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Tune simulation #28
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"Bi-directional communication channels allow Blender simulations to adapt during network training" I am very curious how could Blender adapt during network training. Passing model trainable parameter to change the scene settings or... Thank you |
@cheind Thank you for the quick response, I am actually trying to pass physical parameters of Cloth modifier, and trying to optimize them using l2 between modified mesh and GT mesh, In my case, would it also be possible? I am feeling like I need the "modifier" part to be differentiable to do that. |
yes, that would be required, but it probably isn't. You might use one of the gradient estimator 'tricks' to avoid that - reparametrization or score function gradient estimation are keywords. I used the latter to avoid making rending differentiable. |
Hello,
I am wondering how if scene parameter can also become a part of model parameter that can be trained using the data generated by the simulation.
Best,
Yihao
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