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Awesome AIGC Image/Video Detection Awesome

Overview

A curated collection of the latest research and resources on AI-Generated Image and Video Detection. This repository encompasses datasets, benchmarks, research papers, and practical detection tools.

🚀🚀🚀Contributions are welcome! If you find any missing papers, datasets, or tools, feel free to open an issue or submit a pull request.

Contents

🔥 Hot Events

Benchmarks & Datasets

Modality Legend: [I] Image | [V] Video | [M] Multi-modal

Annotation Type Legend: Au: Authenticity | Ex: Explainability | Lo: Localization

Benchmark Paper Venue & Year Modality Notes Real Source Fake Source/Generator Annotation Scale Download
DailyBench DailyBench: A Unified Benchmark for AI-Generated and Manipulated Images from Modern Generative Models Arxiv 2026 (v3 2026-09-01) [I] Unified AIID testbed = FakeBench (full T2I synthesis) + ManipulationBench (object-level edits on real images); LAION-Aesthetics V2 pool filtered by aesthetic score ≥6 & shortest side ≥512; per-generator real/fake pairs; robustness study under recompression & pixel perturbation; ships FPD diagnostic baseline LAION-Aesthetics V2 T2I: SD3.5-Large, FLUX.1, FLUX.2, Qwen-Image-2512, Z-Image, Nano Banana 2, GPT-Image 2; Edit: FLUX-Fill (random/object mask), FLUX.2-klein-9B, Qwen-Image-Edit-2511, Step1X-Edit-v1p2 Au 270K（v3：FakeBench ≈185K + ManipulationBench ≈75K） DailyBench
Project
AGIDefect-4K AGIDefect-4K: A Richly Annotated Dataset for AI-Generated Image Defect Detection, Localization and Explanation ACM MM 2026 [I] Defect Detection, Localization & Explanation, 15 SOTA Generators, Quality Scoring DALL-E 3, Midjourney, FLUX, Gemini, GPT-Image, Ideogram, Kling, Grok, etc. Au, Lo, Ex 4K AGIDefect-4K
RA-Bench Can We Defend Against AI-Generated Video Attacks on Real-World Crisis Events? A Systematic Evaluation of Detectors, Generators and Social Dissemination Arxiv 2026 [V] Real-Crisis-Anchored, Source-Matched Evaluation, Human-Proof Subset, Propagation Robustness Real crisis event footage (public media & source URLs) 4 open-source + 5 closed-source generators (incl. Wan2.2) Au 17.9K RA-Bench
RealHD RealHD: A High-Quality Dataset for Robust Detection of State-of-the-Art AI-Generated Images Arxiv 2026 [I] Multi-category, SOTA Generators, 10K+ Prompts, Inpainting Masks T2I, Inpainting, Refinement, Face Swapping Au, Lo 730K+ RealHD
Treasure Fleet: Few Shots Lead Effective AI-generated Image Detection ICML 2026 [I] 64 Models, 20 Closed-source Commercial Engines, Few-shot Adaptation Diverse architectures & 20 commercial engines Au 360K Treasure
LADBench LADBench: A Benchmark for Logical Fault Detection in Images ICDL 2026 [I] Logical Anomaly Detection, VLM Evaluation, Common Sense Reasoning Synthetic images with logical anomalies Au 1K+ LADBench
EVID-Bench When Seeing Is Not Believing -- A Benchmark for Search-Grounded Video Misinformation Detection Arxiv 2026 [V] Search-Grounded Verification, Evidence-Dependent Manipulation Au EVID-Bench
CoCoVideo CoCoVideo: The High-Quality Commercial-Model-Based Contrastive Benchmark for AI-Generated Video Detection Arxiv 2026 [V] Commercial AIGC Models, Contrastive Benchmark Commercial video generation models Au CoCoVideo
FraudBench FraudBench: A Multimodal Benchmark for Detecting AI-Generated Fraudulent Refund Evidence Arxiv 2026 [M] Fraudulent Refund Detection (ECommerce) Au FraudBench
GPT-Image-2 Wild GPT-Image-2 in the Wild: A Twitter Dataset of Self-Reported AI-Generated Images from the First Week of Deployment Arxiv 2026 [I] GPT-Image-2 Twitter (real images) GPT-Image-2 Au 10K GPT-Image-2 Wild
Artifact-Bench Artifact-Bench: Evaluating MLLMs on Detecting and Assessing the Artifacts of AI-Generated Videos Arxiv 2026 [V] MLLM Evaluation, Video Artifacts Au Artifact-Bench
CommGen15 PGC: Peak-Guided Calibration for Generalizable AI-Generated Image Detection ICML 2026 [I] 15 Commercial Generative Models 15 commercial generators Au CommGen15
AEGIS-Academic AEGIS: A Holistic Benchmark for Evaluating Forensic Analysis of AI-Generated Academic Images Arxiv 2026 [I] Academic Image Forensics Au AEGIS
SciFigDetect SciFigDetect: A Benchmark for AI-Generated Scientific Figure Detection Arxiv 2026 [I] Scientific Figure Detection Nano Banana Pro, GPT-image-1.5 Au 150K SciFigDetect
ActivityForensics ActivityForensics: A Comprehensive Benchmark for Localizing Manipulated Activity in Videos CVPR 2026 [V] Action-level AIGC in videos Au 6K ActivityForensics
MintVid VideoVeritas: AI-Generated Video Detection via Perception Pretext Reinforcement Learning ICML 2026 [V] OpenVid, VFHQ, HDTF, TikTok Jimeng3.0-Pro, Seedance, Kling2.5-Turbo, Sora2, TikTok, Youtube, etc. Au 4K MintVid
AIGVDBench Your One-Stop Solution for AI-Generated Video Detection CVPR 2026 [V] OpenVid-HD 31 generation models Au 440k AIGVDBench
HydraFake Veritas: Generalizable Deepfake Detection via Pattern-Aware Reasoning ICLR 2026(Oral) [I] FFHQ, VFHQ, CelebAHQ, FF++, etc. GPT-4o, HailuoAI, ICLight, InfiniteYou, etc. Au, Ex 100K HydraFake
BR-Gen Zooming In on Fakes: A Novel Dataset for Localized AI-Generated Image Detection with Forgery Amplification Approach AAAI 2026 [I] Au, Lo 150K BR-Gen
RRDataset Bridging the Gap Between Ideal and Real-world Evaluation: Benchmarking AI-Generated Image Detection in Challenging Scenarios ICCV 2025 [I] Real-World Robustness, Internet Transmission, Re-digitization Au N/A
HiResolution No Pixel Left Behind: A Detail-Preserving Architecture for Robust High-Resolution AI-Generated Image Detection ICLR 2026 [I] Au 50K HiRes-50K
AIGI-Now AlignGemini: Generalizable AI-Generated Image Detection Through Task-Model Alignment Arxiv 2026 [I] COCO Nano Banana, GPT-4o, Jimeng, Kling, Minimax, etc. Au 18K AIGI-Now
RealChain Beyond Artifacts: Real-Centric Envelope Modeling for Reliable AI-Generated Image Detection Arxiv 2026 [I] Au 14K RealChain
GenVidBench GenVidBench: A 6-Million Benchmark for AI-Generated Video Detection AAAI 2026 [V] Au 6M GenVidBench
Skyra Skyra: AI-Generated Video Detection via Grounded Artifact Reasoning CVPR 2026 [V] Au, Ex, Lo 4K ViF-CoT-4K
So-Fake-Set So-Fake: Benchmarking and Explaining Social Media Image Forgery Detection Arxiv 2025 [I] F30k, WIDER, FFHQ, CelebA, OpenImages, COCO, OpenForensics Qwen-image, GPT-4o, Nano Banana, Seedream3.0, Ideogram3.0, etc. Au 2M+ So-Fake-Set
So-Fake-OOD
GenBuster++ BusterX++: Towards Unified Cross-Modal AI-Generated Content Detection and Explanation with MLLM Arxiv 2025 [M] Au 4K GenBuster++
GenBuster BusterX: MLLM-Powered AI-Generated Video Forgery Detection and Explanation Arxiv 2025 [I] Au 200K GenBuster-200K
AIGIBench Is Artificial Intelligence Generated Image Detection a Solved Problem? NeurIPS 2025 [I] FFHQ, CelebA-HQ, Open Images V7 Common generators & SocialRF, CommunityAI Au 200K AIGIBench
Ivy-Fake IVY-FAKE: A Unified Explainable Framework and Benchmark for Image and Video AIGC Detection Arxiv 2025 [M] Au, Ex 150K Ivy-Fake
AEGIS AEGIS: Authenticity Evaluation Benchmark for AI-Generated Video Sequences ACM MM 2025 [V] Vript (YouTube, TikTok), DVF, YouTube (self-collected) Stable Video Diffusion, CogVideoX-5B, I2VGen-XL, Pika, KLing, Sora Au, Ex 10K+ AEGIS
NeXT-IMDL NeXT-IMDL: Build Benchmark for Next-Generation Image Manipulation Detection & Localization Arxiv 2025 [I] Flickr30k, COCO, OpenImages V7 SD2-Inpainting, SDXL-Inpainting, FLUX-Inpainting, etc. Au, Lo 558K NeXT-IMDL
ARForensics D3QE: Learning Discrete Distribution Discrepancy-aware Quantization Error for Autoregressive-Generated Image Detection ICCV 2025 [I] ImageNet Infinity, Janus_Pro, RAR, Switti, VAR, LlamaGen, Open_MAGVIT2 Au 300k ARForensics
OpenSDI OpenSDI: Spotting Diffusion-Generated Images in the Open World CVPR 2025 [I] Megalith-10M SD1.5, SD2.1, SDXL, SD3, Flux.1 Au, Lo 300K OpenSDI
Community Forensics Community Forensics: Using Thousands of Generators to Train Fake Image Detectors CVPR 2025 [I] LAION, ImageNet, COCO, FFHQ, CelebA, MetFaces, AFHQ, etc. 4803 generators (Latent Diffusion, GAN, Autoregressive, Pixel Diffusion, Commercial) Au 2.7M Community Forensics
FakeClue Spot the Fake: Large Multimodal Model-Based Synthetic Image Detection with Artifact Explanation NeurIPS 2025 [I] Au, Ex 100K FakeClue
XAIGID-RewardBench Explainable AI-Generated Image Detection RewardBench NeurIPS 2025 Workshop [I] COCO-2017 Imagen 4, Flux.1 Dev, Bagel, etc. Au, Ex 3K XAIGID-RewardBench
RewardData Learning Human-Perceived Fakeness in AI-Generated Videos via Multimodal LLMs Arxiv 2025 [V] Au, Ex 4.3K RewardData
OpenFake OPENFAKE: An Open Dataset and Platform Toward Real-World Deepfake Detection Arxiv 2025 [I] LAION-400M SD 1.5/2.1/XL/3.5, Flux 1.0-dev/1.1-Pro/Schnell, Midjourney v6/v7, DALL·E 3, Imagen 3/4, GPT Image 1, Ideogram 3.0, Grok-2, HiDream-I1, Recraft v3, Chroma, and 10 community LoRA/finetune variants Au ~4M OPENFAKE
Video Reality Test Video Reality Test: Can AI-Generated ASMR Videos fool VLMs and Humans? Arxiv 2025 [V] YouTube ASMR (social media) Veo3.1-Fast, Sora2, Wan2.2-A14B, Wan2.2-5B, OpenSora-V2, HunyuanVideo, StepVideo Au 149 real + dynamic fake Video Reality Test
DDL DDL: A Dataset for Interpretable Deepfake Detection and Localization in Real-World Scenarios Arxiv 2025 [M] Au 367K DDL
DiffSeg30k DiffSeg30k: A Multi-Turn Diffusion Editing Benchmark for Localized AIGC Detection Arxiv 2025 [I] COCO SD2, SD3.5, SDXL, Flux.1, Glide, Kolors, HunyuanDiT1.1, Kandinsky 2.2 Au, Lo 30K DiffSeg30k
FakeParts FakeParts: a New Family of AI-Generated DeepFakes Arxiv 2025 [V] Au, Lo 81K FakeParts
ForensicHub ForensicHub: A Unified Benchmark & Codebase for All-Domain Fake Image Detection and Localization NeurIPS 2025 [I] ProGAN, StyleGAN, LDM, SDv1.4, SDv1.5, SDv2, SDXL, SD-ControlNet, MidJourney, ADM, GLIDE, VQDM, BigGAN Au, Lo 23 datasets
42 models		 ForensicHub
LOKI LOKI: A Comprehensive Synthetic Data Detection Benchmark Using Large Multimodal Models ICLR 2025 [M] SORA, Keling, Open-Sora, FLUX, Midjourney, Stable Diffusion, Nerf-based, Gaussian-based, GPT-4o, Qwen-Max, Llama 3.1-405B, MusicGen, AudioLDM2... Au, Ex 18K LOKI
Chameleon A Sanity Check for AI-Generated Image Detection ICLR 2025 [I] Unsplash Midjourney, DALLE-3, Stable Diffusion (various LoRA fine-tuned) Au 26K Chameleon
WildFake WildFake: A Large-scale Challenging Dataset for AI-Generated Images Detection AAAI 2025 [I] Au 3.7M WildFake
WildRF Real-Time Deepfake Detection in the Real-World Arxiv 2024 [I] Reddit, X (Twitter), Facebook (real images) Reddit, X (Twitter), Facebook (social media deepfakes) Au WidlRF
AIGCDetectBenchmark PatchCraft: Exploring Texture Patch for Efficient AI-generated Image Detection Arxiv 2024 [I] Au 100K AIGCDetectionBenchMark
GenVideo DeMamba: AI-Generated Video Detection on Million-Scale GenVideo Benchmark Arxiv 2024 [V] Au 2.3M GenVideo
DRCT Drct: Diffusion reconstruction contrastive training towards universal detection of diffusion generated images ICML 2024 [I] MSCOCO LDM, SDv1.4, SDv1.5, SDv2, SDXL, SD-ControlNet Au 2M DRCT-2M
GenImage GenImage: A Million-Scale Benchmark for Detecting AI-Generated Image NeurIPS 2023 [I] ImageNet, Wukong MidJourney, SDv1.4, SDv1.5, ADM, GLIDE, VQDM, BigGAN Au 2.7M GenImage
DF40 DF40: Toward Next-Generation Deepfake Detection NeurIPS 2024 [I] [V] Au 0.1M+ videos, 1M+ images DF40
Forensics-Bench Forensics-Bench: A Comprehensive Forgery Detection Benchmark Suite for Large Vision Language Models CVPR 2025 [I], [V], [M] Various public datasets GAN, Diffusion, VAE, RNN, Encoder-Decoder, Graphics-based Au, Lo 63K Forensics-Bench

⬆ Back to Top

Research Papers

💡 Note: Papers are sorted by year (descending) within each category.
Modality Legend: [I] Image | [V] Video | [M] Multi-modal
Category Layout: Top level is split into MLLM-Based (MLLM-powered detection) and Classification-Based (compact/traditional classifiers). Classification-Based is further organized into six subcategories. When a paper fits multiple subcategories, the priority is: Training-Free/Zero-Shot > Continual/Incremental > Video Spatiotemporal > Frequency/Low-Level Artifacts > Supervised General.

MLLM-Based

This category focuses on utilizing Multimodal Large Language Models (MLLMs) like GPT-4V, LLaVA, or Qwen-VL to detect AI-generated content. These methods often provide natural language explanations (explainability) alongside binary detection.

Title Venue & Year Modality Highlights/Keywords Code
Evidence-Guided Detection, Localization and Explanation for Text-Centric Image Forensics ACM MM 2026 Challenge [I] Detector-Localizer-Reasoner Cascade, Iterative Difficulty-Aware Mining, Report-Mask Consistency GitHub
AGIDefect-4K: A Richly Annotated Dataset for AI-Generated Image Defect Detection, Localization and Explanation ACM MM 2026 [I] AGIDefect-4K Dataset, Hierarchical Defect Annotation, MLLM Baseline (AGIDA) GitHub
Explainable Deepfake Detection with Feature-robust Augmentation and Evidence-grounded Explanation Optimization ACM MM 2026 [I] Feature-robust Augmentation, Mean-Teacher Consistency, Evidence-grounded Preference Optimization, Challenge Winner GitHub
PATE-Forensics: Perception-as-Tool for Explainable Deepfake Forensics with General-Purpose MLLMs IJCAI 2026 Workshop [I] Perception-as-Tool, DINOv3 Forensic Perception Tool, General-Purpose MLLM Explanation GitHub
Defake-o3: From Speculative Rationales to Verifiable Evidence for Explainable AIGI Detection ACM MM 2026 [I] Interactive Visual Search, Verifier-guided Evidence Alignment, GroundFake Dataset, FakeFrontier Benchmark N/A
SPARED: Reasoning-Based AI-Generated Image Detection via Adversarially Edited Data Arxiv 2026 [I] Adversarial RL Loop, Diffusion Editor, Free-form Explanation N/A
VidForensics-M1: Meta-Detection Reinforcement Learning with Verifiable Temporal Grounding for AI-Generated Video Forensics Arxiv 2026 [V] Meta-Detection RL, Verifiable Temporal Grounding, Evidence-Guided Reward Redistribution N/A
Veritas++: Value-aware On-Policy Distillation for Perception-Enhanced AIGI Detection Arxiv 2026 [I] Value-aware On-Policy Distillation, Perception-Enhanced Reasoning GitHub
Detecting AI-Generated Video: A Vision-Language Dual-View Survey ACL 2026 Findings [V] [Survey] Vision-Language Dual-View Taxonomy, Factual Fidelity Verification, Cross-modal Consistency N/A
TranX-Adapter: Bridging Artifacts and Semantics within MLLMs for Robust AI-generated Image Detection ICML 2026 [I] Artifact feature and Semantic feature fusion GitHub
Venus-DeFakerOne: Unified Fake Image Detection & Localization Arxiv 2026 [I] Unified Detection & Localization, Large-Scale Training GitHub
GenShield: Unified Detection and Artifact Correction for AI-Generated Images ICML 2026 [I] Unified MLLM, Detect & Correct Artifacts GitHub
ReAlign: Generalizable Image Forgery Detection via Reasoning-Aligned Representation Arxiv 2026 [I] Reasoning-Aligned Representation, Interpretable N/A
UniGenDet: A Unified Generative-Discriminative Framework for Co-Evolutionary Image Generation and Generated Image Detection CVPR 2026 [I] Unified Model, Co-Evolution (Generation & Detection) GitHub
VideoVeritas: AI-Generated Video Detection via Perception Pretext Reinforcement Learning ICML 2026 [V] Perception Pretext RL, Fact-based Reasoning, MintVid Dataset GitHub
Veritas: Generalizable deepfake detection via pattern-aware reasoning ICLR 2026(Oral) [I] Pattern-aware Reasoning, HydraFake Dataset Github
DF-LLaVA: Unlocking MLLMs for Synthetic Image Detection via Knowledge Injection and Conflict-Driven Self-Reflection Arxiv 2026 [I] Knowledge Injection, Self-Reflection N/A
DocShield: Towards AI Document Safety via Evidence-Grounded Agentic Reasoning Arxiv 2026 [M] Agentic Framework, Document Safety N/A
VidGuard-R1: AI-Generated Video Detection and Explanation via Reasoning MLLMs and RL ICLR 2026 [V] Multi-stage RL (GRPO), Time Artifacts, Video Detection Dataset GitHub
FakeXplain: AI-Generated Image Detection via Human-Aligned Grounded Reasoning ICLR 2026 [I] Grounded Reasoning, Human-annotated Dataset N/A
AlignGemini: Generalizable AI-Generated Image Detection Through Task-Model Alignment Arxiv 2026 [I] Decoupling (Semantic & Pixel), AIGI-Now Dataset N/A
Zoom-In to Sort AI-Generated Images Out Arxiv 2026 [I] Thinking with Images, MagniFake Dataset N/A
AgentFoX: LLM Agent-Guided Fusion with eXplainability for AI-Generated Image Detection Arxiv 2026 [I] Agentic framework Github
EvoGuard: An Extensible Agentic RL-based Framework for Practical and Evolving AI-Generated Image Detection Arxiv 2026 [I] Agentic Framework, Method Ensembling N/A
VIGIL: Part-Grounded Structured Reasoning for Generalizable Deepfake Detection Arxiv 2026 [I] Part-centric Forensic, OmniFake Dataset Project
GenVideoLens: Where LVLMs Fall Short in AI-Generated Video Detection? Arxiv 2026 [V] GenVideoLens benchmark N/A
Semantic Visual Anomaly Detection and Reasoning in AI-Generated Images ICLR 2026 [I] Semantic Anomaly Reasoning, AnomReason Dataset N/A
FAKE-HR1: RETHINKING REASONING OF VISION LANGUAGE MODEL FOR SYNTHETIC IMAGE DETECTION Arxiv 2026 [I] Hybrid-Reasoning, Dual-mode Dataset N/A
MIRAGE: Towards AI-Generated Image Detection in the Wild Arxiv 2025 [I] Human Curation Dataset, Heuristic-to-Analytic Reasoning N/A
BusterX++: Towards Unified Cross-Modal AI-Generated Content Detection and Explanation with MLLM Arxiv 2025 [M] RL Post-training, Cross-Modal, Thinking Reward Mechanism Github
BusterX: MLLM-Powered AI-Generated Video Forgery Detection and Explanation Arxiv 2025 [V] GenBuster-200K Dataset, Cold Start + RL Training Github
REVEAL: Reasoning-enhanced Forensic Evidence Analysis for Explainable AI-generated Image Detection Arxiv 2025 [I] Chain-of-Evidence, Expert-grounded RL N/A
Spot the Fake: Large Multimodal Model-Based Synthetic Image Detection with Artifact Explanation NeurIPS 2025 [I] FakeClue Dataset, Fine-grained Artifact Clues, Artifact Explanation GitHub
AIGI-Holmes: Towards Explainable and Generalizable AI-Generated Image Detection via Multimodal Large Language Models ICCV 2025 [I] Holmes-Set, Multi-Expert Jury, 3-Stage Training Pipeline Github
LEGION: Learning to Ground and Explain for Synthetic Image Detection ICCV 2025 [I] SynthScars Dataset, Defender & Controller, Image Refinement GitHub
Seeing Before Reasoning: A Unified Framework for Generalizable and Explainable Fake Image Detection Arxiv 2025 [I] Perception & Reasoning, ExplainFake-Bench N/A
SIDA: Social Media Image Deepfake Detection, Localization, and Explanation CVPR 2025 [I] SID-Set, Mask Prediction, Social Media Context Github
FakeShield: Explainable Image Forgery Detection and Localization via Multi-modal Large Language Models ICLR 2025 [I] Explainable IFDL, Domain Tag-guided, Multi-modal Localization GitHub
FakeScope: Large Multimodal Expert Model for Transparent AI-Generated Image Forensics Arxiv 2025 [I] FakeChain Dataset, FakeInstruct, Trace Evidence N/A
AntifakePrompt: Prompt-Tuned Vision-Language Models are Fake Image Detectors Arxiv 2024 [I] VQA, InstructBLIP, Soft Prompt-tuning, Zero-shot GitHub

