{"total":205,"rows":[{"id":"2209.00796","title":"Diffusion Models: A Comprehensive Survey of Methods and Applications","created":"2022-09-02","cited_by_count":1114,"area":"diffusion"},{"id":"2311.18828","title":"One-step Diffusion with Distribution Matching Distillation","created":"2023-11-30","cited_by_count":1019,"area":"diffusion"},{"id":"2209.04747","title":"Diffusion Models in Vision: A Survey","created":"2022-09-10","cited_by_count":1015,"area":"diffusion"},{"id":"2211.01095","title":"DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models","created":"2022-11-02","cited_by_count":938,"area":"diffusion"},{"id":"2405.14867","title":"Improved Distribution Matching Distillation for Fast Image Synthesis","created":"2024-05-23","cited_by_count":684,"area":"diffusion"},{"id":"2208.06193","title":"Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning","created":"2022-08-12","cited_by_count":562,"area":"diffusion"},{"id":"2302.04867","title":"UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of Diffusion Models","created":"2023-02-09","cited_by_count":450,"area":"diffusion"},{"id":"2309.06380","title":"InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation","created":"2023-09-12","cited_by_count":395,"area":"diffusion"},{"id":"2410.11081","title":"Simplifying, Stabilizing and Scaling Continuous-Time Consistency Models","created":"2024-10-14","cited_by_count":283,"area":"diffusion"},{"id":"2404.04057","title":"Score identity Distillation: Exponentially Fast Distillation of Pretrained Diffusion Models for One-Step Generation","created":"2024-04-05","cited_by_count":214,"area":"diffusion"},{"id":"2306.04675","title":"Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models","created":"2023-06-07","cited_by_count":205,"area":"diffusion"},{"id":"2311.09257","title":"UFOGen: You Forward Once Large Scale Text-to-Image Generation via Diffusion GANs","created":"2023-11-14","cited_by_count":166,"area":"diffusion"},{"id":"2312.00195","title":"Raising the Bar of AI-generated Image Detection with CLIP","created":"2023-11-30","cited_by_count":164,"area":"mllm"},{"id":"2307.08698","title":"Flow Matching in Latent Space","created":"2023-07-17","cited_by_count":160,"area":"diffusion"},{"id":"2501.08316","title":"Diffusion Adversarial Post-Training for One-Step Video Generation","created":"2025-01-14","cited_by_count":151,"area":"diffusion"},{"id":"2303.17111","title":"Hierarchical Fine-Grained Image Forgery Detection and Localization","created":"2023-03-30","cited_by_count":134,"area":null},{"id":"2304.12526","title":"Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models","created":"2023-04-25","cited_by_count":133,"area":"diffusion"},{"id":"2210.14571","title":"Towards the Detection of Diffusion Model Deepfakes","created":"2022-10-26","cited_by_count":111,"area":"diffusion"},{"id":"2305.01115","title":"In-Context Learning Unlocked for Diffusion Models","created":"2023-05-01","cited_by_count":104,"area":"diffusion"},{"id":"2211.17091","title":"Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models","created":"2022-11-28","cited_by_count":100,"area":"diffusion"},{"id":"2405.07510","title":"PeRFlow: Piecewise Rectified Flow as Universal Plug-and-Play Accelerator","created":"2024-05-13","cited_by_count":97,"area":"diffusion"},{"id":"2410.21257","title":"One-Step Diffusion Policy: Fast Visuomotor Policies via Diffusion Distillation","created":"2024-10-28","cited_by_count":89,"area":"diffusion"},{"id":"2503.09641","title":"SANA-Sprint: One-Step Diffusion with Continuous-Time Consistency Distillation","created":"2025-03-12","cited_by_count":87,"area":"diffusion"},{"id":"2301.13362","title":"Optimizing DDPM Sampling with Shortcut Fine-Tuning","created":"2023-01-31","cited_by_count":81,"area":"diffusion"},{"id":"2302.03665","title":"HumanMAC: Masked Motion Completion for Human Motion Prediction","created":"2023-02-07","cited_by_count":81,"area":null},{"id":"2405.05967","title":"Distilling Diffusion Models into Conditional GANs","created":"2024-05-09","cited_by_count":78,"area":"diffusion"},{"id":"2403.03852","title":"Accelerating