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metadata
license: other
license_name: ubisoft-machine-learning-license-research-only-copyleft
license_link: LICENSE
datasets:
  - gvecchio/MatSynth

Chord: Chain of Rendering Decomposition for PBR Material Estimation from Generated Texture Images

arXiv Project Page Demo

Zhi Ying*, Boxiang Rong*, Jingyu Wang, Maoyuan Xu

teaser

Official implementation of the paper "Chord: Chain of Rendering Decomposition for PBR Material Estimation from Generated Texture Images".

Setup environment

  1. Clone github repo:

    git clone https://github.com/ubisoft/ubisoft-laforge-chord
    cd ubisoft-laforge-chord
    
  2. Install dependencies. The example below uses uv to manage the virtual environment:

    # Get Python environment
    uv venv --python 3.12
    
    # On Linux/WSL
    source .venv/bin/activate
    
    # Or on Windows
    .venv\Scripts\activate
    
    # If you encounter the following error on Windows:
    # File .venv\Scripts\activate.ps1 cannot be loaded because running scripts is disabled on this system
    # Run the command: Set-ExecutionPolicy -Scope Process -ExecutionPolicy Bypass
    
    # Install dependencies
    uv pip install torch torchvision --index-url https://download.pytorch.org/whl/cu128
    uv pip install -r requirements.txt
    
  3. Agree to the model's term from here, then log in:

    huggingface-cli login
    
  4. (Optional) Install Gradio for running demo locally:

    uv pip install gradio
    

Usage example

Run test:

python test.py --input-dir examples

Run the Gradio demo locally:

python demo_gradio.py

License

This project is released under the Ubisoft Machine Learning License (Research-Only - Copyleft). See the full terms in the LICENSE file.

Citation

If you find our work useful, please consider citing:

@misc{ying2025chord,
    title={Chord: Chain of Rendering Decomposition for PBR Material Estimation from Generated Texture Images}, 
    author={Zhi Ying and Boxiang Rong and Jingyu Wang and Maoyuan Xu},
    year={2025},
    eprint={2509.09952},
    archivePrefix={arXiv},
    primaryClass={cs.GR},
    url={https://arxiv.org/abs/2509.09952}, 
}

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