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Awesome-AIGC-Detection

本文取自笔者参与合作的github repo文档,并分工于大部分根据论文列表查阅搜集相关材料的工作。该repo的仓库地址为🔗;该repo基于一已有项目戳这里构建(给前辈们撒花致谢🎉),并且对截止2025.7.2之前的AIGC检测相关论文进行整理。

照片本是记录生活的介质,如今却因AI技术面临”信任危机”——AIGC的飞速发展,让”PS都弱爆了”的时代真正来临。当眼见不再为实,如何鉴别AI生成的”照骗”已成为AI安全领域的头号挑战之一。本清单系统整理AIGC图像检测相关研究,希望对大家有所帮助。

📚Datasets

Year Dataset Number of Real Number of Fake Source of Real Image Generation Method of Fake Image
2020 CNNSpot 362,000 362,000 LSUN, ImageNet, CelebA, COCO… ProGAN, StyleGAN, BigGAN, CRN, SITD…
2023 GenImage 1,331,167 1,350,000 ImagNet SDMs, Midjourney, BigGAN
2023 Fake2M - 2,300,000 CC3M SD-V1.5, IF, StyleGAN3
2023 DMimage 200,000 200,000 COOC, LSUN LDM
2023 DiffusionDB 3,300,000 16,000,000 DiscordChatExporter SD
2024 WildFake 2,557,278 1,013,446 ImagNet, Laion, Wukong, COO… BigGAN, StyleGAN, StarGAN, Midjourney, DALLE…

📝Papers

2️⃣0️⃣2️⃣5️⃣

  • Few-Shot Learner Generalizes Across AI-Generated Image Detection
    [Paper] [Code]
  • Forensic Self-Descriptions Are All You Need for Zero-Shot Detection, Open-Set Source Attribution, and Clustering of AI-generated Images
    [Paper]
  • Beyond Generation: A Diffusion-based Low-level Feature Extractor for Detecting AI-generated Images
    [Paper]
  • Secret Lies in Color: Enhancing AI-Generated Images Detection with Color Distribution Analysis
    [Paper]
  • Towards Universal AI-Generated Image Detection by Variational Information Bottleneck Network
    [Paper]
  • Where’s the Liability in the Generative Era? Recovery-based Black-Box Detection of AI-Generated Content
    [Paper]
  • FIRE: Robust Detection of Diffusion-Generated Images via Frequency-Guided Reconstruction Error
    [Paper]
  • Forensic Self-Descriptions Are All You Need for Zero-Shot Detection, Open-Set Source Attribution, and Clustering of AI-generated Images
    [Paper]
  • Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection
    [Paper] [code]
  • D3 Scaling Up Deepfake Detection by Learning
    [Paper] [Code]
  • SIDA: Social Media Image Deepfake Detection, Localization and Explanation with Large Multimodal Model
    [Paper] [Code]
  • A Bias-Free Training Paradigm for More General AI-generated Image Detection
    [Paper] [Code]
  • Any-Resolution AI-Generated Image Detection by Spectral Learning
    [Paper] [Code]
  • TextureCrop: Enhancing Synthetic Image Detection through Texture-based Cropping
    [Paper] [Code]
  • HEIE: MLLM-Based Hierarchical Explainable AIGC Image Implausibility Evaluator
    [Paper] [Datasets] [Code]
  • Improving Synthetic Image Detection Towards Generalization: An Image Transformation Perspective
    [Paper] [Code]
  • SFLD: Reducing the content bias for AI-generated Image Detection
    [Paper]
  • A SANITY CHECK FOR AI-GENERATED IMAGE DETECTION
    [Paper] [Code]
  • FAKESHIELD: EXPLAINABLE IMAGE FORGERY DETECTION AND LOCALIZATION VIA MULTI-MODAL LARGE LANGUAGE MODELS
    [Paper] [Code]
  • Exploring the Collaborative Advantage of Low-level Information on Generalizable AI-Generated Image Detection
    [Paper]
  • HYPERDET: GENERALIZABLE DETECTION OF SYNTHESIZED IMAGES BY GENERATING AND MERGING A MIXTURE OF HYPER LORAS
    [Paper]
  • Zooming In on Fakes: A Novel Dataset for Localized AI-Generated Image Detection with Forgery Amplification Approach
    [Paper] [Code]
  • AntifakePrompt: Prompt-Tuned Vision-Language Models are Fake Image Detectors
    [Paper] [Code]
  • Can GPT tell us why these images are synthesized? Empowering Multimodal Large Language Models for Forensics
    [Paper]
  • Exploring Modality Disruption in Multimodal Fake News Detection
    [Paper]