Classification-Based

This category includes supervised learning approaches that train neural networks (CNNs, ViTs, VFMs, etc.) specifically to classify authentic vs. AI-generated content. They usually focus on robustness, generalization, and feature extraction. It is organized into six subcategories: Supervised General Detectors, Video Spatiotemporal Modeling, Training-Free / Zero-Shot, Frequency-Domain & Low-Level Artifacts, Continual & Incremental Learning, and Related & Other.

Supervised General Detectors

Trainable classifiers and backbones (CNNs, ViTs, vision foundation models, CLIP-based adapters, few-shot and prompt-based methods) for general-purpose detection.

Title Venue & Year Modality Highlights/Keywords Code
FUSED: Forensic-Semantic Mixture-of-Experts for AI Inpainting Detection and Localization Arxiv 2026 [I] Forensic-Semantic MoE, Joint Detection & Localization, Cross-generator Generalization (OpenSDID) GitHub
GAP-SAM: A Global Artifact Prior for Generalizable AI-Generated Image Manipulation Localization Arxiv 2026 [I] Global Artifact Token, SAM3 FiLM Injection, Boundary Adhesion Analysis N/A
LoRC: Detecting AI-Generated Images via Low-Rank Collapse in Semantic Residuals ECCV 2026 (Spotlight) [I] Low-Rank Collapse Signature, Semantic-Residual Decoupling, Cross-model Generalization N/A
Prior-Conditioned Gaussian Discriminants for Generalizable AI-generated Image Detection ECCV 2026 [I] Closed-form Gaussian Heads, Percept-Lens Protocol (39 Datasets), Transfer Diagnostic N/A
Environment-Invariant Subspace Learning for Generalizable Deepfake Detection Arxiv 2026 [I] Environment-Invariant Subspace, VFM Semantic Priors, Environmental Intervention N/A
Understanding Why Foundation Models Work for Diffusion-Generated Image Detection Arxiv 2026 [I] Interpretability Analysis, DDIM Inversion, Low-to-Mid Frequency Distributional Discrepancy N/A
PatchHead: Learning Spatial Patch Evidence for Generalizable AI-Generated Image Detection Arxiv 2026 [I] DINO Patch Tokens, 2D Spatial Aggregation, LoRA Adapters N/A
GlobalForge: Towards Robust AI-Generated Image Detection Arxiv 2026 [I] Global Structural Reasoning, Local Information Bottleneck, RealDeg-Bench Code
Fleet: Few Shots Lead Effective AI-generated Image Detection ICML 2026 [I] Few-shot Adaptation, Routing Correction, Treasure Benchmark GitHub
SSAFE: Simple and Strong AI-Generated Image Detection via Frozen Vision Encoders Arxiv 2026 [I] Frozen Vision Encoders, Linear Classifier, RealWorldBench N/A
HydraPrompt: An Adaptive and Asymmetric Framework of Vision-Language Models for Synthetic Image Detection ACM MM 2026 [I] Asymmetric Prompting, Dynamic Decision Boundary N/A
VINA: Video as Natural Augmentation: Towards Unified AI-Generated Image and Video Detection Arxiv 2026 [M] Unified Image/Video Detection, Cross-Modal Contrastive Learning N/A
PGC: Peak-Guided Calibration for Generalizable AI-Generated Image Detection ICML 2026 [I] Peak-Guided Calibration, CommGen15 Dataset GitHub
Reduce the Artifacts Bias for More Generalizable AI-Generated Image Detection Arxiv 2026 [I] Bias-free Training GitHub
Zooming In on Fakes: A Novel Dataset for Localized AI-Generated Image Detection with Forgery Amplification Approach AAAI 2026 [I] Localized AIGC Detection, Forgery Amplification, Scene-aware Local Forgery GitHub
Simplicity Prevails: The Emergence of Generalizable AIGI Detection in Visual Foundation Models Arxiv 2026 [I] Linear Probe, Vision Foundation Models, Emergent Forensic Capability N/A
MIRROR: Manifold Ideal Reference ReconstructOR for Generalizable AI-Generated Image Detection Arxiv 2026 [I] Manifold Reconstruction, Memory Bank, Human-AIGI Benchmark GitHub
No Pixel Left Behind: A Detail-Preserving Architecture for Robust High-Resolution AI-Generated Image Detection ICLR 2026 [I] Detail-preserving dual-path architecture, Multi-task learning, HiRes-50K benchmark N/A
All Patches Matter, More Patches Better: Enhance AI-Generated Image Detection via Panoptic Patch Learning ICLR 2026 [I] Random Patch Replacement, Patch-wise Contrastive Learning N/A
OmniAID: Decoupling Semantic and Artifacts for Universal AI-Generated Image Detection in the Wild Arxiv 2025 [I] Mixture-of-Experts, Semantic-Artifact Decoupling, Mirage Dataset GitHub
DINO-Detect: A Simple yet Effective Framework for Blur-Robust AI-Generated Image Detection Arxiv 2025 [I] Blur Robustness, Knowledge Distillation, DINOv3 Github
Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection ICML 2025 (Oral) [I] SVD Orthogonal Subspace, Asymmetry Phenomenon, Parameter-efficient Fine-tuning GitHub
A Bias-Free Training Paradigm for More General AI-generated Image Detection CVPR 2025 [I] Bias-Free, Semantic Alignment, Stable Diffusion Self-conditioning Github
Forensics Adapter: Adapting CLIP for Generalizable Face Forgery Detection CVPR 2025 [I] CLIP, Blending Boundaries, Forgery-aware Prompt Learning Github
Exploring Unbiased Deepfake Detection via Token-Level Shuffling and Mixing AAAI 2025 [I] Token-Level Shuffling, Contrastive Loss, Bias Mitigation N/A
FakeFormer: Efficient Vulnerability-Driven Transformers for Generalisable Deepfake Detection Arxiv 2024 [I] Vulnerability-driven, Local Attention (L2-Att), Vision Transformer GitHub

