Comments (2)
Stay tuned ;)
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Google just released a paper very similar to this one (diffusion models for depth prediction). They claim being able to predict metric depth if you know camera FOV : https://diffusion-vision.github.io/dmd/
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Related Issues (20)
- Validation Error HOT 1
- Fine-tune the base model HOT 1
- What does the consistent value of 721.5377 represent in eigen_test_files_with_gt.txt? HOT 1
- Questions about LCM model training HOT 3
- noob questions about code understanding. HOT 3
- [HuggingFace] is it possible to fine-tune Marigold using the AutoTrainer on my custom dataset ?
- noisy inference, any idea why ? HOT 5
- Use data sets of different resolutions for training
- Use data sets with different resolutions for training HOT 1
- Validate using data with different resolutions HOT 1
- loss=nan occurs during training HOT 4
- Changed loss function to mean_abs_rel for scale-invariant depth but training is unstable HOT 1
- Release of LCM drop?
- NYUv2 Filled depth map HOT 2
- Wandb logging is always interrupted unexpectedly HOT 1
- About some problems that arise during training HOT 10
- issue with reproducing results in the paper HOT 1
- Is it possible to train the model by feeding it rgb images + 8-bit relative depth maps ? HOT 1
- Muti-GPUs training HOT 1
- Data cannot be read during training HOT 1
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