---
title: Marigold Intrinsic Image Decomposition
emoji: 🏵️
colorFrom: purple
colorTo: blue
sdk: gradio
sdk_version: 4.44.1
app_file: app.py
pinned: true
license: cc-by-sa-4.0
hf_oauth: true
hf_oauth_expiration_minutes: 43200
---

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 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}
}
```