{"total":582,"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":"2211.01324","title":"eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers","created":"2022-11-02","cited_by_count":931,"area":"diffusion"},{"id":"2210.08933","title":"DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models","created":"2022-10-17","cited_by_count":450,"area":"diffusion"},{"id":"2209.15421","title":"TabDDPM: Modelling Tabular Data with Diffusion Models","created":"2022-09-30","cited_by_count":377,"area":"diffusion"},{"id":"2205.11495","title":"Flexible Diffusion Modeling of Long Videos","created":"2022-05-23","cited_by_count":294,"area":"diffusion"},{"id":"2209.02646","title":"A Survey on Generative Diffusion Model","created":"2022-09-06","cited_by_count":240,"area":"diffusion"},{"id":"2206.09012","title":"Diffusion models as plug-and-play priors","created":"2022-06-17","cited_by_count":231,"area":"diffusion"},{"id":"2208.09399","title":"Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models","created":"2022-08-19","cited_by_count":198,"area":null},{"id":"2111.13606","title":"Conditional Image Generation with Score-Based Diffusion Models","created":"2021-11-26","cited_by_count":197,"area":"diffusion"},{"id":"2502.00816","title":"Sundial: A Family of Highly Capable Time Series Foundation Models","created":"2025-02-02","cited_by_count":180,"area":null},{"id":"2206.07696","title":"Diffusion Models for Video Prediction and Infilling","created":"2022-06-15","cited_by_count":135,"area":"diffusion"},{"id":"2303.10895","title":"Leapfrog Diffusion Model for Stochastic Trajectory Prediction","created":"2023-03-20","cited_by_count":132,"area":"diffusion"},{"id":"2210.05475","title":"GENIE: Higher-Order Denoising Diffusion Solvers","created":"2022-10-11","cited_by_count":127,"area":"diffusion"},{"id":"2212.08698","title":"Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models","created":"2022-12-16","cited_by_count":116,"area":"diffusion"},{"id":"2303.12538","title":"Affordance Diffusion: Synthesizing Hand-Object Interactions","created":"2023-03-21","cited_by_count":110,"area":"diffusion"},{"id":"2312.02139","title":"DiffiT: Diffusion Vision Transformers for Image Generation","created":"2023-12-04","cited_by_count":106,"area":"diffusion"},{"id":"2402.09470","title":"Rolling Diffusion Models","created":"2024-02-12","cited_by_count":104,"area":"diffusion"},{"id":"2303.17076","title":"DiffCollage: Parallel Generation of Large Content with Diffusion Models","created":"2023-03-30","cited_by_count":103,"area":"diffusion"},{"id":"2306.10125","title":"Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects","created":"2023-06-16","cited_by_count":99,"area":null},{"id":"2307.11494","title":"Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting","created":"2023-07-21","cited_by_count":88,"area":"diffusion"},{"id":"2211.14304","title":"BeLFusion: Latent Diffusion for Behavior-Driven Human Motion Prediction","created":"2022-11-25","cited_by_count":82,"area":"diffusion"},{"id":"2301.13629","title":"DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion Models","created":"2023-01-31","cited_by_count":81,"area":"diffusion"},{"id":"2302.13425","title":"A Survey on Uncertainty Quantification Methods for Deep Learning","created":"2023-02-26","cited_by_count":81,"area":null},{"id":"2306.05043","title":"Non-autoregressive Conditional Diffusion Models for Time Series Prediction","created":"2023-06-08","cited_by_count":78,"area":"diffusion"},{"id":"2210.17128","title":"Diffusion models for missing value imputation in tabular data","created":"2022-10-31","cited_by_count":77,"area":"diffusion"},{"id":"2211.13287","title":"HouseDiffusion: Vector Floorplan Generation via a Diffusion Model with Discrete and Continuous