Bridging the Gap Between Ideal and Real-world Evaluation: Benchmarking AI-Generated Image Detection in Challenging Scenarios

Li, Chunxiao; Zhu, Yao

doi:10.5281/zenodo.14963880

Published July 23, 2025 | Version ICCV2025 Accepted paper

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Bridging the Gap Between Ideal and Real-world Evaluation: Benchmarking AI-Generated Image Detection in Challenging Scenarios

1. Tsinghua University

ICCV2025 dataset submission for ``Bridging the Gap Between Ideal and Real-world Evaluation: Benchmarking AI-Generated Image Detection in Challenging Scenarios`

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RRDataset_original_train_val.tar.gz md5:2f4498c3690d8f4c7a30d2e41dd34500	2.2 GB	Download
RRDataset_test.tar.gz md5:13c3ff3d61986170cc0c8cf76a35cd4b	20.1 GB	Download

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Accepted: 2025-02-25

ICCV2025

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Zenodo

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ICCV2025

License: Creative Commons Attribution 4.0 International

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Created: March 4, 2025
Modified: July 23, 2025

Bridging the Gap Between Ideal and Real-world Evaluation: Benchmarking AI-Generated Image Detection in Challenging Scenarios

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