Open chenbomath opened 1 year ago
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:
Normalize your meshes (to a unit sphere for example), and generate UDF samples for them.
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
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?