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The extraordinary ability of generative models emerges as a new trend in image editing and generating realistic images, posing a serious threat to the trustworthiness of multimedia data and driving the research of image manipulation detection and location (IMDL).
A data set of authentic and spliced image blocks
Ng, T.-T.; Chang, S.-F.; and Sun, Q. 2004 · 2004
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Detecting image splicing using geometry invariants and camera characteristics consistency
Hsu, Y.-F.; and Chang, S.-F. 2006 · 2006
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Imagenet: A large-scale hierarchical image database
Deng, J.; Dong, W.; Socher, R.; Li, L.-J.; Li, K.; and Fei-Fei, L. 2009 · 2009
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The pascal visual object classes (voc) challenge
Everingham, M.; Van Gool, L.; Williams, C. K.; Winn, J.; and Zisserman, A. 2010 · 2010
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A sift-based forensic method for copy–move attack detection and transformation recovery
Amerini, I.; Ballan, L.; Caldelli, R.; Del Bimbo, A.; and Serra, G. 2011 · 2011
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Casia image tampering detection evaluation database
Dong, J.; Wang, W.; and Tan, T. 2013 · 2013
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Adam: A method for stochastic optimization
Kingma, D. P.; and Ba, J. 2014 · 2014
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Splicebuster: A new blind image splicing detector
Cozzolino, D.; Poggi, G.; and Verdoliva, L. 2015 · 2015
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Detecting image splicing in the wild (web)
Zampoglou, M.; Papadopoulos, S.; and Kompatsiaris, Y. 2015 · 2015
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Deep residual learning for image recognition
He, K.; Zhang, X.; Ren, S.; and Sun, J. 2016 · 2016
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COVERAGE—A novel database for copy-move forgery detection
Wen, B.; Zhu, Y.; Subramanian, R.; Ng, T.-T.; Shen, X.; and Winkler, S. 2016 · 2016
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Decoupled weight decay regularization
Loshchilov, I.; and Hutter, F. 2017 · 2017
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The ps-battles dataset-an image collection for image manipulation detection
Heller, S.; Rossetto, L.; and Schuldt, H. 2018 · 2018
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MFC datasets: Large-scale benchmark datasets for media forensic challenge evaluation
Guan, H.; Kozak, M.; Robertson, E.; Lee, Y.; Yates, A. N.; Delgado, A.; Zhou, D.; Kheyrkhah, T.; Smith, J.; and Fiscus, J. 2019 · 2019
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DEFACTO: Image and face manipulation dataset
Mahfoudi, G.; Tajini, B.; Retraint, F.; Morain-Nicolier, F.; Dugelay, J. L.; and Marc, P. 2019 · 2019
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Faceforensics++: Learning to detect manipulated facial images
Rossler, A.; Cozzolino, D.; Verdoliva, L.; Riess, C.; Thies, J.; and Nießner, M. 2019 · 2019
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Mantra-net: Manipulation tracing network for detection and localization of image forgeries with anomalous features
Wu, Y.; AbdAlmageed, W.; and Natarajan, P. 2019 · 2019
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What makes fake images detectable? understanding properties that generalize
Chai, L.; Bau, D.; Lim, S.-N.; and Isola, P. 2020 · 2020
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On the detection of digital face manipulation
Dang, H.; Liu, F.; Stehouwer, J.; Liu, X.; and Jain, A. K. 2020 · 2020
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Denoising diffusion probabilistic models
Ho, J.; Jain, A.; and Abbeel, P. 2020 · 2020
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SPAN: Spatial pyramid attention network for image manipulation localization
Hu, X.; Zhang, Z.; Jiang, Z.; Chaudhuri, S.; Yang, Z.; and Nevatia, R. 2020 · 2020
Cited alongside, same era.
Deeperforensics-1.0: A large-scale dataset for real-world face forgery detection
Jiang, L.; Li, R.; Wu, W.; Qian, C.; and Loy, C. C. 2020 · 2020
Cited alongside, same era.
IMD2020: A large-scale annotated dataset tailored for detecting manipulated images
Novozamsky, A.; Mahdian, B.; and Saic, S. 2020 · 2020
Cited alongside, same era.
Deep high-resolution representation learning for visual recognition
Wang, J.; Sun, K.; Cheng, T.; Jiang, B.; Deng, C.; Zhao, Y.; Liu, D.; Mu, Y.; Tan, M.; Wang, X.; et al. 2020 · 2020
Cited alongside, same era.
Excavating AI: The politics of images in machine learning training sets
Crawford, K.; and Paglen, T. 2021 · 2021
Cited alongside, same era.
Diffusion models beat gans on image synthesis
Zero-shot image restoration using denoising diffusion null-space model
Wang, Y.; Yu, J.; and Zhang, J. 2022 · 2022
Later among the works it cites.
Zhang, D.; Huang, F.; Liu, S.; Wang, X.; and Jin, Z. 2022 · 2022
Later among the works it cites.
Achiam, J.; Adler, S.; Agarwal, S.; Ahmad, L.; Akkaya, I.; Aleman, F. L.; Almeida, D.; Altenschmidt, J.; Altman, S.; Anadkat, S.; et al. 2023 · 2023
Later among the works it cites.
