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Approximate to my own garment? #5

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chenbomath opened this issue Jul 6, 2023 · 1 comment
Open

Approximate to my own garment? #5

chenbomath opened this issue Jul 6, 2023 · 1 comment

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@chenbomath
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Hi, thanks for your sharing.
Can I use it to approximate new garment mesh instead of that recovered from the latent space?
If yes, what is the requirement of the garment meshes? And where should I change the code to make it work?

@bguillard
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Hello,
The pretrained network that we share was only trained on 4 different items of garment, and thus has limited generalization capabilities.

If you want to generalize to new garments, you need to train on a larger dataset that covers more items.
For this, you must:

  1. Normalize your meshes (to a unit sphere for example), and generate UDF samples for them.

  2. Train a point cloud encoder + UDF decoder, as we do in DrapeNet, or an auto-decoder as in DeepSDF (but with UDFs this time).

I hope this helps,
Benoit

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