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#### Image Editing
+
+2025
+
+* [ ] SAFIRE: Segment Any Forged Image Region [](https://arxiv.org/abs/2412.08197) [](https://github.com/mjkwon2021/SAFIRE)
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+
+
2024
+* [ ] FD-GAN: Generalizable and Robust Forgery Detection via Generative Adversarial Networks
+* [ ] Omni-IML: Towards Unified Image Manipulation Localization [](http://arxiv.org/abs/2411.14823)
+* [ ] ForgerySleuth: Empowering Multimodal Large Language Models for Image Manipulation Detection [](http://arxiv.org/abs/2411.19466)
+* [ ] SIDA: Social Media Image Deepfake Detection, Localization and Explanation with Large Multimodal Model [](http://arxiv.org/abs/2412.04292)
+* [ ] Dual JPEG Compatibility: a Reliable and Explainable Tool for Image Forensics [](http://arxiv.org/abs/2408.17106)
+* [ ] Is JPEG AI going to change image forensics? [](https://arxiv.org/abs/2412.03261)
+* [ ] Image Forgery Localization via Guided Noise and Multi-Scale Feature Aggregation [](https://arxiv.org/abs/2412.01622)
+* [ ] Image manipulation localization via dynamic cross-modality fusion and progressive integration [](https://doi.org/10.1016/j.neucom.2024.128607)
* [ ] HRGR: Enhancing Image Manipulation Detection via Hierarchical Region-aware Graph Reasoning [](https://arxiv.org/abs/2410.21861)
* [ ] Language-guided Hierarchical Fine-grained Image Forgery Detection and Localization (HiFi-Net++) [](https://arxiv.org/abs/2410.23556) [](https://github.com/CHELSEA234/HiFi_IFDL)
* [ ] Image Manipulation Detection With Implicit Neural Representation and Limited Supervision [](https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/12164.pdf)
@@ -297,6 +312,8 @@ _Some of the above papers also contain methods to detect tampered images generat
**人脸篡改**，篡改方法以及检测问题
+* [ ] FD-GAN: Generalizable and Robust Forgery Detection via Generative Adversarial Networks [](https://link.springer.com/article/10.1007/s11263-024-02136-1)
+* [ ] DiffusionFake: Enhancing Generalization in Deepfake Detection via Guided Stable Diffusion [](https://arxiv.org/pdf/2410.04372) [](https://github.com/skJack/DiffusionFake)
* [ ] Can We Leave Deepfake Data Behind in Training Deepfake Detector? [](http://arxiv.org/abs/2408.17052)
* [ ] Open-Set Deepfake Detection: A Parameter-Efficient Adaptation Method with Forgery Style Mixture [](http://arxiv.org/abs/2408.12791)
* [ ] Hierarchical Forgery Classifier On Multi-modality Face Forgery Clues [](https://arxiv.org/abs/2212.14629) [](https://github.com/EdWhites/HFC-MFFD)
@@ -330,6 +347,7 @@ _Some of the above papers also contain methods to detect tampered images generat
**复制移动篡改定位**问题
+* [ ] Copy-Move Forgery Detection and Question Answering for Remote Sensing Image [](https://arxiv.org/abs/2412.02575) [](https://github.com/shenyedepisa/RSCMQA)
* [ ] CMCF-Net: An End-to-End Context Multiscale Cross-Fusion Network for Robust Copy-Move Forgery Detection [](https://doi.org/10.1109/TMM.2023.3345160)
* [ ] Robust Image Hashing via CP Decomposition and DCT for Copy Detection (_TOMM '24_) **[[Paper](https://dl.acm.org/doi/full/10.1145/3650112)]**
* [ ] Lightweight and High-Precision Network for Image Copy-Move Forgery Detection (_SPL '24_) **[[Paper](https://doi.org/10.1109/LSP.2024.3400055)]**