Comments (2)
Thanks for your interest in our code!
The _l2_loss
employed here is just for logging purposes and not for training. To use the L2 loss in training, you'll have to pass in l2_loss
as an argument --loss l2_loss
.
The API / logic around here is a bit confusing (and suboptimal in terms of training perf) though so I'm planning to push some code soon to make some of this stuff a bit more streamlined.
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Thanks a lot for your patience. I just found this fact. And I found you have replied me.
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Related Issues (20)
- mesh2sdf errors HOT 6
- Crash using Kaolin SPC HOT 2
- Building sol-rendere: CMAKE_CUDA_COMPILER not set, after EnableLanguage
- Render OBJ files HOT 2
- Question about modeling a 3d shape using marching cube HOT 5
- Question about generate parents in create_trinkets.
- Installation Help HOT 2
- Rendering on Mobile
- The accuracy of predicted sdf function
- ModuleNotFoundError: No module named 'sol_nglod'
- Mismatched model size for different LODs HOT 1
- Args to Export .npz File HOT 4
- Can't export .npz files HOT 1
- abbreviation problem HOT 1
- Can you share chamfer distance evaluation code for SPC part?
- Training with surface normal / sdf gradient supervision HOT 1
- Storage problem of your paper HOT 2
- About rendering 3D models HOT 1
- Building CUDA extensions failed HOT 1
- ShapeNet150 data HOT 2
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