fake image detection

SimLBR: Learning to Detect Fake Images by Learning to Detect Real Images CVPR 2026 When Understanding Becomes a Risk: Authenticity and Safety Risks in the Emerging Image Generation Paradigm CVPR 2026 Aligned Datasets Improve Detection of Latent Diffusion-Generated Images ICLR 2025 Community Forensics: Using Thousands of Generators to Train Fake Image Detectors CVPR 2025 Detecting Origin Attribution for Text-to-Image Diffusion Models WACV 2025 Human vs. AI: A Novel Benchmark and a Comparative Study on the Detection of Generated Images and the Impact of Prompts COLING 2025 Reducing the Content Bias for AI-Generated Image Detection WACV 2025 Semantic Discrepancy-aware Detector for Image Forgery Identification ICCV 2025 Transfer Learning of Real Image Features with Soft Contrastive Loss for Fake Image Detection AAAI 2025 WildFake: A Large-Scale and Hierarchical Dataset for AI-Generated Images Detection AAAI 2025 GenImage: A Million-Scale Benchmark for Detecting AI-Generated Image NeurIPS 2023 Learning on Gradients: Generalized Artifacts Representation for GAN-Generated Images Detection CVPR 2023 Seeing is not always believing: Benchmarking Human and Model Perception of AI-Generated Images NeurIPS 2023 Towards Universal Fake Image Detectors That Generalize Across Generative Models CVPR 2023 Deepfake Network Architecture Attribution AAAI 2022 Think Twice Before Detecting GAN-Generated Fake Images From Their Spectral Domain Imprints CVPR 2022 Spectral Distribution Aware Image Generation AAAI 2021 Fourier Spectrum Discrepancies in Deep Network Generated Images NeurIPS 2020 Generate, Segment, and Refine: Towards Generic Manipulation Segmentation AAAI 2020 Attributing Fake Images to GANs: Learning and Analyzing GAN Fingerprints ICCV 2019 Detecting Photoshopped Faces by Scripting Photoshop ICCV 2019