K. S. Ernest (iFire) Lee

vs original  Edited: There's a bias near the center D:

 The bias is removed.

I have to go for now. https://github.com/lucidrains/meshgpt-pytorch/pull/6/files#diff-bb1e7e12bca15c4f2fd0faa464db85f6e8cb35c55454247f94c31bfc1483c3bbR100-R150 See def augment_mesh(self, base_mesh, augment_count, augment_idx): Edited: removed seed

@lucidrains Can you post something for me to extract the resulting mesh from the autoencoder?

You mentioned the topic of overfitting as a first step. I added the Blender monkey as a validation of mesh input through an autoencoder as an initial step. I want...

I was able to train a 1 step that outputs garbage glb 🎉

 I am getting bad mesh results too, but it's trying. The selected is the output, the background is the base mesh.

I am currently at: ``` loss: 1.255 loss: 1.500 loss: 1.786 loss: 1.596 loss: 1.941 loss: 1.583 loss: 1.895 loss: 1.904 ``` So maybe I can dream about 0.200 -...

These are my current settings which is 200 steps. The outlined is the output mesh. You can see my code in the pull request. ``` run = wandb.init( project="meshgpt-pytorch", config={...

You are right that I should ensure that we're in unit square distance and do less augmentations though.