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Thank you for your excellent work. The training results are very good. I have another question. Since PGSR can already render depth maps and normal vectors, can the current code add single-purpose depth or normal losses to constrain more accurate model generation?
The text was updated successfully, but these errors were encountered:
It depends on the generalization ability of the pretrained depth or normal models.
From my perspective, in the texture-less areas or some ambiguous areas, using the prior of the pretrained normal or depth model may help improve the quality of the surface reconstruction.
Thank you for your excellent work. The training results are very good. I have another question. Since PGSR can already render depth maps and normal vectors, can the current code add single-purpose depth or normal losses to constrain more accurate model generation?
The text was updated successfully, but these errors were encountered: