AutoSDF
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per shape or per category normalization ?
Hello @yccyenchicheng , Thanks for sharing the code of your wonderful work. In the original DISN code, there are two normalization ways, per-shape used in create_point_sdf_grid and per-category used in create_point_sdf_fullgrid.py. From your code, it seems you are using per-shape normalization before calculating SDF values, right? Why did you choose the per-shape one? Could you please elaborate more on your choice?
We want to normalize such that the shape is located at the center (0, 0, 0) to ease the training of AE and the transformers. I think a analogy in 2D face image synthesis is the alignment with the eyes. It would be great if we can validate if this really helps the training.
I hope that makes sense!