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--- |
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title: Marigold-LCM Depth Estimation |
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emoji: 🏵️ |
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colorFrom: blue |
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colorTo: red |
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sdk: gradio |
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sdk_version: 4.23.0 |
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app_file: app.py |
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pinned: true |
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license: cc-by-sa-4.0 |
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models: |
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- prs-eth/marigold-v1-0 |
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- prs-eth/marigold-lcm-v1-0 |
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--- |
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This is a demo of Marigold-LCM, the state-of-the-art depth estimator for images in the wild. |
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It combines the power of the original Marigold 10-step estimator and the Latent Consistency Models, delivering high-quality results in as little as one step. |
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Find out more in our paper titled ["Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation"](https://arxiv.org/abs/2312.02145) |
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``` |
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@misc{ke2023repurposing, |
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title={Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation}, |
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author={Bingxin Ke and Anton Obukhov and Shengyu Huang and Nando Metzger and Rodrigo Caye Daudt and Konrad Schindler}, |
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year={2023}, |
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eprint={2312.02145}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.CV} |
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} |
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``` |
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