High-Resolution Marigold Depth v1-0 Model Card

This is a model card for the marigold-depth-hr-v1-0 model for monocular depth estimation from a single image. The model is fine-tuned from the marigold-depth-v1-0 model as described in a follow-up of our CVPR'2024 paper titled "Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation".

Model Details

Developed by: Bingxin Ke, Kevin Qu, Tianfu Wang, Nando Metzger, Shengyu Huang, Bo Li, Anton Obukhov, Konrad Schindler.
Model type: Generative latent diffusion-based affine-invariant monocular depth estimation from a single image.
Language: English.
License: Apache License License Version 2.0.
Model Description: This model can be used to generate an estimated depth map of an input image.
- Resolution: The model is designed to support large resolutions up to 4MP.
- Steps and scheduler: This model was designed for usage with the DDIM scheduler and between 10 and 50 denoising steps.
- Outputs:
  - Affine-invariant depth map: The predicted values are between 0 and 1, interpolating between the near and far planes of the model's choice.
Resources for more information: Project Website, Paper, Code.
Cite as:

Placeholder for the citation block of the follow-up paper

@InProceedings{ke2023repurposing,
      title={Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation},
      author={Bingxin Ke and Anton Obukhov and Shengyu Huang and Nando Metzger and Rodrigo Caye Daudt and Konrad Schindler},
      booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
      year={2024}
}