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README.md
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<!-- # DepthMaster: Taming Diffusion Models for Monocular Depth Estimation
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[Tianzhu Zhang](http://staff.ustc.edu.cn/~tzzhang/)
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[Peng-Tao Jiang](https://pengtaojiang.github.io/) -->
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<div align="center">
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</div>
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<!-- We present Marigold, a diffusion model, and associated fine-tuning protocol for monocular depth estimation. Its core principle is to leverage the rich visual knowledge stored in modern generative image models. Our model, derived from Stable Diffusion and fine-tuned with synthetic data, can zero-shot transfer to unseen data, offering state-of-the-art monocular depth estimation results. -->
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---
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license: apache-2.0
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language:
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- en
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base_model:
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- stabilityai/stable-diffusion-2
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pipeline_tag: depth-estimation
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---
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<!-- # DepthMaster: Taming Diffusion Models for Monocular Depth Estimation
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[Tianzhu Zhang](http://staff.ustc.edu.cn/~tzzhang/)
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[Peng-Tao Jiang](https://pengtaojiang.github.io/) -->
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<div align="center">
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<a href='https://arxiv.org/abs/2501.02576'>
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<img src='https://img.shields.io/badge/Paper-arXiv-red'>
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</a>
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<a href='https://indu1ge.github.io/DepthMaster_page/'>
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<img src='https://img.shields.io/badge/Project-Page-Green'>
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</a>
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<a href='https://github.com/indu1ge/DepthMaster'>
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<img src='https://img.shields.io/badge/GitHub-Repository-blue?logo=github'>
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</a>
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<a href='https://www.apache.org/licenses/LICENSE-2.0'>
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<img src='https://img.shields.io/badge/License-Apache--2.0-929292'>
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</a>
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</div>
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<!-- We present Marigold, a diffusion model, and associated fine-tuning protocol for monocular depth estimation. Its core principle is to leverage the rich visual knowledge stored in modern generative image models. Our model, derived from Stable Diffusion and fine-tuned with synthetic data, can zero-shot transfer to unseen data, offering state-of-the-art monocular depth estimation results. -->
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