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Hi, sir.
Thanks for great work and opened source for sharing.
I'm also looking into monocular depth estimation and have a question about tile-based depth estimation approach.
In section 3.1.(iii), there's about inconsistency issue of tile-based approach.
(iii) Fusion and Guided Fusion Network: To resolve the inconsistency issues with patch-wise prediction, our goal in this step is to transfer the global information from the coarse depth obtained in (i) to the patch-wise predictions without compromising their higher details. While the transfer could be implemented by simply learning a pix2pix U-Net [27, 34], our key idea is to exploit the multi-scale features ...
I know you proposed a G2L module for this and it's the novel point of this paper, but I was also interested in the pix2pix approach. How can I resolve this issue with pix2pix U-Net? May I know approach to this?
Thanks.
The text was updated successfully, but these errors were encountered:
Hi, sir.
Thanks for great work and opened source for sharing.
I'm also looking into monocular depth estimation and have a question about tile-based depth estimation approach.
In section 3.1.(iii), there's about inconsistency issue of tile-based approach.
I know you proposed a G2L module for this and it's the novel point of this paper, but I was also interested in the pix2pix approach. How can I resolve this issue with pix2pix U-Net? May I know approach to this?
Thanks.
The text was updated successfully, but these errors were encountered: