{"list":"other","total":53,"rows":[{"id":"1512.03385","title":"Deep Residual Learning for Image Recognition","created":"2015-12-10","cited_by_count":52096},{"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":"2105.05233","title":"Diffusion Models Beat GANs on Image Synthesis","created":"2021-05-11","cited_by_count":8255},{"id":"2104.14294","title":"Emerging Properties in Self-Supervised Vision Transformers","created":"2021-04-29","cited_by_count":6968},{"id":"1610.02391","title":"Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization","created":"2016-10-07","cited_by_count":6733},{"id":"2204.06125","title":"Hierarchical Text-Conditional Image Generation with CLIP Latents","created":"2022-04-13","cited_by_count":6585},{"id":"1812.04948","title":"A Style-Based Generator Architecture for Generative Adversarial Networks","created":"2018-12-12","cited_by_count":6013},{"id":"2312.00752","title":"Mamba: Linear-Time Sequence Modeling with Selective State Spaces","created":"2023-12-01","cited_by_count":4718},{"id":"2307.01952","title":"SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis","created":"2023-07-04","cited_by_count":4356},{"id":"2102.12092","title":"Zero-Shot Text-to-Image Generation","created":"2021-02-24","cited_by_count":4288},{"id":"2112.10741","title":"GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models","created":"2021-12-20","cited_by_count":3614},{"id":"1912.04958","title":"Analyzing and Improving the Image Quality of StyleGAN","created":"2019-12-03","cited_by_count":3588},{"id":"1710.10196","title":"Progressive Growing of GANs for Improved Quality, Stability, and Variation","created":"2017-10-27","cited_by_count":2988},{"id":"1809.11096","title":"Large Scale GAN Training for High Fidelity Natural Image Synthesis","created":"2018-09-28","cited_by_count":2626},{"id":"2111.00396","title":"Efficiently Modeling Long Sequences with Structured State Spaces","created":"2021-10-31","cited_by_count":2465},{"id":"1903.07291","title":"Semantic Image Synthesis with Spatially-Adaptive Normalization","created":"2019-03-18","cited_by_count":1299},{"id":"1901.08971","title":"FaceForensics++: Learning to Detect Manipulated Facial Images","created":"2019-01-25","cited_by_count":1101},{"id":"2401.09417","title":"Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model","created":"2024-01-17","cited_by_count":1056},{"id":"1711.09020","title":"StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation","created":"2017-11-24","cited_by_count":1039},{"id":"2401.10166","title":"VMamba: Visual State Space Model","created":"2024-01-18","cited_by_count":969},{"id":"1912.11035","title":"CNN-generated images are surprisingly easy to spot... for now","created":"2019-12-23","cited_by_count":847},{"id":"2111.14822","title":"Vector Quantized Diffusion Model for Text-to-Image Synthesis","created":"2021-11-29","cited_by_count":774},{"id":"2003.08685","title":"Leveraging Frequency Analysis for Deep Fake Image Recognition","created":"2020-03-19","cited_by_count":504},{"id":"2302.10174","title":"Towards Universal Fake Image Detectors that Generalize Across Generative Models","created":"2023-02-20","cited_by_count":490},{"id":"1805.01934","title":"Learning to See in the Dark","created":"2018-05-04","cited_by_count":460},{"id":"2303.09295","title":"DIRE for Diffusion-Generated Image Detection","created":"2023-03-16","cited_by_count":390},{"id":"2504.13181","title":"Perception Encoder: The best visual embeddings are not at the output of the network","created":"2025-04-17","cited_by_count":326},{"id":"2211.00680","title":"On the detection of synthetic images generated by diffusion models","created":"2022-11-01","cited_by_count":283},{"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":"1707.09405","title":"Photographic Image Synthesis with Cascaded Refinement Networks","created":"2017-07-28","cited_by_count":223},{"id":"2406.19435","title":"A Sanity Check for AI-generated Image Detection","created":"2024-06-27","cited_by_count":189},{"id":"2312.16649","title":"Forgery-aware Adaptive Transformer for Generalizable Synthetic Image Detection","created":"2023-12-27","cited_by_count":182},{"id":"2312.00195","title":"Raising the Bar of AI-generated Image Detection with CLIP","created":"2023-11-30","cited_by_count":164},{"id":"1903.06836","title":"Detecting GAN generated Fake Images using Co-occurrence Matrices","created":"2019-03-15","cited_by_count":124},{"id":"2408.09647","title":"C2P-CLIP: Injecting Category Common Prompt in CLIP to Enhance Generalization in Deepfake Detection","created":"2024-08-19","cited_by_count":113},{"id":"2402.19091","title":"Leveraging Representations from Intermediate Encoder-blocks for Synthetic Image Detection","created":"2024-02-29","cited_by_count":89},{"id":"2408.06741","title":"Improving Synthetic Image Detection Towards Generalization: An Image Transformation Perspective","created":"2024-08-13","cited_by_count":89},{"id":"1811.12373","title":"Diverse Image Synthesis from Semantic Layouts via Conditional IMLE","created":"2018-11-29","cited_by_count":60},{"id":"2007.12909","title":"CNN Detection of GAN-Generated Face Images based on Cross-Band Co-occurrences Analysis","created":"2020-07-25","cited_by_count":42},{"id":"2410.11835","title":"Aligned Datasets Improve Detection of Latent Diffusion-Generated Images","created":"2024-10-15","cited_by_count":36},{"id":"2408.13697","title":"ForgeLens: Data-Efficient Forgery Focus for Generalizable Forgery Image Detection","created":"2024-08-25","cited_by_count":15},{"id":"2502.07778","title":"Stay-Positive: A Case for Ignoring Real Image Features in Fake Image Detection","created":"2025-02-11","cited_by_count":11},{"id":"2501.11902","title":"Transferable Adversarial Attacks on Audio Deepfake Detection","created":"2025-01-21","cited_by_count":9},{"id":"2508.01603","title":"Towards Generalizable AI-Generated Image Detection via Image-Adaptive Prompt Learning","created":"2025-08-03","cited_by_count":9},{"id":"2509.07132","title":"Adversarial Attacks on Audio Deepfake Detection: A Benchmark and Comparative Study","created":"2025-09-08","cited_by_count":7},{"id":"2511.02791","title":"AI-Generated Image Detection: An Empirical Study and Future Research Directions","created":"2025-11-04","cited_by_count":5},{"id":"2603.26036","title":"Face2Parts: Exploring Coarse-to-Fine Inter-Regional Facial Dependencies for Generalized Deepfake Detection","created":"2026-03-27","cited_by_count":4},{"id":"2507.13170","title":"SHIELD: A Secure and Highly Enhanced Integrated Learning for Robust Deepfake Detection against Adversarial Attacks","created":"2025-07-17","cited_by_count":3},{"id":"2603.27800","title":"Diversity Matters: Dataset Diversification and Dual-Branch Network for Generalized AI-Generated Image Detection","created":"2026-03-29","cited_by_count":3},{"id":"2607.08674","title":"Do Transformations Reveal the Truth? Generative Residual Learning for Generalized AI-Generated Image Detection","created":"2026-07-09","cited_by_count":2},{"id":"2508.01525","title":"MiraGe: Multimodal Discriminative Representation Learning for Generalizable AI-Generated Image Detection","created":"2025-08-03","cited_by_count":1},{"id":"2607.28769","title":"Uncertainty-Aware Deepfake Detection via Multi-View Structural Learning","created":"2026-07-30","cited_by_count":1}],"next_cursor":null}