---
title: Marigold Intrinsic Image Decomposition
emoji: 🏵️
colorFrom: purple
colorTo: blue
sdk: gradio
sdk_version: 4.44.1
app_file: app.py
pinned: true
license: apache-2.0
models:
- prs-eth/marigold-iid-appearance-v1-1
- prs-eth/marigold-iid-lighting-v1-1
---

This is a demo of Marigold-IID, the state-of-the-art intrinsic image decomposition model for images in the wild.
We provide two models: 
- Marigold-IID-Appearance which predicts albedo, metallic and roughness 
- Marigold-IID-Lighting which predicts albedo, diffuse shading and non-diffuse residual

Find out more in our paper titled ["Marigold: Affordable Adaptation of Diffusion-Based Image Generators for Image Analysis"](https://arxiv.org/abs/2505.09358)

```
@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}
}
```