Denoising","created":"2022-11-23","cited_by_count":73,"area":"diffusion"},{"id":"2404.07771","title":"An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization","created":"2024-04-11","cited_by_count":73,"area":"diffusion"},{"id":"2305.00624","title":"Diffusion Models for Time Series Applications: A Survey","created":"2023-05-01","cited_by_count":72,"area":"diffusion"},{"id":"2305.17209","title":"Functional Flow Matching","created":"2023-05-26","cited_by_count":67,"area":"diffusion"},{"id":"2404.18886","title":"A Survey on Diffusion Models for Time Series and Spatio-Temporal Data","created":"2024-04-29","cited_by_count":67,"area":"diffusion"},{"id":"2302.09746","title":"PriSTI: A Conditional Diffusion Framework for Spatiotemporal Imputation","created":"2023-02-20","cited_by_count":66,"area":"diffusion"},{"id":"2211.16487","title":"DiffPose: Multi-hypothesis Human Pose Estimation using Diffusion models","created":"2022-11-29","cited_by_count":65,"area":"diffusion"},{"id":"2205.13479","title":"Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations","created":"2022-05-26","cited_by_count":64,"area":null},{"id":"2309.09968","title":"Generating and Imputing Tabular Data via Diffusion and Flow-based Gradient-Boosted Trees","created":"2023-09-18","cited_by_count":62,"area":null},{"id":"2202.13460","title":"Conditional Simulation Using Diffusion Schr\\\"odinger Bridges","created":"2022-02-27","cited_by_count":60,"area":"diffusion"},{"id":"2211.12343","title":"Diffusion Model Based Posterior Sampling for Noisy Linear Inverse Problems","created":"2022-11-20","cited_by_count":60,"area":"diffusion"},{"id":"2402.04059","title":"Deep Learning for Multivariate Time Series Imputation: A Survey","created":"2024-02-06","cited_by_count":57,"area":null},{"id":"2211.14575","title":"Efficient Video Prediction via Sparsely Conditioned Flow Matching","created":"2022-11-26","cited_by_count":55,"area":"diffusion"},{"id":"2307.01717","title":"On the Constrained Time-Series Generation Problem","created":"2023-07-04","cited_by_count":54,"area":null},{"id":"2305.12403","title":"Spatio-temporal Diffusion Point Processes","created":"2023-05-21","cited_by_count":52,"area":null},{"id":"2210.04872","title":"Sequential Neural Score Estimation: Likelihood-Free Inference with Conditional Score Based Diffusion Models","created":"2022-10-10","cited_by_count":50,"area":"diffusion"},{"id":"2312.01728","title":"ImputeFormer: Low Rankness-Induced Transformers for Generalizable Spatiotemporal Imputation","created":"2023-12-04","cited_by_count":50,"area":null},{"id":"2212.00886","title":"Diffusion Generative Models in Infinite Dimensions","created":"2022-12-01","cited_by_count":49,"area":"diffusion"},{"id":"2209.14249","title":"Compositional Score Modeling for Simulation-based Inference","created":"2022-09-28","cited_by_count":48,"area":null},{"id":"2303.16005","title":"Uncovering the Missing Pattern: Unified Framework Towards Trajectory Imputation and Prediction","created":"2023-03-28","cited_by_count":47,"area":null},{"id":"2410.03024","title":"Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting","created":"2024-10-03","cited_by_count":43,"area":"diffusion"},{"id":"2410.19538","title":"Utilizing Image Transforms and Diffusion Models for Generative Modeling of Short and Long Time Series","created":"2024-10-25","cited_by_count":43,"area":"diffusion"},{"id":"2307.00754","title":"ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection","created":"2023-07-03","cited_by_count":40,"area":"diffusion"},{"id":"2211.02590","title":"Modeling Temporal Data as Continuous Functions with Stochastic Process Diffusion","created":"2022-11-04","cited_by_count":39,"area":null},{"id":"2302.10130","title":"Infinite-Dimensional Diffusion Models","created":"2023-02-20","cited_by_count":39,"area":"diffusion"},{"id":"2307.00467","title":"MissDiff: Training Diffusion Models on Tabular Data with Missing Values","created":"2023-07-02","cited_by_count":39,"area":"diffusion"},{"id":"2407.13759","title":"Streetscapes: Large-scale Consistent Street View Generation Using Autoregressive Video Diffusion","created":"2024-07-18","cited_by_count":39,"area":"wm"},{"id":"2410.18712","title":"Retrieval-Augmented Diffusion Models for Time Series Forecasting","created":"2024-10-24","cited_by_count":39,"area":"rag"},{"id":"2202.03528","title":"TACTiS: Transformer-Attentional Copulas for Time Series","created":"2022-02-07","cited_by_count":38,"area":null},{"id":"2212.12749","title":"Deep Latent State Space Models for Time-Series Generation","created":"2022-12-24","cited_by_count":38,"area":"ssm"},{"id":"2302.01217","title":"A Theoretical Justification for Image Inpainting using Denoising Diffusion Probabilistic Models","created":"2023-02-02","cited_by_count":37,"area":"diffusion"},{"id":"2401.02913","title":"Plug-in Diffusion Model for Sequential Recommendation","created":"2024-01-05","cited_by_count":37,"area":"diffusion"},{"id":"2403.02682","title":"Time Weaver: A Conditional Time Series Generation Model","created":"2024-03-05","cited_by_count":37,"area":null},{"id":"2310.07446","title":"ProbTS: Benchmarking Point and Distributional Forecasting across Diverse Prediction Horizons","created":"2023-10-11","cited_by_count":36,"area":null},{"id":"2406.09416","title":"Alleviating Distortion in Image Generation via Multi-Resolution Diffusion Models and Time-Dependent Layer Normalization","created":"2024-06-13","cited_by_count":36,"area":"diffusion"},{"id":"2206.05173","title":"How Much is Enough? A Study on Diffusion Times in Score-based Generative Models","created":"2022-06-10","cited_by_count":35,"area":"diffusion"},{"id":"2410.04760","title":"Stochastic Runge-Kutta Methods: Provable Acceleration of Diffusion Models","created":"2024-10-07","cited_by_count":35,"area":"diffusion"},{"id":"2210.05669","title":"A generic diffusion-based approach for 3D human pose prediction in the wild","created":"2022-10-11","cited_by_count":33,"area":"diffusion"},{"id":"2406.12747","title":"TSI-Bench: Benchmarking Time Series Imputation","created":"2024-06-18","cited_by_count":33,"area":null},{"id":"2409.02322","title":"TimeDiT: General-purpose Diffusion Transformers for Time Series Foundation Model","created":"2024-09-03","cited_by_count":33,"area":"diffusion"},{"id":"2403.05751","title":"MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process","created":"2024-03-09","cited_by_count":32,"area":"diffusion"},{"id":"2408.03400","title":"Attacks and Defenses for Generative Diffusion Models: A Comprehensive Survey","created":"2024-08-06","cited_by_count":32,"area":"diffusion"},{"id":"2410.09945","title":"Variational Diffusion Posterior Sampling with Midpoint Guidance","created":"2024-10-13","cited_by_count":32,"area":"diffusion"},{"id":"2410.18881","title":"Diff-Instruct++: Training One-step Text-to-image Generator Model to Align with Human Preferences","created":"2024-10-24","cited_by_count":31,"area":"diffusion"},{"id":"2410.04047","title":"TS-Reasoner: Domain-Oriented Time Series Inference Agents for Reasoning and Automated Analysis","created":"2024-10-05","cited_by_count":29,"area":"lr"},{"id":"2509.22295","title":"Aurora: Towards Universal Generative Multimodal Time Series Forecasting","created":"2025-09-26","cited_by_count":29,"area":null},{"id":"2305.07247","title":"Provably Convergent Schr\\\"odinger Bridge with Applications to Probabilistic Time Series Imputation","created":"2023-05-12","cited_by_count":27,"area":"diffusion"},{"id":"2305.12347","title":"Learning Joint 2D & 3D Diffusion Models for Complete Molecule Generation","created":"2023-05-21","cited_by_count":27,"area":"diffusion"},{"id":"2404.00225","title":"Heterogeneous Contrastive Learning for Foundation Models and Beyond","created":"2024-03-30","cited_by_count":27,"area":null},{"id":"2505.04278","title":"Non-stationary