EKILA: Synthetic Media Provenance and Attribution for Generative Art

Kar Balan, Shruti Agarwal, Simon Jenni, Andy Parsons, Andrew Gilbert, John P. Collomosse

CVPRW 2023 pp. 913-922

doi:10.1109/CVPRW59228.2023.00098 /cvprw/2023/balan2023cvprw-ekila/

Abstract

We present EKILA; a decentralized framework that enables creatives to receive recognition and reward for their contributions to generative AI (GenAI). EKILA proposes a robust visual attribution technique and combines this with an emerging content provenance standard (C2PA) to address the problem of synthetic image provenance – determining the generative model and training data responsible for an AI-generated image. Furthermore, EKILA extends the non-fungible token (NFT) ecosystem to introduce a tokenized representation for rights, enabling a triangular relationship between the asset’s Ownership, Rights, and Attribution (ORA). Leveraging the ORA relationship enables creators to express agency over training consent and, through our attribution model, to receive apportioned credit, including royalty payments for the use of their assets in GenAI.

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Text

Balan et al. "EKILA: Synthetic Media Provenance and Attribution for Generative Art." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2023. doi:10.1109/CVPRW59228.2023.00098

Markdown

[Balan et al. "EKILA: Synthetic Media Provenance and Attribution for Generative Art." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2023.](https://mlanthology.org/cvprw/2023/balan2023cvprw-ekila/) doi:10.1109/CVPRW59228.2023.00098

BibTeX

@inproceedings{balan2023cvprw-ekila,
  title     = {{EKILA: Synthetic Media Provenance and Attribution for Generative Art}},
  author    = {Balan, Kar and Agarwal, Shruti and Jenni, Simon and Parsons, Andy and Gilbert, Andrew and Collomosse, John P.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2023},
  pages     = {913-922},
  doi       = {10.1109/CVPRW59228.2023.00098},
  url       = {https://mlanthology.org/cvprw/2023/balan2023cvprw-ekila/}
}