Convergence of Score-Based Diffusion Models, Provably","created":"2024-03-06","cited_by_count":76,"area":"diffusion"},{"id":"2309.05019","title":"SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models","created":"2023-09-10","cited_by_count":72,"area":"diffusion"},{"id":"2410.16794","title":"One-Step Diffusion Distillation through Score Implicit Matching","created":"2024-10-22","cited_by_count":71,"area":"diffusion"},{"id":"2210.05559","title":"Unifying Diffusion Models' Latent Space, with Applications to CycleDiffusion and Guidance","created":"2022-10-11","cited_by_count":67,"area":"diffusion"},{"id":"2402.17376","title":"Accelerating Diffusion Sampling with Optimized Time Steps","created":"2024-02-27","cited_by_count":67,"area":"diffusion"},{"id":"2310.17419","title":"AntifakePrompt: Prompt-Tuned Vision-Language Models are Fake Image Detectors","created":"2023-10-26","cited_by_count":64,"area":"mllm"},{"id":"2411.13383","title":"Adversarial Diffusion Compression for Real-World Image Super-Resolution","created":"2024-11-20","cited_by_count":52,"area":null},{"id":"2210.09292","title":"Efficient Diffusion Models for Vision: A Survey","created":"2022-10-07","cited_by_count":51,"area":"diffusion"},{"id":"2402.04292","title":"AdaFlow: Imitation Learning with Variance-Adaptive Flow-Based Policies","created":"2024-02-06","cited_by_count":50,"area":"offlinerl"},{"id":"2409.15875","title":"Zero-Shot Detection of AI-Generated Images","created":"2024-09-24","cited_by_count":50,"area":null},{"id":"2410.14919","title":"Adversarial Score identity Distillation: Rapidly Surpassing the Teacher in One Step","created":"2024-10-19","cited_by_count":47,"area":"diffusion"},{"id":"2402.03207","title":"Light and Optimal Schr\\\"odinger Bridge Matching","created":"2024-02-05","cited_by_count":45,"area":"diffusion"},{"id":"2405.19690","title":"Diffusion Policies creating a Trust Region for Offline Reinforcement Learning","created":"2024-05-30","cited_by_count":43,"area":"diffusion"},{"id":"2405.20112","title":"RIGID: A Training-free and Model-Agnostic Framework for Robust AI-Generated Image Detection","created":"2024-05-30","cited_by_count":36,"area":null},{"id":"2510.01329","title":"Continuously Augmented Discrete Diffusion model for Categorical Generative Modeling","created":"2025-10-01","cited_by_count":34,"area":"diffusion"},{"id":"2406.06382","title":"Diffusion-RPO: Aligning Diffusion Models through Relative Preference Optimization","created":"2024-06-10","cited_by_count":32,"area":"diffusion"},{"id":"2506.00523","title":"SenseFlow: Scaling Distribution Matching for Flow-based Text-to-Image Distillation","created":"2025-05-31","cited_by_count":32,"area":"diffusion"},{"id":"2412.09619","title":"SnapGen: Taming High-Resolution Text-to-Image Models for Mobile Devices with Efficient Architectures and Training","created":"2024-12-12","cited_by_count":27,"area":"diffusion"},{"id":"2303.09604","title":"DS-Fusion: Artistic Typography via Discriminated and Stylized Diffusion","created":"2023-03-16","cited_by_count":26,"area":"diffusion"},{"id":"2403.12931","title":"You Only Sample Once: Taming One-Step Text-to-Image Synthesis by Self-Cooperative Diffusion GANs","created":"2024-03-19","cited_by_count":26,"area":"diffusion"},{"id":"2503.16302","title":"Unleashing Vecset Diffusion Model for Fast Shape Generation","created":"2025-03-20","cited_by_count":26,"area":"diffusion"},{"id":"2403.01189","title":"Training Unbiased Diffusion Models From Biased Dataset","created":"2024-03-02","cited_by_count":25,"area":"diffusion"},{"id":"2310.12952","title":"Cousins Of The Vendi Score: A Family Of Similarity-Based Diversity Metrics For Science And Machine Learning","created":"2023-10-19","cited_by_count":24,"area":null},{"id":"2404.15677","title":"CharacterFactory: Sampling Consistent Characters with GANs for Diffusion Models","created":"2024-04-24","cited_by_count":24,"area":"diffusion"},{"id":"2409.11219","title":"Score Forgetting Distillation: A Swift, Data-Free