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README.md
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language:
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- en
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license: openrail++
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library_name: diffusers
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pipeline_tag: image-to-image
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tags:
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- depth estimation
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- image analysis
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This is a model card for the `marigold-depth-v1-1` model for monocular depth estimation from a single image.
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The model is fine-tuned from the `stable-diffusion-2` [model](https://huggingface.co/stabilityai/stable-diffusion-2) as
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described in our papers:
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- [CVPR'2024 paper](https://
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- [Journal extension](https://
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### Using the model
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-
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- 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.
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- Use it with [diffusers](https://huggingface.co/docs/diffusers/using-diffusers/marigold_usage) to compute the results with a few lines of code.
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- Get to the bottom of things with our [official codebase](https://github.com/prs-eth/marigold).
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language:
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- en
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license: openrail++
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pipeline_tag: image-to-image
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library_name: diffusers
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tags:
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- depth estimation
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- image analysis
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This is a model card for the `marigold-depth-v1-1` model for monocular depth estimation from a single image.
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The model is fine-tuned from the `stable-diffusion-2` [model](https://huggingface.co/stabilityai/stable-diffusion-2) as
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described in our papers:
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+
- [CVPR'2024 paper](https://hf.co/papers/2312.02145) titled "Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation"
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- [Journal extension](https://hf.co/papers/2505.09358) titled "Marigold: Affordable Adaptation of Diffusion-Based Image Generators for Image Analysis"
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### Using the model
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- 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.
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- Use it with [diffusers](https://huggingface.co/docs/diffusers/using-diffusers/marigold_usage) to compute the results with a few lines of code.
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- Get to the bottom of things with our [official codebase](https://github.com/prs-eth/marigold).
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