Fix pipeline tag, add library_name
Browse filesThis PR updates the model card with the correct `pipeline_tag` and adds the `library_name`.
The `pipeline_tag` is changed from `depth-estimation` to `image-to-image` because the model processes an image and outputs a depth map image. The `library_name` is added as `diffusers` to correctly identify the library used for this model. The Hugging Face paper link is already present.
README.md
CHANGED
|
@@ -1,84 +1,85 @@
|
|
| 1 |
-
---
|
| 2 |
-
|
| 3 |
-
|
| 4 |
-
|
| 5 |
-
|
| 6 |
-
|
| 7 |
-
tags:
|
| 8 |
-
- depth estimation
|
| 9 |
-
- image analysis
|
| 10 |
-
- computer vision
|
| 11 |
-
- in-the-wild
|
| 12 |
-
- zero-shot
|
| 13 |
-
|
| 14 |
-
|
| 15 |
-
|
| 16 |
-
|
| 17 |
-
|
| 18 |
-
<
|
| 19 |
-
|
| 20 |
-
|
| 21 |
-
|
| 22 |
-
|
| 23 |
-
|
| 24 |
-
|
| 25 |
-
|
| 26 |
-
|
| 27 |
-
|
| 28 |
-
|
| 29 |
-
|
| 30 |
-
|
| 31 |
-
|
| 32 |
-
|
| 33 |
-
|
| 34 |
-
|
| 35 |
-
|
| 36 |
-
|
| 37 |
-
|
| 38 |
-
|
| 39 |
-
</
|
| 40 |
-
|
| 41 |
-
|
| 42 |
-
|
| 43 |
-
|
| 44 |
-
|
| 45 |
-
- [
|
| 46 |
-
|
| 47 |
-
|
| 48 |
-
|
| 49 |
-
|
| 50 |
-
-
|
| 51 |
-
-
|
| 52 |
-
|
| 53 |
-
|
| 54 |
-
|
| 55 |
-
- **
|
| 56 |
-
- **
|
| 57 |
-
- **
|
| 58 |
-
- **
|
| 59 |
-
|
| 60 |
-
|
| 61 |
-
|
| 62 |
-
- **
|
| 63 |
-
|
| 64 |
-
- **
|
| 65 |
-
- **
|
| 66 |
-
- **
|
| 67 |
-
|
| 68 |
-
|
| 69 |
-
|
| 70 |
-
|
| 71 |
-
|
| 72 |
-
|
| 73 |
-
|
| 74 |
-
|
| 75 |
-
|
| 76 |
-
}
|
| 77 |
-
|
| 78 |
-
|
| 79 |
-
|
| 80 |
-
|
| 81 |
-
|
| 82 |
-
|
| 83 |
-
}
|
| 84 |
-
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
language:
|
| 3 |
+
- en
|
| 4 |
+
license: openrail++
|
| 5 |
+
library_name: diffusers
|
| 6 |
+
pipeline_tag: image-to-image
|
| 7 |
+
tags:
|
| 8 |
+
- depth estimation
|
| 9 |
+
- image analysis
|
| 10 |
+
- computer vision
|
| 11 |
+
- in-the-wild
|
| 12 |
+
- zero-shot
|
| 13 |
+
pinned: true
|
| 14 |
+
---
|
| 15 |
+
|
| 16 |
+
<h1 align="center">Marigold Depth v1-1 Model Card</h1>
|
| 17 |
+
|
| 18 |
+
<p align="center">
|
| 19 |
+
<a title="Image Depth" href="https://huggingface.co/spaces/prs-eth/marigold" target="_blank" rel="noopener noreferrer" style="display: inline-block;">
|
| 20 |
+
<img src="https://img.shields.io/badge/%F0%9F%A4%97%20Image%20Depth%20-Demo-yellow" alt="Image Depth">
|
| 21 |
+
</a>
|
| 22 |
+
<a title="diffusers" href="https://huggingface.co/docs/diffusers/using-diffusers/marigold_usage" target="_blank" rel="noopener noreferrer" style="display: inline-block;">
|
| 23 |
+
<img src="https://img.shields.io/badge/%F0%9F%A4%97%20diffusers%20-Integration%20🧨-yellow" alt="diffusers">
|
| 24 |
+
</a>
|
| 25 |
+
<a title="Github" href="https://github.com/prs-eth/marigold" target="_blank" rel="noopener noreferrer" style="display: inline-block;">
|
| 26 |
+
<img src="https://img.shields.io/github/stars/prs-eth/marigold?label=GitHub%20%E2%98%85&logo=github&color=C8C" alt="Github">
|
| 27 |
+
</a>
|
| 28 |
+
<a title="Website" href="https://marigoldcomputervision.github.io/" target="_blank" rel="noopener noreferrer" style="display: inline-block;">
|
| 29 |
+
<img src="https://img.shields.io/badge/%E2%99%A5%20Project%20-Website-blue" alt="Website">
|
| 30 |
+
</a>
|
| 31 |
+
<a title="arXiv" href="https://arxiv.org/abs/2505.09358" target="_blank" rel="noopener noreferrer" style="display: inline-block;">
|
| 32 |
+
<img src="https://img.shields.io/badge/%F0%9F%93%84%20Read%20-Paper-AF3436" alt="arXiv">
|
| 33 |
+
</a>
|
| 34 |
+
<a title="Social" href="https://twitter.com/antonobukhov1" target="_blank" rel="noopener noreferrer" style="display: inline-block;">
|
| 35 |
+
<img src="https://img.shields.io/twitter/follow/:?label=Subscribe%20for%20updates!" alt="Social">
|
| 36 |
+
</a>
|
| 37 |
+
<a title="License" href="https://huggingface.co/stabilityai/stable-diffusion-2/blob/main/LICENSE-MODEL" target="_blank" rel="noopener noreferrer" style="display: inline-block;">
|
| 38 |
+
<img src="https://img.shields.io/badge/License-OpenRAIL++-929292" alt="License">
|
| 39 |
+
</a>
|
| 40 |
+
</p>
|
| 41 |
+
|
| 42 |
+
This is a model card for the `marigold-depth-v1-1` model for monocular depth estimation from a single image.
