microsoft / microsoft/MoGe

About training supervision for depth values

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Description

Hi,

Excellent work, thanks for the detailed paper and prompt model release! I found the paper very insightful, and the results are remarkable across various datasets and tasks.

I have a question regarding the supervision signals used during training, particularly for depth values.

Whether the training process used relative depth ground truth (affine-invariant) or absolute metric depth for supervision?

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Research direction

The issue concerns training supervision for depth values in MoGe. Start by checking the detailed paper and prompt model release for whether supervision used affine-invariant relative depth or absolute metric depth. Done when the answer is provided or documented.

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Assessment

Domain
computer-vision, machine-learning
Issue type
Documentation
Difficulty
2/5
Estimated time
1-3 hours
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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