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iDisc: Internal Discretization for Monocular Depth Estimation [CVPR 2023]

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Hi, thanks for your great work! I doubt how is (d) Internal discretization in Figure 1 in the paper generated. I infer that the id is the max value of...

Hello, Based on the original function, I added the function of outputting a color depth map to the project code. However, in the kitti data set, using the same picture...

Hi, Thank you for sharing the code and weights. I am trying to load the surface normal estimator using the config and weights linked in https://github.com/SysCV/idisc?tab=readme-ov-file#normals: * https://github.com/SysCV/idisc/blob/main/configs/nyunorm/nyunorm_swinl.json * https://dl.cv.ethz.ch/idisc/checkpoints/nyunormals_swinlarge.pt...

Dear Luigi Piccinelli, I hope this message finds you well. I wanted to express my sincere appreciation for your exceptional article. Inspired by your work, I attempted to train your...

Hi, First of all, congratulations on this great work! I'm evaluating recent Depth Estimation techniques and I'm wondering if you could help me to validate the results. I downloaded your...

Hi thank you for your wonderful work and the zoo. I was performing benchmark evals on SOTA MDE models for my dissertation. I tried to replicate your work in **Google...

Hi, I am performing zero-shot testing for surface normal estimation on KITTI dataset using your iDisc module. In order to understand the results better, I would like to understand how...

Hi, After installation, I tried to run the test.py. But cannot import 'MultiScaleDeformableAttention'. Please help to advise what should I do? Thanks.

Thank you very much for your work. I have already configured the environment, but I don’t know how to use your code to find the depth of a picture. How...

When I see your code, I don't understand steps like: divide for depth scale, choose pixels greater than min depth, ...