Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

About Recovering the Depth with Metirc. #28

Open
Magicboomliu opened this issue Dec 30, 2023 · 1 comment
Open

About Recovering the Depth with Metirc. #28

Magicboomliu opened this issue Dec 30, 2023 · 1 comment

Comments

@Magicboomliu
Copy link

Thank you for your outstanding work! It is very impressive to deploy a diffusion pipeline into monocular depth estimation.

As stated in the paper, the model works for affine-invariance depth estimation, since the depth normalization is not revertible, I wonder if I want to recover the depth with metric, what can I do?

In other words, all the affine-invariance depth has a global scale or offset factor, according to the Eq3 of your paper, the d2 and d98 depth values from the given image, which is instance-independent I guess. Is there any method to recover the true depth with the assistance of extra information, like camera intrinsic or stereo images baseline?

@markkua
Copy link
Member

markkua commented May 28, 2024

This recent arxiv paper might be helpful to this question: https://arxiv.org/pdf/2405.15619

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants