{"list":"other","total":52,"rows":[{"id":"1512.03385","title":"Deep Residual Learning for Image Recognition","created":"2015-12-10","cited_by_count":52096},{"id":"2006.11239","title":"Denoising Diffusion Probabilistic Models","created":"2020-06-19","cited_by_count":21076},{"id":"2112.10752","title":"High-Resolution Image Synthesis with Latent Diffusion Models","created":"2021-12-20","cited_by_count":18863},{"id":"1405.0312","title":"Microsoft COCO: Common Objects in Context","created":"2014-05-01","cited_by_count":17608},{"id":"2010.02502","title":"Denoising Diffusion Implicit Models","created":"2020-10-06","cited_by_count":9781},{"id":"2502.13923","title":"Qwen2.5-VL Technical Report","created":"2025-02-19","cited_by_count":5587},{"id":"1411.4038","title":"Fully Convolutional Networks for Semantic Segmentation","created":"2014-11-14","cited_by_count":4859},{"id":"2307.01952","title":"SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis","created":"2023-07-04","cited_by_count":4356},{"id":"1802.02611","title":"Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation","created":"2018-02-07","cited_by_count":3223},{"id":"2105.15203","title":"SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers","created":"2021-05-31","cited_by_count":2940},{"id":"1706.05587","title":"Rethinking Atrous Convolution for Semantic Image Segmentation","created":"2017-06-17","cited_by_count":2161},{"id":"2108.01073","title":"SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations","created":"2021-08-02","cited_by_count":1937},{"id":"2401.14159","title":"Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks","created":"2024-01-25","cited_by_count":929},{"id":"1912.11035","title":"CNN-generated images are surprisingly easy to spot... for now","created":"2019-12-23","cited_by_count":847},{"id":"2302.10174","title":"Towards Universal Fake Image Detectors that Generalize Across Generative Models","created":"2023-02-20","cited_by_count":490},{"id":"2411.15098","title":"OminiControl: Minimal and Universal Control for Diffusion Transformer","created":"2024-11-22","cited_by_count":340},{"id":"2306.08571","title":"GenImage: A Million-Scale Benchmark for Detecting AI-Generated Image","created":"2023-06-14","cited_by_count":321},{"id":"1811.00661","title":"Exposing Deep Fakes Using Inconsistent Head Poses","created":"2018-11-01","cited_by_count":297},{"id":"1910.01717","title":"On the Detection of Digital Face Manipulation","created":"2019-10-03","cited_by_count":260},{"id":"2304.06790","title":"Inpaint Anything: Segment Anything Meets Image Inpainting","created":"2023-04-13","cited_by_count":233},{"id":"2403.06976","title":"BrushNet: A Plug-and-Play Image Inpainting Model with Decomposed Dual-Branch Diffusion","created":"2024-03-11","cited_by_count":202},{"id":"2305.20030","title":"Tree-Ring Watermarks: Fingerprints for Diffusion Images that are Invisible and Robust","created":"2023-05-31","cited_by_count":187},{"id":"2312.03594","title":"A Task is Worth One Word: Learning with Task Prompts for High-Quality Versatile Image Inpainting","created":"2023-12-06","cited_by_count":169},{"id":"2312.00195","title":"Raising the Bar of AI-generated Image Detection with CLIP","created":"2023-11-30","cited_by_count":164},{"id":"2404.13686","title":"Hyper-SD: Trajectory Segmented Consistency Model for Efficient Image Synthesis","created":"2024-04-21","cited_by_count":156},{"id":"2303.17111","title":"Hierarchical Fine-Grained Image Forgery Detection and Localization","created":"2023-03-30","cited_by_count":134},{"id":"2103.10596","title":"PSCC-Net: Progressive Spatio-Channel Correlation Network for Image Manipulation Detection and Localization","created":"2021-03-19","cited_by_count":133},{"id":"2212.10957","title":"TruFor: Leveraging all-round clues for trustworthy image forgery detection and localization","created":"2022-12-21","cited_by_count":130},{"id":"2103.05630","title":"ForgeryNet: A Versatile Benchmark for Comprehensive Forgery Analysis","created":"2021-03-09","cited_by_count":126},{"id":"2311.12397","title":"PatchCraft: Exploring Texture Patch for Efficient AI-generated Image Detection","created":"2023-11-21","cited_by_count":122},{"id":"2503.07027","title":"EasyControl: Adding Efficient and Flexible Control for Diffusion Transformer","created":"2025-03-10","cited_by_count":119},{"id":"2405.04007","title":"SEED-Data-Edit Technical Report: A Hybrid Dataset for Instructional Image Editing","created":"2024-05-07","cited_by_count":97},{"id":"2404.14055","title":"RingID: Rethinking Tree-Ring Watermarking for Enhanced Multi-Key Identification","created":"2024-04-22","cited_by_count":91},{"id":"2303.14126","title":"CIFAKE: Image Classification and Explainable Identification of AI-Generated Synthetic Images","created":"2023-03-24","cited_by_count":84},{"id":"2310.15150","title":"Online Detection of AI-Generated Images","created":"2023-10-23","cited_by_count":55},{"id":"2411.07231","title":"Watermark Anything with Localized Messages","created":"2024-11-11","cited_by_count":53},{"id":"2107.14480","title":"OpenForensics: Large-Scale Challenging Dataset For Multi-Face Forgery Detection And Segmentation In-The-Wild","created":"2021-07-30","cited_by_count":50},{"id":"2409.15875","title":"Zero-Shot Detection of AI-Generated Images","created":"2024-09-24","cited_by_count":50},{"id":"2410.05470","title":"Image Watermarks are Removable Using Controllable Regeneration from Clean Noise","created":"2024-10-07","cited_by_count":50},{"id":"2003.10596","title":"Adversarial Perturbations Fool Deepfake Detectors","created":"2020-03-24","cited_by_count":48},{"id":"2406.06062","title":"ProcessPainter: Learn Painting Process from Sequence Data","created":"2024-06-10","cited_by_count":38},{"id":"2406.08337","title":"WMAdapter: Adding WaterMark Control to Latent Diffusion Models","created":"2024-06-12","cited_by_count":31},{"id":"2412.11638","title":"IDProtector: An Adversarial Noise Encoder to Protect Against ID-Preserving Image Generation","created":"2024-12-16","cited_by_count":22},{"id":"2412.05980","title":"Anti-Reference: Universal and Immediate Defense Against Reference-Based Generation","created":"2024-12-08","cited_by_count":18},{"id":"2504.11922","title":"Zooming In on Fakes: A Novel Dataset for Localized AI-Generated Image Detection with Forgery Amplification Approach","created":"2025-04-16","cited_by_count":17},{"id":"2503.14378","title":"Impossible Videos","created":"2025-03-18","cited_by_count":16},{"id":"2510.16320","title":"Scaling Laws for Deepfake Detection","created":"2025-10-18","cited_by_count":5},{"id":"2311.08910","title":"Progressive Feedback-Enhanced Transformer for Image Forgery Localization","created":"2023-11-15","cited_by_count":4},{"id":"2406.01489","title":"DA-HFNet: Progressive Fine-Grained Forgery Image Detection and Localization Based on Dual Attention","created":"2024-06-03","cited_by_count":4},{"id":"2508.21727","title":"OptMark: Robust Multi-bit Diffusion Watermarking via Inference Time Optimization","created":"2025-08-29","cited_by_count":2},{"id":"2510.01173","title":"EditTrack: Detecting and Attributing AI-assisted Image Editing","created":"2025-10-01","cited_by_count":2},{"id":"2509.10250","title":"GAMMA: Generalizable Alignment via Multi-task and Manipulation-Augmented Training for AI-Generated Image Detection","created":"2025-09-12","cited_by_count":1}],"next_cursor":null}