prs-eth/marigold-disparity-affine-v0-1

<h1 align="center">Marigold Disparity v0.1 Model Card</h1>

<p align="center"> <a title="Image Depth" href="https://huggingface.co/spaces/prs-eth/marigold" target="blank" rel="noopener noreferrer" style="display: inline-block;"> <img src="https://img.shields.io/badge/%F0%9F%A4%97%20Image%20Depth%20-Demo-yellow" alt="Image Depth"> </a> <a title="diffusers" href="https://huggingface.co/docs/diffusers/using-diffusers/marigoldusage" target="blank" rel="noopener noreferrer" style="display: inline-block;"> <img src="https://img.shields.io/badge/%F0%9F%A4%97%20diffusers%20-Integration%20🧨-yellow" alt="diffusers"> </a> <a title="Github" href="https://github.com/prs-eth/marigold" target="blank" rel="noopener noreferrer" style="display: inline-block;"> <img src="https://img.shields.io/github/stars/prs-eth/marigold?label=GitHub%20%E2%98%85&logo=github&color=C8C" alt="Github"> </a> <a title="Website" href="https://marigoldcomputervision.github.io/" target="blank" rel="noopener noreferrer" style="display: inline-block;"> <img src="https://img.shields.io/badge/%E2%99%A5%20Project%20-Website-blue" alt="Website"> </a> <a title="arXiv" href="https://arxiv.org/abs/2505.09358" target="blank" rel="noopener noreferrer" style="display: inline-block;"> <img src="https://img.shields.io/badge/%F0%9F%93%84%20Read%20-Paper-AF3436" alt="arXiv"> </a> <!-- <a title="Social" href="https://twitter.com/antonobukhov1" target="blank" rel="noopener noreferrer" style="display: inline-block;"> <img src="https://img.shields.io/twitter/follow/:?label=Subscribe%20for%20updates!" alt="Social"> </a> --> <a title="License" href="https://huggingface.co/stabilityai/stable-diffusion-2/blob/main/LICENSE-MODEL" target="blank" rel="noopener noreferrer" style="display: inline-block;"> <img src="https://img.shields.io/badge/License-OpenRAIL++-929292" alt="License"> </a> </p>

<!-- This is a model card for the marigold-disparity-affine-v0-1 model for monocular depth estimation from a single image. -->

The model is fine-tuned from the stable-diffusion-2 model as described in our papers, in inverse depth (disparity) space, with "trailing" and "zero-snr": <!-- (trainmarigoldaffinedisparityiter_24000). -->

• —CVPR'2024 paper titled "Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation"
• —Journal extension titled "Marigold: Affordable Adaptation of Diffusion-Based Image Generators for Image Analysis"

Using the model

• —This model is for internal test.
• —Get to the bottom of things with our official codebase.
• —Developed by: Bingxin Ke, Anton Obukhov, Shengyu Huang, Nando Metzger, Rodrigo Caye Daudt, Konrad Schindler.
• —Model type: Generative latent diffusion-based affine-invariant disparity (inverse depth) estimation from a single image.
• —Language: English.
• —License: Apache License License Version 2.0.
• —Cite as:

@misc{ke2025marigold,
  title={Marigold: Affordable Adaptation of Diffusion-Based Image Generators for Image Analysis},
  author={Bingxin Ke and Kevin Qu and Tianfu Wang and Nando Metzger and Shengyu Huang and Bo Li and Anton Obukhov and Konrad Schindler},
  year={2025},
  eprint={2505.09358},
  archivePrefix={arXiv},
  primaryClass={cs.CV}
}

@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}
}