DE-FAKE: Detection and Attribution of Fake Images Generated by Text-to-Image Generation Models

Author:

Sha Zeyang1ORCID,Li Zheng1ORCID,Yu Ning2ORCID,Zhang Yang1ORCID

Affiliation:

1. CISPA Helmholtz Center for Information Security, Saarbrücken, Germany

2. Salesforce Research, Palo Alto, CA, USA

Publisher

ACM

Reference47 articles.

1. James Atwood and Don Towsley. Diffusion-Convolutional Neural Networks. In Annual Conference on Neural Information Processing Systems (NIPS), pages 1993--2001. NIPS, 2016.

2. Steven Bird and Edward Loper. NLTK: The Natural Language Toolkit. In Annual Meeting of the Association for Computational Linguistics (ACL). ACL, 2004.

3. Navaneeth Bodla, Gang Hua, and Rama Chellappa. Semi-supervised FusedGAN for Conditional Image Generation. In European Conference on Computer Vision (ECCV), pages 689--704. Springer, 2018.

4. Learning to See in the Dark

5. Qifeng Chen and Vladlen Koltun. Photographic Image Synthesis with Cascaded Refinement Networks. In IEEE International Conference on Computer Vision (ICCV), pages 1520--1529. IEEE, 2017.

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