2️⃣0️⃣2️⃣4️⃣

  • FakeInversion: Learning to Detect Images from Unseen Text-to-Image Models by Inverting Stable Diffusion
    [Paper] [Code]
  • Forgery-aware Adaptive Transformer for Generalizable Synthetic
    [Paper] [Code]
  • Rethinking the Up-Sampling Operations in CNN-based Generative Network for Generalizable Deepfake Detection
    [Paper] [Code]
  • LaRE2: Latent Reconstruction Error Based Method for Diffusion-Generated Image Detection
    [Paper] [Code]
  • AEROBLADE: Training-Free Detection of Latent Diffusion Images Using Autoencoder Reconstruction Error
    [Paper] [Code]
  • MiRAGeNews: Multimodal Realistic AI-Generated News Detection
    [Paper] [Code]
  • Zero-Shot Detection of AI-Generated Images
    [Paper] [Code]
  • Leveraging Representations from Intermediate Encoder-blocks for Synthetic Image Detection
    [Paper] [Code]
  • Contrasting Deepfakes Diffusion via Contrastive Learning and Global-Local Similarities
    [Paper] [Code]
  • DRCT: Diffusion Reconstruction Contrastive Training towards Universal Detection of Diffusion Generated Images [Paper] [Code]
  • Exposing the Fake: Effective Diffusion-Generated Images Detection
    [Paper] [Code]
  • How to Trace Latent Generative Model Generated Images without Artificial Watermark?
    [Paper] [Code]
  • CLIPping the Deception: Adapting Vision-Language Models for Universal Deepfake Detection
    [Paper] [Code]
  • Harnessing the Power of Large Vision Language Models for Synthetic Image Detection
    [Paper] [Code]
  • DE-FAKE: Detection and Attribution of Fake Images Generated by Text-to-Image Generation Models
    [Paper] [Code]
  • Raising the Bar of AI-generated Image Detection with CLIP
    [Paper] [Code]
  • Faster Than Lies: Real-time Deepfake Detection using Binary Neural Networks
    [Paper] [Code]
  • Breaking Semantic Artifacts for Generalized AI-generated Image Detection
    [Paper] [Code]
  • Mixture of Low-rank Experts for Transferable AI-Generated Image Detection
    [Paper] [Code]
  • Guided and Fused: Efficient Frozen CLIP-ViT with Feature Guidance and Multi-Stage Feature Fusion for Generalizable Deepfake Detection
    [Paper]
  • A Single Simple Patch is All You Need for AI-generated Image Detection
    [Paper] [Code]
  • RIGID: A Training-Free and Model-Agnostic Framework for Robust AI-Generated Image Detection
    [Paper]
  • Improving Interpretability and Robustness for the Detection of AI-Generated Images
    [Paper]
  • Continuous fake media detection: adapting deepfake detectors to new generative techniques
    [Paper]
  • Organic or Diffused: Can We Distinguish Human Art from AI-generated Images?
    [Paper]
  • Let Real Images be as a Judger, Spotting Fake Images Synthesized with Generative Models
    [Paper]
  • Detecting Image Attribution for Text-to-Image Diffusion Models in RGB and Beyond
    [Paper] [Code] [Code]
  • MLEP: Multi-granularity Local Entropy Patterns for Generalized AI-generated Image Detection
    [Paper]
  • FFAA: Multimodal Large Language Model based Explainable Open-World Face Forgery Analysis Assistant
    [Paper] [Code]

2️⃣0️⃣2️⃣3️⃣

  • Towards Universal Fake Image Detectors that Generalize Across Generative Models
    [Paper] [Code]
  • Learning on Gradients: Generalized Artifacts Representation for GAN-Generated Images Detection
    [Paper] [Code]
  • DIRE for Diffusion-Generated Image Detection
    [Paper] [Code]
  • Seeing is not always believing: Benchmarking Human and Model Perception of AI-Generated Images
    [Paper] [Code]
  • On The Detection of Synthetic Images Generated by Diffusion Models
    [Paper] [Code]
  • DE-FAKE: Detection and Attribution of Fake Images Generated by Text-to-Image Generation Models
    [Paper]
  • Synthbuster: Towards Detection of Diffusion Model Generated Images
    [Paper]
  • Online Detection of AI-Generated Images
    [Paper]
  • Detecting Images Generated by Deep Diffusion Models using their Local Intrinsic Dimensionality
    [Paper]
  • PatchCraft: Exploring Texture Patch for Efficient AI-generated Image Detection
    [Paper]
  • Generalizable Synthetic Image Detection via Language-guided Contrastive Learning
    [Paper] [Code]
  • Raising the Bar of AI-generated Image Detection with CLIP
    [Paper] [Code]
  • GenDet: Towards Good Generalizations for AI-Generated Image Detection
    [Paper]
  • AntifakePrompt: Prompt-Tuned Vision-Language Models are Fake Image Detectors
    [Paper]
  • Generalizable Synthetic Image Detection via Language-guided Contrastive Learning
    [Paper] [Code]
  • PatchCraft: Exploring Texture Patch for Efficient AI-generated Image Detection
    [Paper] [Code]

2️⃣0️⃣2️⃣2️⃣

  • Detecting Generated Images by Real Images
    [Paper] [Code]
  • FingerprintNet: Synthesized Fingerprints for Generated Image Detection
    [Paper]

2️⃣0️⃣2️⃣1️⃣

  • Are GAN generated images easy to detect? A critical analysis of the state-of-the-art
    [Paper]

2️⃣0️⃣2️⃣0️⃣

  • CNN-generated images are surprisingly easy to spot… for now
    [Paper] [Code]
  • Global Texture Enhancement for Fake Face Detection In the Wild
    [Paper] [Code]
  • Watch your Up-Convolution: CNN Based Generative Deep Neural Networks are Failing to Reproduce Spectral Distributions
    [Paper] [Code]
  • What makes fake images detectable? Understanding properties that generalize
    [Paper] [Code]
  • FingerprintNet: Synthesized Fingerprints for Generated Image Detection
    [Paper] [Code]🏷️(代码貌似非官方)
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