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About pretrained weights #8
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Hi, Thanks for your interest in our work. I do expect a run-to-run variance, typically +/- 1, but such a high CD value looks abnormal. The benchmark test is conducted on the ShapeNet data prepared by the CRN paper, in which we have 150 partial shapes for each category. Is that consistent with your settings? Please share more details so that I may have a clue on the abnormality. Thanks, |
Thannks for your reply. For the dataset I used the CRN test dataset and it has 150 partial shapes. And as for the weights I used the weight you offered.
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Are the results too random? |
Hi, Best, |
Dear Dr. Zhang, |
Hi Xiang, The pretrained models are provided in this repo, you can simply download and conduct the inversion(completion). Thanks, |
Hi, thanks for sharing your pretrained weights. I ran code with your weight and follow your step. However, I can't get the same CD loss as your paper reported.
In your paper CD loss on table is 16.2, but I got 20.8.
Is this reasonable? Thanks for your reply in advance.
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