Comments (4)
Hi, we used voxels instead of TDF for supervision. Could you point me to the issue that mentioned we used TDF so that I could further clarify on this confusion? Thanks.
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Thanks for getting back to me @xiumingzhang.
It was mentioned on issue #46 that TDFs were used for supervision. If possible, I would be grateful if you mention the voxelization tool that was used or provide a piece of code for it.
Bests,
Aria
from genre-shapehd.
Oh there, by "TDF" what we really meant is "voxels with values in [0, 1], as opposed to binary voxel values." Sorry for the confusion, and please feel free to reopen if you have more questions.
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I computed view-centered binary voxels using the binvox and then converted them to npz files. The way I do view-centered supervision is fixing the camera at a constant distance from the origin and then I rotate the object and get the renders for different views. I tried training marrnet 2 with the default settings for 100 epochs and the loss for the last 10s of epochs oscillated around 0.05. I then tried finetuning the marrnet using the pre-trained marrnet1 network, but the reconstruction results are not looking good at all!
I have attached the predicted output for a sample shape and also provided the voxel and depth maps used for training.
Thanks for your help.
samples.zip
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