Marigold icon indicating copy to clipboard operation
Marigold copied to clipboard

[CVPR 2024 - Oral, Best Paper Award Candidate] Marigold: Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation

Results 50 Marigold issues
Sort by recently updated
recently updated
newest added

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...

pass invariance flag through model_index.json support scale-invariant mode

I've been studying the train.py code and I can't figure out this: If we continue resume training from a checkpoint, then we need to retrieve wandb_id from the WAND_ID file...

Hi! I'm trying to train the LCM model. However, the model I trained is worse than the LCM model you released. Could you give more training details about LCM distillation...

Dear Authors, Thank you for presenting this model. It is indeed a good model for downstream tasks. I have used your model for 3D reconstruction on my own data, and...

I am getting the following error in the validation step: AssertionError: Wrong input shape torch.Size([3, 768, 1024]), expected [1, rgb, H, W] In marigold_trainer.py function validate_single_dataset(), the input image is...

I just used the vkitti dataset, RGB data path for autodl - TMP/Marigold - main/vkitti/vkitti tar/vkitti/RGB, The depth data path for autodl - TMP/Marigold - main/vkitti/vkitti tar/vkitti/the depth.When I run...

How to train this code on multi-GPUs?

![image](https://github.com/prs-eth/Marigold/assets/52553731/ef4012be-c523-4814-8a2b-dd8b8400d9f1) My system is Ubantu 20.04.1, and the training environment is GeForce RTX3090, python 3.10, CUDA=11.7. I used the command ```python train.py--config config/train_marigold.yaml --no_wandb ```to start the project and it...