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Official repository for the paper

Graphics2RAW: Mapping Computer Graphics Images to Sensor RAW Images @ICCV'23

Donghwan Seo, Abhijith Punnappurath, Luxi Zhao, Abdelrahman Abdelhamed, Sai Kiran Tedla, Sanguk Park, Jihwan Choe, and Michael S. Brown

Samsung Electronics, Samsung AI Center Toronto

paper supplement

alt text

Getting Started

  • The code was tested on Ubuntu 18.04, Python3.7, CUDA 11.3, cuDNN 8.2, Pytorch 1.10
  • The code may work in other environments
  • Install requirements
    pip install -r requirements.txt
    

Dataset

Our graphics dataset can be downloaded from here.

Convert graphics images to RAW images

python3 -m data_generation.package_exr_to_dng_graphics2raw --exr_folder_path path/to/graphics2RAW-dataset

Downstream Tasks

Data generation, training and testing instructions for the downstream tasks:

Citation

If you use this code or the associated data, please cite the paper:

@InProceedings{Seo_2023_ICCV,
    author    = {Seo, Donghwan and Punnappurath, Abhijith and Zhao, Luxi and Abdelhamed, Abdelrahman and Tedla, Sai Kiran and Park, Sanguk and Choe, Jihwan and Brown, Michael S.},
    title     = {Graphics2RAW: Mapping Computer Graphics Images to Sensor RAW Images},
    booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
    month     = {October},
    year      = {2023},
    pages     = {12622-12631}
}

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