Video Spatiotemporal Modeling

Methods that exploit temporal inconsistencies, motion patterns, and spatiotemporal artifacts in AI-generated videos.

Title Venue & Year Modality Highlights/Keywords Code
Mind the Rift: Cross-Scale Coupling Mismatch for AI-Generated Video Detection ACM MM 2026 [V] Cross-Scale Coupling Mismatch, Macro Temporal Dynamics vs. Pixel-Level Residuals, Persistent Homology, Encoder-Agnostic GitHub
MotionPhys: Detecting AI-Generated Videos via Physical Consistency of Optical-Flow Trajectories Arxiv 2026 [V] Physical Motion Consistency, Sparse Optical-Flow Trajectories, Multi-scale Geometric Evolution N/A
Rethinking the Readout: Unlocking Video Backbones for AI-Generated Video Detection Arxiv 2026 [V] V-PVP Readout, Patch Velocity Profiling, Frozen Video Backbones Code
Dataset Biases and Shortcut Learning in Motion-Based AI-Generated Video Detection Arxiv 2026 [V] Motion Bias Analysis, Preprocessing/Sampling Bias, Frequency-based Comparison N/A
G2VD: Generalizable AI-Generated Video Detection via Counterfactual Intervention and Causal Disentanglement Arxiv 2026 [V] Counterfactual Intervention, Causal Disentanglement, Cross-domain Generalization GitHub
ReConFuse: Reconstruction-Error Guided Semantic Fusion for AI-Generated Video Detection Arxiv 2026 [V] Reconstruction Error, Semantic Fusion, Spatial-Temporal Artifacts N/A
Detecting AI-Generated Videos with Spiking Neural Networks Arxiv 2026 [V] Spiking Neural Networks, Temporal Artifact N/A
CMTA: Leveraging Cross-Modal Temporal Artifacts for Generalizable AI-Generated Video Detection Arxiv 2026 [V] Cross-Modal Temporal Artifacts, Video Detection N/A
Preserving Forgery Artifacts: AI-Generated Video Detection at Native Scale ICLR 2026 [V] Native scale video processing, Massive realistic video dataset, Preserves subtle generation artifacts N/A
Seeing What Matters: Generalizable AI-generated Video Detection with Forensic-Oriented Augmentation NeurIPS 2025 [V] Wavelet-band Augmentation, Forensic Frequency Artifacts, Single-generator Generalization GitHub
AI-Generated Video Detection via Perceptual Straightening NeurIPS 2025 [V] Perceptual Straightening, DINOv2, Temporal Curvature GitHub
Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection NeurIPS 2025 [V] Normalized Spatiotemporal Gradient (NSG), Maximum Mean Discrepancy (MMD) Github
Towards a Universal Synthetic Video Detector: From Face or Background Manipulations to Fully AI-Generated Content CVPR 2025 [V] SigLIP-So400M, Attention-Diversity Loss, Full-frame Manipulations N/A
DIP: Diffusion Learning of Inconsistency Pattern for General DeepFake Detection TMM 2025 [V] Direction-aware Attention, SpatioTemporal Invariant Loss N/A
DeMamba: AI-Generated Video Detection on Million-Scale GenVideo Benchmark Arxiv 2024 [V] Mamba, State Space Model, Long-range Spatiotemporal Inconsistency GitHub
Distinguish Any Fake Videos: Unleashing the Power of Large-scale Data and Motion Features Arxiv 2024 [V] GenVidDet, Optical Flow, Dual-Branch 3D Transformer N/A

Training-Free / Zero-Shot

Methods that detect AI-generated content without additional training on detection data.

