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pytorch implementation of >>Patch-base progressive 3D Point Set Upsampling<<

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Hello, it's very nice for me to appreciate your approach! I get some problems when studying your code... I've learnt that the multi-step end-to-end training was used, but I didn't...

I notice that in hdf5 file provided, each scale has fixed number of points, say poission_10000 has 10000 points. However, when I tried poission disk sampling with 10000 points, I...

Has anyone met this problem? I followed the instruction but I encountered this problem when I tried to test the main.py

When I tried to train, it showed that RuntimeError: cublas runtime error : the GPU program failed to execute at /pytorch/aten/src/THC/THCBlas.cu:441 Can anyone help?

I can't download pretrained model & dataset.