Method for Machine Unlearning in Diffusion Models","created":"2024-09-17","cited_by_count":23,"area":"diffusion"},{"id":"2503.01103","title":"Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model is Secretly a GAN Discriminator","created":"2025-03-03","cited_by_count":23,"area":null},{"id":"2211.03264","title":"Few-shot Image Generation with Diffusion Models","created":"2022-11-07","cited_by_count":21,"area":"diffusion"},{"id":"2305.12554","title":"CoMusion: Towards Consistent Stochastic Human Motion Prediction via Motion Diffusion","created":"2023-05-21","cited_by_count":21,"area":null},{"id":"2305.16150","title":"Unifying GANs and Score-Based Diffusion as Generative Particle Models","created":"2023-05-25","cited_by_count":21,"area":"diffusion"},{"id":"2404.05980","title":"Tackling Structural Hallucination in Image Translation with Local Diffusion","created":"2024-04-09","cited_by_count":21,"area":"diffusion"},{"id":"2404.01959","title":"Bi-LORA: A Vision-Language Approach for Synthetic Image Detection","created":"2024-04-02","cited_by_count":20,"area":"diffusion"},{"id":"2506.00290","title":"DLM-One: Diffusion Language Models for One-Step Sequence Generation","created":"2025-05-30","cited_by_count":20,"area":"diffusion"},{"id":"2307.14397","title":"A Survey on Generative Modeling with Limited Data, Few Shots, and Zero Shot","created":"2023-07-26","cited_by_count":19,"area":null},{"id":"2410.04224","title":"Unleashing the Power of One-Step Diffusion based Image Super-Resolution via a Large-Scale Diffusion Discriminator","created":"2024-10-05","cited_by_count":19,"area":"diffusion"},{"id":"2304.04820","title":"Binary Latent Diffusion","created":"2023-04-10","cited_by_count":18,"area":"diffusion"},{"id":"2305.18375","title":"Learning to Jump: Thinning and Thickening Latent Counts for Generative Modeling","created":"2023-05-28","cited_by_count":18,"area":null},{"id":"2311.00941","title":"Gaussian Mixture Solvers for Diffusion Models","created":"2023-11-02","cited_by_count":18,"area":"diffusion"},{"id":"2401.08815","title":"Adversarial Supervision Makes Layout-to-Image Diffusion Models Thrive","created":"2024-01-16","cited_by_count":18,"area":"diffusion"},{"id":"2412.07583","title":"Mobile Video Diffusion","created":"2024-12-10","cited_by_count":18,"area":"diffusion"},{"id":"2508.16212","title":"OmniCache: A Trajectory-Oriented Global Perspective on Training-Free Cache Reuse for Diffusion Transformer Models","created":"2025-08-22","cited_by_count":18,"area":"diffusion"},{"id":"2211.05770","title":"Efficient Image Generation with Variadic Attention Heads","created":"2022-11-10","cited_by_count":17,"area":null},{"id":"2309.04399","title":"MaskDiffusion: Boosting Text-to-Image Consistency with Conditional Mask","created":"2023-09-08","cited_by_count":17,"area":"diffusion"},{"id":"2309.07867","title":"Beta Diffusion","created":"2023-09-14","cited_by_count":17,"area":"diffusion"},{"id":"2412.02030","title":"NitroFusion: High-Fidelity Single-Step Diffusion through Dynamic Adversarial Training","created":"2024-12-02","cited_by_count":17,"area":null},{"id":"2308.02157","title":"Improved Order Analysis and Design of Exponential Integrator for Diffusion Models Sampling","created":"2023-08-04","cited_by_count":16,"area":"diffusion"},{"id":"2509.25035","title":"Ultra-Fast Language Generation via Discrete Diffusion Divergence Instruct","created":"2025-09-29","cited_by_count":16,"area":"diffusion"},{"id":"2302.10907","title":"Diffusion Models in Bioinformatics: A New Wave of Deep Learning Revolution in Action","created":"2023-02-13","cited_by_count":15,"area":"diffusion"},{"id":"2303.16611","title":"4D Facial Expression Diffusion Model","created":"2023-03-29","cited_by_count":15,"area":"diffusion"},{"id":"2306.14153","title":"DomainStudio: Fine-Tuning Diffusion Models for Domain-Driven Image Generation using Limited Data","created":"2023-06-25","cited_by_count":15,"area":"diffusion"},{"id":"2503.19462","title":"AccVideo: Accelerating Video Diffusion Model with Synthetic