FASTC: A Fast Attentional Framework for Semantic Traversability Classification Using Point Cloud
Chen, Y.; Wei, P.; Liu, Z.; Wang, B.; Yang, J.; and Liu, W. 2023 · 2023
Later among the works it cites.
TruFor: Leveraging all-round clues for trustworthy image forgery detection and localization
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Dhariwal, P.; and Nichol, A. 2021 · 2021
Cited alongside, same era.
Fnet: Mixing tokens with fourier transforms
Lee-Thorp, J.; Ainslie, J.; Eckstein, I.; and Ontanon, S. 2021 · 2021
Cited alongside, same era.
Glide: Towards photorealistic image generation and editing with text-guided diffusion models
Nichol, A.; Dhariwal, P.; Ramesh, A.; Shyam, P.; Mishkin, P.; McGrew, B.; Sutskever, I.; and Chen, M. 2021 · 2021
Cited alongside, same era.
Zero-shot text-to-image generation
Ramesh, A.; Pavlov, M.; Goh, G.; Gray, S.; Voss, C.; Radford, A.; Chen, M.; and Sutskever, I. 2021 · 2021
Cited alongside, same era.
Global filter networks for image classification
Rao, Y.; Zhao, W.; Zhu, Z.; Lu, J.; and Zhou, J. 2021 · 2021
Cited alongside, same era.
SegFormer: Simple and efficient design for semantic segmentation with transformers
Xie, E.; Wang, W.; Yu, Z.; Anandkumar, A.; Alvarez, J. M.; and Luo, P. 2021 · 2021
Cited alongside, same era.
Mvss-net: Multi-view multi-scale supervised networks for image manipulation detection
Dong, C.; Chen, X.; Hu, R.; Cao, J.; and Li, X. 2022 · 2022
Cited alongside, same era.
Guillaro, F.; Cozzolino, D.; Sud, A.; Dufour, N.; and Verdoliva, L. 2023 · 2023
Later among the works it cites.
Hierarchical fine-grained image forgery detection and localization
Guo, X.; Liu, X.; Ren, Z.; Grosz, S.; Masi, I.; and Liu, X. 2023 · 2023
Later among the works it cites.
AutoSplice: A Text-prompt Manipulated Image Dataset for Media Forensics
Jia, S.; Huang, M.; Zhou, Z.; Ju, Y.; Cai, J.; and Lyu, S. 2023 · 2023
Later among the works it cites.
Pixel-inconsistency modeling for image manipulation localization
Kong, C.; Luo, A.; Wang, S.; Li, H.; Rocha, A.; and Kot, A. C. 2023 · 2023
Later among the works it cites.
How information on soft labels and hard labels mutually benefits sound event detection tasks
Yin, H.; Bai, J.; Huang, S.; and Chen, J. 2023 · 2023
Later among the works it cites.
Learning to immunize images for tamper localization and self-recovery
Ying, Q.; Zhou, H.; Qian, Z.; Li, S.; and Zhang, X. 2023 · 2023
Later among the works it cites.
CMX: Cross-modal fusion for RGB-X semantic segmentation with transformers
Zhang, J.; Liu, H.; Yang, K.; Hu, X.; Liu, R.; and Stiefelhagen, R. 2023 · 2023
Later among the works it cites.
GenImage: A Million-Scale Benchmark for Detecting AI-Generated Image
Zhu, M.; Chen, H.; Yan, Q.; Huang, X.; Lin, G.; Li, W.; Tu, Z.; Hu, H.; Hu, J.; and Wang, Y. 2023 · 2023
Later among the works it cites.
CD-NGP: A Fast Scalable Continual Representation for Dynamic Scenes
Liu, Z.; Liu, S.; Ning, Z.; Yang, J.; and Liu, W. 2024 · 2024
Closest in time.
IML-ViT: Benchmarking Image Manipulation Localization by Vision Transformer
Ma, X.; Du, B.; Jiang, Z.; Du, X.; Hammadi, A. Y. A.; and Zhou, J. 2024 · 2024
Closest in time.
Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks
Ren, T.; Liu, S.; Zeng, A.; Lin, J.; Li, K.; Cao, H.; Chen, J.; Huang, X.; Chen, Y.; Yan, F.; Zeng, Z.; Zhang, H.; Li, F.; Yang, J.; Li, H.; Jiang, Q.; and Zhang, L. 2024 · 2024
Closest in time.
A Sanity Check for AI-generated Image Detection
Yan, S.; Li, O.; Cai, J.; Hao, Y.; Jiang, X.; Hu, Y.; and Xie, W. 2024 · 2024
Closest in time.
Distilling Semantic Priors from SAM to Efficient Image Restoration Models
Zhang, Q.; Liu, X.; Li, W.; Chen, H.; Liu, J.; Hu, J.; Xiong, Z.; Yuan, C.; and Wang, Y. 2024 · 2024
Closest in time.
Can MLLMs Guide Weakly-Supervised Temporal Action Localization Tasks?
Zhang, Q.; and Qi, Y. 2024 · 2024
Closest in time.
Multi-granularity acoustic information fusion for sound event detection
Yin, H.; Chen, J.; Bai, J.; Wang, M.; Rahardja, S.; Shi, D.; and Gan, W.-s. 2025 · 2025
Closest in time.