{"list":"other","total":55,"rows":[{"id":"2103.00020","title":"Learning Transferable Visual Models From Natural Language Supervision","created":"2021-02-26","cited_by_count":33744},{"id":"2112.10752","title":"High-Resolution Image Synthesis with Latent Diffusion Models","created":"2021-12-20","cited_by_count":18863},{"id":"2201.03545","title":"A ConvNet for the 2020s","created":"2022-01-10","cited_by_count":3579},{"id":"2511.21631","title":"Qwen3-VL Technical Report","created":"2025-11-26","cited_by_count":2793},{"id":"2508.10104","title":"DINOv3","created":"2025-08-13","cited_by_count":1414},{"id":"1901.08971","title":"FaceForensics++: Learning to Detect Manipulated Facial Images","created":"2019-01-25","cited_by_count":1101},{"id":"1909.12962","title":"Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics","created":"2019-09-27","cited_by_count":575},{"id":"2007.09355","title":"Thinking in Frequency: Face Forgery Detection by Mining Frequency-aware Clues","created":"2020-07-18","cited_by_count":523},{"id":"2003.08685","title":"Leveraging Frequency Analysis for Deep Fake Image Recognition","created":"2020-03-19","cited_by_count":504},{"id":"1912.13458","title":"Face X-ray for More General Face Forgery Detection","created":"2019-12-31","cited_by_count":470},{"id":"2204.08376","title":"Detecting Deepfakes with Self-Blended Images","created":"2022-04-18","cited_by_count":338},{"id":"2012.07657","title":"Lips Don't Lie: A Generalisable and Robust Approach to Face Forgery Detection","created":"2020-12-14","cited_by_count":287},{"id":"2003.01826","title":"Watch your Up-Convolution: CNN Based Generative Deep Neural Networks are Failing to Reproduce Spectral Distributions","created":"2020-03-03","cited_by_count":280},{"id":"2103.12376","title":"Generalizing Face Forgery Detection with High-frequency Features","created":"2021-03-23","cited_by_count":262},{"id":"2001.03024","title":"DeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery Detection","created":"2020-01-09","cited_by_count":254},{"id":"2103.01856","title":"Spatial-Phase Shallow Learning: Rethinking Face Forgery Detection in Frequency Domain","created":"2021-03-02","cited_by_count":244},{"id":"2001.00179","title":"DeepFakes and Beyond: A Survey of Face Manipulation and Fake Detection","created":"2020-01-01","cited_by_count":233},{"id":"2101.01456","title":"WildDeepfake: A Challenging Real-World Dataset for Deepfake Detection","created":"2021-01-05","cited_by_count":209},{"id":"2304.13949","title":"UCF: Uncovering Common Features for Generalizable Deepfake Detection","created":"2023-04-27","cited_by_count":180},{"id":"2012.09311","title":"Learning Self-Consistency for Deepfake Detection","created":"2020-12-16","cited_by_count":179},{"id":"2203.12208","title":"Self-supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection","created":"2022-03-23","cited_by_count":173},{"id":"2307.01426","title":"DeepfakeBench: A Comprehensive Benchmark of Deepfake Detection","created":"2023-07-04","cited_by_count":166},{"id":"2108.06693","title":"Exploring Temporal Coherence for More General Video Face Forgery Detection","created":"2021-08-15","cited_by_count":159},{"id":"2006.07397","title":"The DeepFake Detection Challenge (DFDC) Dataset","created":"2020-06-12","cited_by_count":132},{"id":"2201.07131","title":"Leveraging Real Talking Faces via Self-Supervision for Robust Forgery Detection","created":"2022-01-18","cited_by_count":130},{"id":"2406.13495","title":"DF40: Toward Next-Generation Deepfake Detection","created":"2024-06-19","cited_by_count":129},{"id":"2311.11278","title":"Transcending Forgery Specificity with Latent Space Augmentation for Generalizable Deepfake Detection","created":"2023-11-19","cited_by_count":127},{"id":"2410.02761","title":"FakeShield: Explainable Image Forgery Detection and Localization via Multi-modal Large Language Models","created":"2024-10-03","cited_by_count":113},{"id":"2412.04292","title":"SIDA: Social Media Image Deepfake Detection, Localization and Explanation with