README.md

AIGCForensics

Survey of AIGC Detection (Including part of Deepfake Detection)

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General

• 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

• 2020 CNN-generated images are surprisingly easy to spot... for now (Sheng-Yu Wang) UC Berkely

  • paper: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9156876 (CVPR 2020)
  • code: https://peterwang512.github.io/CNNDetection/

• 2022 Detecting Generated Images by Real Images (Bo Liu) Chongqing University of Posts and Telecommunications

  • paper: https://link.springer.com/chapter/10.1007/978-3-031-19781-9_6 (ECCV 2022)
  • code: https://github.com/Tangsenghenshou/Detecting-Generated-Images-by-Real-Images

• 2022 Fusing Global and Local Features for Generalized AI-Synthesized Image Detection (Yan Ju) University at Buffalo

  • paper: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9897820
  • code: https://github.com/littlejuyan/FusingGlobalandLocal

• 2023 Learning on Gradients: Generalized Artifacts Representation for GAN-Generated Images Detection (ChuangChuang Tian) Beijing Jiaotong University

  • paper: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10203908 (CVPR 2023)
  • code: https://github.com/chuangchuangtan/LGrad

• 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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Deepfake Detection

• 2019 Detecting Photoshopped Faces by Scripting Photoshop (Sheng-Yu Wang) UC Berkely

  • paper: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9010719 (ICCV 2019)
  • code: https://github.com/peterwang512/FALdetector
  • website: https://peterwang512.github.io/FALdetector/

• 2019 FaceForensics++: Learning to Detect Manipulated Facial Images (Andreas Rossler) Technical University of Munich

  • paper: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9010912 (ICCV 2019)
  • code: https://github.com/ondyari/FaceForensics
  • website: https://kaldir.vc.in.tum.de/faceforensics_benchmark/

• 2020 GlobalTexture Enhancement for Fake Face Detection In the Wild (Zhengzhe Liu) University of Oxford

  • paper: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9157447 (CVPR 2021)
  • code: https://github.com/liuzhengzhe/Global_Texture_Enhancement_for_Fake_Face_Detection_in_the-Wild

• 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

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For more information about AIGCForensics pleare refer to our website: https://fdmas.github.io/AIGCDetect/