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The official Pytorch implementation of CLUE: Leveraging Low-Rank Adaptation to Capture Latent Uncovered Evidence for Image Forgery Localization

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CLUE: Leveraging Low-Rank Adaptation to Capture Latent Uncovered Evidence for Image Forgery Localization

Code Release

The source code for this project will be made publicly available in this repository. The accompanying research paper is currently undergoing peer review, and we plan to publish the full implementation following the manuscript's acceptance.

A Note for Reviewers

For the purpose of evaluation, the complete source code has been submitted as part of the supplementary materials through the paper submission portal. Should you encounter any difficulties or require assistance while executing the code, please do not hesitate to reach out to the corresponding author (support for anonymized contact is available).

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The official Pytorch implementation of CLUE: Leveraging Low-Rank Adaptation to Capture Latent Uncovered Evidence for Image Forgery Localization

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