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Running
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Zero
title: Marigold Depth Estimation | |
emoji: 🏵️ | |
colorFrom: blue | |
colorTo: red | |
sdk: gradio | |
sdk_version: 3.44.4 | |
app_file: app.py | |
pinned: true | |
license: cc-by-sa-4.0 | |
This is a demo of the monocular depth estimation pipeline, described in the paper titled ["Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation"](https://arxiv.org/abs/2312.02145) | |
``` | |
@misc{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}, | |
year={2023}, | |
eprint={2312.02145}, | |
archivePrefix={arXiv}, | |
primaryClass={cs.CV} | |
} | |
``` | |