Survey of AIGC Detection (Including part of Deepfake Detection)
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2019 Detecting and Simulating Artifacts in GAN Fake Images (Xu Zhang) Columbia University
- paper: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9035107 (WIFS 2019)
- code: https://github.com/ColumbiaDVMM/AutoGAN
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2020 CNN-generated images are surprisingly easy to spot... for now (Sheng-Yu Wang) UC Berkely
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2022 Detecting Generated Images by Real Images (Bo Liu) Chongqing University of Posts and Telecommunications
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2022 Fusing Global and Local Features for Generalized AI-Synthesized Image Detection (Yan Ju) University at Buffalo
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2023 Learning on Gradients: Generalized Artifacts Representation for GAN-Generated Images Detection (ChuangChuang Tian) Beijing Jiaotong University
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2023 GenImage: A Million-Scale Benchmark for Detecting AI-Generated Image (Mingjian Zhu) Huawei Noah’s Ark Lab
- paper: https://arxiv.org/pdf/2306.08571.pdf (NeurIPS 2023)
- code: https://github.com/GenImage-Dataset/GenImage
- website: https://genimage-dataset.github.io/
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2019 Detecting Photoshopped Faces by Scripting Photoshop (Sheng-Yu Wang) UC Berkely
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2019 FaceForensics++: Learning to Detect Manipulated Facial Images (Andreas Rossler) Technical University of Munich
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2020 GlobalTexture Enhancement for Fake Face Detection In the Wild (Zhengzhe Liu) University of Oxford
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2020 Leveraging frequency analysis for deep fake image recognition (Joel Frank)
- paper: https://dl.acm.org/doi/pdf/10.5555/3524938.3525242 (ICML 2020)
- code: https://github.com/RUB-SysSec/GANDCTAnalysis
Reference of Deepfake Setection: https://github.com/Daisy-Zhang/Awesome-Deepfakes-Detection
For more information about AIGCForensics pleare refer to our website: https://fdmas.github.io/AIGCDetect/