Spaces:
Running on Zero
Running on Zero
|
Download README.md from prs-eth/marigold: direct link, hf CLI and curl.
- Browser
- Download file 1.14 kB
-
https://huggingface.co/spaces/prs-eth/marigold/resolve/main/README.md
- Command line
-
hf download hf://spaces/prs-eth/marigold/README.md
-
curl -L -o README.md https://huggingface.co/spaces/prs-eth/marigold/resolve/main/README.md
1.14 kB
A newer version of the Gradio SDK is available: 6.31.0
metadata
title: Marigold Depth Estimation
emoji: 🏵️
colorFrom: blue
colorTo: red
sdk: gradio
sdk_version: 5.29.0
app_file: app.py
pinned: true
license: apache-2.0
models:
- prs-eth/marigold-depth-v1-1
This is a demo of the monocular depth estimation pipeline, described in the CVPR 2024 paper titled "Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation"
@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}
}
@misc{ke2025marigold,
title={Marigold: Affordable Adaptation of Diffusion-Based Image Generators for Image Analysis},
author={Bingxin Ke and Kevin Qu and Tianfu Wang and Nando Metzger and Shengyu Huang and Bo Li and Anton Obukhov and Konrad Schindler},
year={2025},
eprint={2505.09358},
archivePrefix={arXiv},
primaryClass={cs.CV}
}