|
| 43 |
+
The model is fine-tuned from the `stable-diffusion-2` [model](https://huggingface.co/stabilityai/stable-diffusion-2) as
|
| 44 |
+
described in our papers:
|
| 45 |
+
- [CVPR'2024 paper](https://arxiv.org/abs/2312.02145) titled "Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation"
|
| 46 |
+
- [Journal extension](https://huggingface.co/papers/2505.09358) titled "Marigold: Affordable Adaptation of Diffusion-Based Image Generators for Image Analysis"
|
| 47 |
+
|
| 48 |
+
### Using the model
|
| 49 |
+
|
| 50 |
+
- Play with the interactive [Hugging Face Spaces demo](https://huggingface.co/spaces/prs-eth/marigold): check out how the model works with example images or upload your own.
|
| 51 |
+
- Use it with [diffusers](https://huggingface.co/docs/diffusers/using-diffusers/marigold_usage) to compute the results with a few lines of code.
|
| 52 |
+
- Get to the bottom of things with our [official codebase](https://github.com/prs-eth/marigold).
|
| 53 |
+
|
| 54 |
+
## Model Details
|
| 55 |
+
- **Developed by:** [Bingxin Ke](http://www.kebingxin.com/), [Kevin Qu](https://ch.linkedin.com/in/kevin-qu-b3417621b), [Tianfu Wang](https://tianfwang.github.io/), [Nando Metzger](https://nandometzger.github.io/), [Shengyu Huang](https://shengyuh.github.io/), [Bo Li](https://www.linkedin.com/in/bobboli0202), [Anton Obukhov](https://www.obukhov.ai/), [Konrad Schindler](https://scholar.google.com/citations?user=FZuNgqIAAAAJ).
|
| 56 |
+
- **Model type:** Generative latent diffusion-based affine-invariant monocular depth estimation from a single image.
|
| 57 |
+
- **Language:** English.
|
| 58 |
+
- **License:** [CreativeML Open RAIL++-M License](https://huggingface.co/stabilityai/stable-diffusion-2/blob/main/LICENSE-MODEL).
|
| 59 |
+
- **Model Description:** This model can be used to generate an estimated depth map of an input image.
|
| 60 |
+
- **Resolution**: Even though any resolution can be processed, the model inherits the base diffusion model's effective resolution of roughly **768** pixels.
|
| 61 |
+
This means that for optimal predictions, any larger input image should be resized to make the longer side 768 pixels before feeding it into the model.
|
| 62 |
+
- **Steps and scheduler**: This model was designed for usage with the **DDIM** scheduler and between **1 and 50** denoising steps.
|
| 63 |
+
- **Outputs**:
|
| 64 |
+
- **Affine-invariant depth map**: The predicted values are between 0 and 1, interpolating between the near and far planes of the model's choice.
|
| 65 |
+
- **Uncertainty map**: Produced only when multiple predictions are ensembled with ensemble size larger than 2.
|
| 66 |
+
- **Resources for more information:** [Project Website](https://marigoldcomputervision.github.io/), [Paper](https://arxiv.org/abs/2505.09358), [Code](https://github.com/prs-eth/marigold).
|
| 67 |
+
- **Cite as:**
|
| 68 |
+
|
| 69 |
+
```bibtex
|
| 70 |
+
@misc{ke2025marigold,
|
| 71 |
+
title={Marigold: Affordable Adaptation of Diffusion-Based Image Generators for Image Analysis},
|
| 72 |
+
author={Bingxin Ke and Kevin Qu and Tianfu Wang and Nando Metzger and Shengyu Huang and Bo Li and Anton Obukhov and Konrad Schindler},
|
| 73 |
+
year={2025},
|
| 74 |
+
eprint={2505.09358},
|
| 75 |
+
archivePrefix={arXiv},
|
| 76 |
+
primaryClass={cs.CV}
|
| 77 |
+
}
|
| 78 |
+
|
| 79 |
+
@InProceedings{ke2023repurposing,
|
| 80 |
+
title={Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation},
|
| 81 |
+
author={Bingxin Ke and Anton Obukhov and Shengyu Huang and Nando Metzger and Rodrigo Caye Daudt and Konrad Schindler},
|
| 82 |
+
booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
|
| 83 |
+
year={2024}
|
| 84 |
+
}
|
| 85 |
+
```
|