method for generating samples(ex images) with models trained using the FM framework the same as that of basic CFM and Exact OT CFM? I wonder if it is possible to sample in the same way (e.g., Euler or Midpoint) even when using Exact OT CFM. Currently, this project seems to be using something called NeuralODE from torchdyn, but it's difficult to understand because it's wrapped like this. If I use Exact OT CFM, do I need to start with noise that has been sampled using the Exact OT sampler?