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Suprisingly, compared with the pretrained models you offered, I got much worse results of generate_training_meshes.py.
Did you just follow the code of DeepSDF and simply run the code?
Just another minor issue, I found that the pretrained latent code you offered has different length with the training data (2788 vs 2807). If I understand correctly, the latent code should be one-to-one corresponding to training shapes.
Thanks!
The text was updated successfully, but these errors were encountered:
Hi, thanks for the great work!
Following the repo of DeepSDF https://github.com/facebookresearch/DeepSDF, I preprocess the ShapeNetV2 data and train the network on Car category.
Suprisingly, compared with the pretrained models you offered, I got much worse results of
generate_training_meshes.py
.Did you just follow the code of DeepSDF and simply run the code?
Just another minor issue, I found that the pretrained latent code you offered has different length with the training data (2788 vs 2807). If I understand correctly, the latent code should be one-to-one corresponding to training shapes.
Thanks!
The text was updated successfully, but these errors were encountered: