ForgeryGPT: A Multimodal LLM for Interpretable Image Forgery Detection and Localization
- DOI
- 10.1109/tip.2026.3735628
- Published
- 2026
- Container
- IEEE Transactions on Image Processing
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/tip.2026.3735628,
title = {ForgeryGPT: A Multimodal LLM for Interpretable Image Forgery Detection and Localization},
author = {Fanrui Zhang and Jiawei Liu and Jiaying Zhu and Esther Sun and Qiang Zhang and Zheng-Jun Zha},
year = {2026},
journal = {IEEE Transactions on Image Processing},
doi = {10.1109/tip.2026.3735628},
url = {https://doi.org/10.1109/tip.2026.3735628}
}RIS
TY - JOUR TI - ForgeryGPT: A Multimodal LLM for Interpretable Image Forgery Detection and Localization AU - Fanrui Zhang AU - Jiawei Liu AU - Jiaying Zhu AU - Esther Sun AU - Qiang Zhang AU - Zheng-Jun Zha PY - 2026 JO - IEEE Transactions on Image Processing DO - 10.1109/tip.2026.3735628 UR - https://doi.org/10.1109/tip.2026.3735628 ER -
APA
Zhang, F., Liu, J., Zhu, J., Sun, E., Zhang, Q., & Zha, Z. (2026). ForgeryGPT: A Multimodal LLM for Interpretable Image Forgery Detection and Localization. IEEE Transactions on Image Processing. https://doi.org/10.1109/tip.2026.3735628
Source records
- crossref · retrieved 2026-11-06T21:24:54.767Z