Large Multimodal Model","created":"2024-12-05","cited_by_count":108},{"id":"2411.15633","title":"Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection","created":"2024-11-23","cited_by_count":105},{"id":"2401.13856","title":"LAA-Net: Localized Artifact Attention Network for Quality-Agnostic and Generalizable Deepfake Detection","created":"2024-01-24","cited_by_count":89},{"id":"2307.08317","title":"AltFreezing for More General Video Face Forgery Detection","created":"2023-07-17","cited_by_count":78},{"id":"2206.02749","title":"CORE: Consistent Representation Learning for Face Forgery Detection","created":"2022-06-06","cited_by_count":74},{"id":"2503.14905","title":"Spot the Fake: Large Multimodal Model-Based Synthetic Image Detection with Artifact Explanation","created":"2025-03-19","cited_by_count":68},{"id":"2412.17671","title":"A Bias-Free Training Paradigm for More General AI-generated Image Detection","created":"2024-12-23","cited_by_count":67},{"id":"2503.15264","title":"LEGION: Learning to Ground and Explain for Synthetic Image Detection","created":"2025-03-19","cited_by_count":65},{"id":"2507.22062","title":"Meta CLIP 2: A Worldwide Scaling Recipe","created":"2025-07-29","cited_by_count":64},{"id":"2505.14359","title":"Dual Data Alignment Makes AI-Generated Image Detector Easier Generalizable","created":"2025-05-20","cited_by_count":60},{"id":"2408.17065","title":"Generalizing Deepfake Video Detection with Plug-and-Play: Video-Level Blending and Spatiotemporal Adapter Tuning","created":"2024-08-30","cited_by_count":59},{"id":"2008.04585","title":"Sharp Multiple Instance Learning for DeepFake Video Detection","created":"2020-08-11","cited_by_count":55},{"id":"2408.17052","title":"Can We Leave Deepfake Data Behind in Training Deepfake Detector?","created":"2024-08-30","cited_by_count":49},{"id":"2404.04584","title":"D$^3$: Scaling Up Deepfake Detection by Learning from Discrepancy","created":"2024-04-06","cited_by_count":45},{"id":"2503.18286","title":"CO-SPY: Combining Semantic and Pixel Features to Detect Synthetic Images by AI","created":"2025-03-24","cited_by_count":42},{"id":"2404.05583","title":"Towards More General Video-based Deepfake Detection through Facial Component Guided Adaptation for Foundation Model","created":"2024-04-08","cited_by_count":38},{"id":"2409.14444","title":"Fake It till You Make It: Curricular Dynamic Forgery Augmentations towards General Deepfake Detection","created":"2024-09-22","cited_by_count":31},{"id":"2404.08452","title":"MoE-FFD: Mixture of Experts for Generalized and Parameter-Efficient Face Forgery Detection","created":"2024-04-12","cited_by_count":27},{"id":"2501.04376","title":"Exploring Unbiased Deepfake Detection via Token-Level Shuffling and Mixing","created":"2025-01-08","cited_by_count":27},{"id":"2407.10550","title":"Learning Natural Consistency Representation for Face Forgery Video Detection","created":"2024-07-15","cited_by_count":26},{"id":"2508.21048","title":"Veritas: Generalizable Deepfake Detection via Pattern-Aware Reasoning","created":"2025-08-28","cited_by_count":23},{"id":"2403.10261","title":"Learning Spatiotemporal Inconsistency via Thumbnail Layout for Face Deepfake Detection","created":"2024-03-15","cited_by_count":21},{"id":"2508.06248","title":"Deepfake Detection that Generalizes Across Benchmarks","created":"2025-08-08","cited_by_count":21},{"id":"2303.00917","title":"Enhancing General Face Forgery Detection via Vision Transformer with Low-Rank Adaptation","created":"2023-03-02","cited_by_count":16},{"id":"2602.02222","title":"MIRROR: Manifold Ideal Reference ReconstructOR for Generalizable AI-Generated Image Detection","created":"2026-02-02","cited_by_count":11},{"id":"2509.12995","title":"Brought a Gun to a Knife Fight: Modern VFM Baselines Outgun Specialized Detectors on In-the-Wild AI Image Detection","created":"2025-09-16","cited_by_count":10},{"id":"2510.16320","title":"Scaling Laws for Deepfake Detection","created":"2025-10-18","cited_by_count":5}],"next_cursor":null}