Dataset","created":"2025-03-25","cited_by_count":15,"area":"diffusion"},{"id":"2306.12511","title":"Semi-Implicit Denoising Diffusion Models (SIDDMs)","created":"2023-06-21","cited_by_count":14,"area":"diffusion"},{"id":"2504.16081","title":"Survey of Video Diffusion Models: Foundations, Implementations, and Applications","created":"2025-04-22","cited_by_count":14,"area":"diffusion"},{"id":"2310.06389","title":"Learning Stackable and Skippable LEGO Bricks for Efficient, Reconfigurable, and Variable-Resolution Diffusion Modeling","created":"2023-10-10","cited_by_count":13,"area":"diffusion"},{"id":"2405.00196","title":"Synthetic Image Verification in the Era of Generative AI: What Works and What Isn't There Yet","created":"2024-04-30","cited_by_count":13,"area":null},{"id":"2406.01561","title":"Guided Score identity Distillation for Data-Free One-Step Text-to-Image Generation","created":"2024-06-03","cited_by_count":13,"area":"diffusion"},{"id":"2406.06644","title":"Latent Diffusion Model-Enabled Low-Latency Semantic Communication in the Presence of Semantic Ambiguities and Wireless Channel Noises","created":"2024-06-09","cited_by_count":13,"area":"diffusion"},{"id":"2406.10808","title":"Improving Probabilistic Diffusion Models With Optimal Diagonal Covariance Matching","created":"2024-06-16","cited_by_count":13,"area":"diffusion"},{"id":"2505.20755","title":"Uni-Instruct: One-step Diffusion Model through Unified Diffusion Divergence Instruction","created":"2025-05-27","cited_by_count":13,"area":"diffusion"},{"id":"2503.07699","title":"RayFlow: Instance-Aware Diffusion Acceleration via Adaptive Flow Trajectories","created":"2025-03-10","cited_by_count":12,"area":"diffusion"},{"id":"2505.12674","title":"Few-Step Diffusion via Score identity Distillation","created":"2025-05-19","cited_by_count":12,"area":"diffusion"},{"id":"2511.22475","title":"Adversarial Flow Models","created":"2025-11-27","cited_by_count":12,"area":null},{"id":"2310.18823","title":"Successfully Applying Lottery Ticket Hypothesis to Diffusion Model","created":"2023-10-28","cited_by_count":11,"area":"diffusion"},{"id":"2402.17563","title":"Structure-Guided Adversarial Training of Diffusion Models","created":"2024-02-27","cited_by_count":11,"area":"diffusion"},{"id":"2412.05899","title":"Accelerating Video Diffusion Models via Distribution Matching","created":"2024-12-08","cited_by_count":11,"area":"diffusion"},{"id":"2502.05446","title":"Stochastic Forward-Backward Deconvolution: Training Diffusion Models with Finite Noisy Datasets","created":"2025-02-08","cited_by_count":11,"area":"diffusion"},{"id":"2410.23274","title":"Multi-student Diffusion Distillation for Better One-step Generators","created":"2024-10-30","cited_by_count":10,"area":"diffusion"},{"id":"2504.20865","title":"AI-GenBench: A New Ongoing Benchmark for AI-Generated Image Detection","created":"2025-04-29","cited_by_count":10,"area":null},{"id":"2505.14502","title":"Learning to Integrate Diffusion ODEs by Averaging the Derivatives","created":"2025-05-20","cited_by_count":10,"area":"diffusion"},{"id":"2508.03256","title":"Beyond Isolated Words: Diffusion Brush for Handwritten Text-Line Generation","created":"2025-08-05","cited_by_count":10,"area":null},{"id":"2511.14030","title":"Training-free Detection of AI-generated images via Cropping Robustness","created":"2025-11-18","cited_by_count":10,"area":null},{"id":"2301.12935","title":"ERA-Solver: Error-Robust Adams Solver for Fast Sampling of Diffusion Probabilistic Models","created":"2023-01-30","cited_by_count":9,"area":"diffusion"},{"id":"2405.20024","title":"Applications of Generative AI (GAI) for Mobile and Wireless Networking: A Survey","created":"2024-05-30","cited_by_count":9,"area":null},{"id":"2502.08005","title":"DiffRatio: Training One-Step Diffusion Models Without Teacher Supervision","created":"2025-02-11","cited_by_count":9,"area":"diffusion"},{"id":"2405.16730","title":"\"Noisier\" Noise Contrastive Eestimation is (Almost) Maximum Likelihood","created":"2024-05-27","cited_by_count":8,"area":null}],"next_cursor":"100"}