Title Venue & Year Modality Highlights/Keywords Code
Frozen DINO Localizes Image Edits Without a Localizer Arxiv 2026 [I] Training-free, Frozen DINO Patch-token Drift, Haar Perturbation, Edit Localization GitHub
SPLIT: Training-Free AI-Generated and Partially Edited Video Detection via Spatial Patch-Level Incoherence and Temporal Roughness ECCV 2026 [V] Training-free, Patch-level Incoherence, Temporal Roughness, Ultra-low FPR GitHub
Training-free Detection of Generated Videos via Spatial-Temporal Likelihoods CVPR 2026 [V] Training-free, Zero-shot, Spatial-Temporal Likelihoods, ComGenVid Dataset GitHub

Frequency-Domain & Low-Level Artifacts

Methods based on spectral analysis, quantization/upsampling traces, and other low-level generative artifacts.

Title Venue & Year Modality Highlights/Keywords Code
Structured Local Differential Modeling for AI-Generated Image Detection Arxiv 2026 [I] RippleNet, Local Differential Signals, Low-SNR Forgery Traces N/A
Dual Data Alignment Makes AI-Generated Image Detector Easier Generalizable NeurIPS 2025 (Spotlight) [I] Dual-domain Alignment, Frequency-level Bias, VAE Reconstruction GitHub
D3QE: Learning Discrete Distribution Discrepancy-aware Quantization Error for Autoregressive-Generated Image Detection ICCV 2025 [I] Discrete Distribution Discrepancy-aware Transformer, Vector Quantized Variational AutoEncoder Github
Any-Resolution AI-Generated Image Detection by Spectral Learning CVPR 2025 [I] Spectral Context Attention, Frequency Reconstruction, OOD Detection Github
Frequency-Aware Deepfake Detection: Improving Generalizability through Frequency Space Domain Learning AAAI 2024 [I] Frequency Domain, FFT, Frequency Conv Layer (FCL), Lightweight GitHub
Rethinking the Up-Sampling Operations in CNN-based Generative Network CVPR 2024 [I] Neighboring Pixel Relationships, Generalized Structural Artifacts Github

Continual & Incremental Learning

Methods that keep adapting detectors to evolving generators without catastrophic forgetting.

Title Venue & Year Modality Highlights/Keywords Code
Preserving Knowledge across Space and Time for Continual Video Deepfake Detection ECCV 2026 [V] Modality-Specific Frequency Distillation, Spatial/Temporal/Spatiotemporal Decomposition, Cross-Modality Decorrelation GitHub
Automated In-the-Wild Data Collection for Continual AI Generated Image Detection Arxiv 2026 [I] Continual Learning, Continual Data Collection GitHub
IncreFA: Breaking the Static Wall of Generative Model Attribution Arxiv 2026 [I] Incremental Learning, Generative Model Attribution GitHub
SAIDO: Generalizable Detection of AI-Generated Images via Scene-Aware and Importance-Guided Dynamic Optimization in Continual Learning CVPR 2026 [I] Scene-aware optimization, Continual learning GitHub
Generalizable and Adaptive Continual Learning Framework for AI-generated Image Detection TMM 2026 [I] Continual Learning, Kronecker-Factored Approximate Curvature N/A

Related & Other

Papers related to AI-generated content safety (e.g., provenance/watermarking, misinformation verification) that do not fit the subcategories above.

Title Venue & Year Modality Highlights/Keywords Code
APT: Anchor-aligned Perturbations for Tamper Localization in Fully Regenerated Images ECCV 2026 [I] [Proactive Forensics] Semi-Fragile Latent Perturbation, Fully Regenerated (Inpainting) Setting, Anchor-Direction Alignment N/A
Training-Free Reconstruction-Based AI-Generated Image Detectors Are Inherently Vulnerable to Adversarial Examples ECCV 2026 Workshop [I] [Robustness Analysis] Reconstruction-based Detector Attacks, Transferable Adversarial Examples, Real-world Degradations N/A
Can We Defend Against AI-Generated Video Attacks on Real-World Crisis Events? A Systematic Evaluation of Detectors, Generators and Social Dissemination Arxiv 2026 [V] [Evaluation] RA-Bench, Crisis Event Videos, Detector Generalization, Social Dissemination N/A
When Seeing Is Not Believing -- A Benchmark for Search-Grounded Video Misinformation Detection Arxiv 2026 [V] Search-Grounded Verification, EVID-Bench, Evidence-Dependent Manipulation N/A
Robust ASIC-Based Image Authentication Using Reed-Solomon LSB Watermarking Preprint 2026 [I] ASIC PoW, Hardware-bound Provenance, Reed-Solomon Watermarking GitHub

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Competitions

Competition Link Year Info
Robust AIGC Detection NTIRE 2026 Robust AI-Generated Image Detection in the Wild 2026 No restrictions on training data.
Evaluate ROC AUC metrics on robust samples.
Robust Deepfake Detection NTIRE 2026 Robust Deepfake Detection Challenge 2026 No restrictions on training data.
The 6th Face Anti-spoofing Challenge The 6th Face Anti-Spoofing: Unified Physical-Digital Attacks Detection@ICCV2025 2025 No external data or pre-trained models allowed.
Limited to a single DL model with under 100G FLOPs.
Detect AI vs. Human-Generated Images 2025 Women in AI (WAI) Kaggle Challenge 2025 Paired dataset of authentic and AI-generated images
The 5th Face Anti-spoofing Challenge 5th Chalearn Face Anti-spoofing Workshop and Challenge@CVPR2024 2024 UniAttackData+ for unified physical and digital attack detection.

