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Thanks for answering the previous issue. Yes, It helped me to have clear view on the issue.
In your code, the downsampling and upsampling are being done before training the data. I have been working on this from past few days. I am working on noise removal from 3D mesh and want my network to learn vertices which need to be removed. Are there other techniques to downsample the data since currently vertex quadrics cost has been evaluated and valid vertices along with faces are generated before training.
Or should I downsample it while running the network and through loss network should detect the vertices and calculate faces that are valid.
I am new to 3D convolutional networks, requesting if you can guide.
Thanks and Regards
Veronica
The text was updated successfully, but these errors were encountered:
Hi Anurag,
Thanks for answering the previous issue. Yes, It helped me to have clear view on the issue.
In your code, the downsampling and upsampling are being done before training the data. I have been working on this from past few days. I am working on noise removal from 3D mesh and want my network to learn vertices which need to be removed. Are there other techniques to downsample the data since currently vertex quadrics cost has been evaluated and valid vertices along with faces are generated before training.
Or should I downsample it while running the network and through loss network should detect the vertices and calculate faces that are valid.
I am new to 3D convolutional networks, requesting if you can guide.
Thanks and Regards
Veronica
The text was updated successfully, but these errors were encountered: