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The official implementation of the "HyperPocket: Generative Point Cloud Completion" paper in PyTorch
Hi has anyone been able to train HyperPocket on their own custom dataset? If so, which categories and how well did it perform? Which part of the code needs to be modified? I want to train it to do completion of dense pointclouds of individual trees. Do you think it will work well and how many trees will I need? Can I train it from scratch or will I need to use transfer learning?
Hi, Im trying to use the pretrained weights for my own data but it looks like the pretrained weights you give only have the _model.pth when we would need the _O.pth and the _S.pth. Are those available somewhere or is there a way to only use the _model.pth? Thank you!
Thanks very much for sharing the code. I am also interested in your work. However, most links to your datasets can not be found. Could you please update them? Thanks again. Best.
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