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Practical Detection Tools

  • 美亚鉴真 - 微信小程序搜索 美亚鉴真
  • SiliconSignature - GitHub - Hardware-bound image authentication using ASIC PoW nonces for unforgeable provenance certification
  • EyeSift - Website - Free online AI text/image/video/audio detector with detailed per-model benchmarks
  • Hive Moderation - Website
  • Tencent Zhuque AI Detection Assistant - Website
  • AI or Not - Website
  • Illuminarty - Website
  • Winston AI - Website
  • Is it AI? - Website
  • TruthScan - Website
  • 中科睿鉴 (Zhongke Ruijian) - 微信小程序搜索 睿鉴AI

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🏢 About Our Team

We are the Content Security Intelligence Team under Ant Group - Machine Intelligence. We are responsible for developing comprehensive content security and risk-mitigation capabilities for the Ant Group ecosystem, bridging the gap between rapidly evolving technologies and the urgent need for digital trust.

Why We Do It

In an era where synthetic media is increasingly sophisticated and pervasive, our research serves as a critical line of defense. By advancing AIGC detection technologies, we aim to:

  • Safeguard Digital Integrity: We provide essential defense mechanisms to protect the authenticity of visual content and combat the spread of misinformation in the digital space.
  • Empower Trust: Our solutions ensure the public can distinguish between genuine and synthetic media, fostering a more transparent and trustworthy digital ecosystem.
  • Industrial Application & Impact: We provide robust, scalable aigc detection solutions for Ant Group’s diverse content platforms, including Lingguang, Jingtan, and many others.

🤝 Collaborators

We are honored to collaborate with esteemed researchers and scholars in the field of AI and Computer Vision. We deeply value these academic partnerships that drive our innovation:

  • Prof. Jun Wan (万军) | CASIA & UCAS
    • Research Interests: Biometrics, Face Anti-spoofing, Gesture Recognition, and Computer Vision.
    • [Homepage]
  • Prof. Jianfu Zhang (张健夫) | Shanghai Jiao Tong University
    • Research Interests: Computer Vision, Pattern Recognition, and Image/Video Analysis & Synthesis.
    • [Homepage]
  • Prof. Zhuosheng Zhang (张倬胜) | Shanghai Jiao Tong University
    • Research Interests: Natural Language Processing, Large Language Models, and Multi-modal Learning.
    • [Homepage]

📝 Academic Publications

  • Veritas++: Value-aware On-Policy Distillation for Perception-Enhanced AIGI Detection | arXiv, 2026
    • Highlights: Strengthened fine-grained visual perception for explainable AIGI detection through perception-oriented learning and value-aware on-policy distillation.
    • [Paper] [Code]
  • VideoVeritas: AI-Generated Video Detection via Perception Pretext Reinforcement Learning | ICML'26, 2026
    • Highlights: Detected AI-generated videos using perception pretext reinforcement learning to capture temporal inconsistencies.
    • [Paper] [Code]
  • Locate-Then-Examine: Grounded Region Reasoning Improves Detection of AI-Generated Images | CVPR'26, 2026
    • Highlights: Improved detection accuracy through a two-stage approach of localizing suspicious regions followed by detailed examination.
    • [Code]
  • GAMMA: Generalizable Alignment via Multi-task and Manipulation-Augmented Training for AI-Generated Image Detection | ICASSP'26, 2026
    • Highlights: Enhanced generalization through multi-task learning and manipulation-augmented training strategies.
    • [Paper]
  • FakeXplain: AI-Generated Image Detection via Human-Aligned Grounded Reasoning | ICLR'26, 2026
    • Highlights: Detected AI-generated images through human-aligned grounded reasoning, providing interpretable visual evidence.
    • [Paper] [Code]
  • Veritas: Generalizable deepfake detection via pattern-aware reasoning | ICLR'26 Oral, 2026
    • Highlights: Achieved generalizable deepfake detection through pattern-aware reasoning, improving robustness across diverse manipulation types.
    • [Paper] [Code]
  • Generalizable and Adaptive Continual Learning Framework for AI-generated Image Detection | IEEE TMM, 2025
    • Highlights: Proposed a continual learning framework that adapts to new generative models while mitigating catastrophic forgetting.
    • [Paper]
  • Towards explainable fake image detection with multi-modal large language models | ACM MM'25, 2025
    • Highlights: Leveraged multi-modal large language models to provide human-interpretable explanations for fake image detection.
    • [Paper]
  • WildFake: A Large-scale Challenging Dataset for AI-Generated Images Detection | AAAI'25 Oral, 2024
    • Highlights: Introduced the largest and most comprehensive AIGC image dataset at the time, providing a challenging benchmark for detection models.
    • [Paper]

🏆 Competition Achievements

  • 1st Place Winner | NTIRE 2026 Robust AI-Generated Image Detection in the Wild Challenge
    • Secured the top rank in ROC AUC for delivering superior performance in large-scale, real-world AI-generated image detection.
    • [Challenge Website]
  • 1st Place Winner | ICCV 2025 VQualA Challenge - Image Super-Resolution Generated Content Quality Assessment, 2025
    • Achieved top performance in the VQualA 2025 challenge focused on assessing the quality of super-resolution generated content.
    • [Paper 1] [Paper 2]
  • 1st Place Winner | CVPR 2024 Face Anti-Spoofing Challenge, 2024
    • Secured first place in the prestigious Face Anti-Spoofing Challenge at CVPR 2024, demonstrating state-of-the-art detection capabilities.
    • [Challenge Website]

🛠️ Open-Source Resources

  • WildFake - A large and comprehensive AIGC image detection dataset.
  • GenVideo - A large and comprehensive AIGC video detection dataset.
  • HydraFake - A large-scale challenging dataset for AI-generated image detection.
  • MintVid - A comprehensive video dataset for AIGC detection research.

✉️ Contact Us

For questions or collaborations, please contact:

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A curated collection of the latest research and resources on AI-Generated Image and Video Detection.

github.com/ant-research/Awesome-AIGC-Image-Video-Detection

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