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| title: Marigold Depth Completion | |
| emoji: 🏵️ | |
| colorFrom: blue | |
| colorTo: red | |
| sdk: gradio | |
| sdk_version: 4.44.1 | |
| app_file: app.py | |
| pinned: true | |
| license: apache-2.0 | |
| models: | |
| - prs-eth/marigold-v1-0 | |
| This is a demo of the monocular depth completion pipeline, based on the CVPR 2024 paper titled ["Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation"](https://arxiv.org/abs/2312.02145) | |
| ``` | |
| @InProceedings{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}, | |
| booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, | |
| year={2024} | |
| } | |
| ``` | |