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I just want to quickly inquire about Midas depth prediction. The original midas approach seems to predict disparity or inverse depth, rather than euclidean depth: isl-org/MiDaS#42.
However, as far as I can tell, the rendered depth map is based on z-values distance, not inverse depth. Thus, is your MiDaS model pretrained on depth? Thanks.
The text was updated successfully, but these errors were encountered:
We use pretrained Midas network. We optimize NSFF in ndc space as original NeRF, and the depth in NDC space is equal to negative disparity in Euclidean space up to scale and shift as derived in https://www.cs.cornell.edu/~zl548/NSFF/NSFF_supp.pdf
Hi,
I just want to quickly inquire about Midas depth prediction. The original midas approach seems to predict disparity or inverse depth, rather than euclidean depth: isl-org/MiDaS#42.
However, as far as I can tell, the rendered depth map is based on z-values distance, not inverse depth. Thus, is your MiDaS model pretrained on depth? Thanks.
The text was updated successfully, but these errors were encountered: