Comments (1)
The model is fairly heavy, but it obviously depends on the amount of RAM in your card. We haven't experimented with larger image resolutions. If you are looking for a higher resolution result, you might try upsampling the output using some kind of image-guided filter like https://johanneskopf.de/publications/jbu/
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Related Issues (20)
- typo in instruction HOT 1
- CPU Support HOT 3
- Camera pose and intrinsics estimation at inference time HOT 2
- Colmap Patch matching settings HOT 2
- Code to generate depth maps from Youtube videos HOT 1
- How to generate HDF5 data?
- RuntimeError: unexpected EOF, expected 109330 more bytes. The file might be corrupted.
- Clarifications on training pipeline HOT 2
- Running on custom videos HOT 3
- thank you for your work~when do you offer the training code? HOT 12
- Could I get more detail about object insertion from depth-based visual effect part?
- training data
- will you share the MannequinChallenge Dataset? HOT 2
- Would you like to share the initial depth estimation methods? HOT 3
- Some of the video in the datasets become unavailable HOT 5
- Inference Performance HOT 2
- How to get the camera intrinsic parameters from the original YouTube wild videos? HOT 1
- Output depth data format HOT 5
- Inference of the multi-view model - guidance required HOT 6
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