Diffusion For Probabilistic Time Series Forecasting","created":"2025-05-07","cited_by_count":27,"area":"diffusion"},{"id":"2310.01327","title":"TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series","created":"2023-10-02","cited_by_count":26,"area":null},{"id":"2311.08744","title":"Graph Signal Diffusion Model for Collaborative Filtering","created":"2023-11-15","cited_by_count":25,"area":"diffusion"},{"id":"2401.03006","title":"The Rise of Diffusion Models in Time-Series Forecasting","created":"2024-01-05","cited_by_count":25,"area":"diffusion"},{"id":"2301.08518","title":"Regular Time-series Generation using SGM","created":"2023-01-20","cited_by_count":23,"area":"diffusion"},{"id":"2306.08328","title":"Distribution Shift Inversion for Out-of-Distribution Prediction","created":"2023-06-14","cited_by_count":23,"area":null},{"id":"2310.05063","title":"Pushing the Limits of Pre-training for Time Series Forecasting in the CloudOps Domain","created":"2023-10-08","cited_by_count":23,"area":null},{"id":"2311.01139","title":"Add and Thin: Diffusion for Temporal Point Processes","created":"2023-11-02","cited_by_count":23,"area":null},{"id":"2301.13622","title":"Learning Data Representations with Joint Diffusion Models","created":"2023-01-31","cited_by_count":22,"area":"diffusion"},{"id":"2303.13472","title":"Promptable Game Models: Text-Guided Game Simulation via Masked Diffusion Models","created":"2023-03-23","cited_by_count":22,"area":"diffusion"},{"id":"2411.07506","title":"FlowTS: Time Series Generation via Rectified Flow","created":"2024-11-12","cited_by_count":22,"area":"diffusion"},{"id":"2305.01822","title":"Unpaired Downscaling of Fluid Flows with Diffusion Bridges","created":"2023-05-02","cited_by_count":21,"area":null},{"id":"2307.03048","title":"Origin-Destination Travel Time Oracle for Map-based Services","created":"2023-07-06","cited_by_count":20,"area":null},{"id":"2308.12013","title":"Quantum-Noise-Driven Generative Diffusion Models","created":"2023-08-23","cited_by_count":20,"area":"diffusion"},{"id":"2310.16975","title":"Efficient Neural Network Approaches for Conditional Optimal Transport with Applications in Bayesian Inference","created":"2023-10-25","cited_by_count":20,"area":null},{"id":"2310.17360","title":"Towards Unifying Diffusion Models for Probabilistic Spatio-Temporal Graph Learning","created":"2023-10-26","cited_by_count":20,"area":"diffusion"},{"id":"2305.18719","title":"Graph Neural Processes for Spatio-Temporal Extrapolation","created":"2023-05-30","cited_by_count":19,"area":null},{"id":"2405.17680","title":"Sports-Traj: A Unified Trajectory Generation Model for Multi-Agent Movement in Sports","created":"2024-05-27","cited_by_count":19,"area":"ssm"},{"id":"2503.02445","title":"BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modeling","created":"2025-03-04","cited_by_count":19,"area":"diffusion"},{"id":"2302.00058","title":"Graph Anomaly Detection in Time Series: A Survey","created":"2023-01-31","cited_by_count":18,"area":null},{"id":"2304.04820","title":"Binary Latent Diffusion","created":"2023-04-10","cited_by_count":18,"area":"diffusion"},{"id":"2308.12143","title":"A Probabilistic Fluctuation based Membership Inference Attack for Diffusion Models","created":"2023-08-23","cited_by_count":18,"area":"diffusion"},{"id":"2410.13338","title":"SSD-TS: Exploring the Potential of Linear State Space Models for Diffusion Models in Time Series Imputation","created":"2024-10-17","cited_by_count":18,"area":"diffusion"},{"id":"2306.05880","title":"Time Series Continuous Modeling for Imputation and Forecasting with Implicit Neural Representations","created":"2023-06-09","cited_by_count":17,"area":null},{"id":"2307.14389","title":"Diff-E: Diffusion-based Learning for Decoding Imagined Speech EEG","created":"2023-07-26","cited_by_count":17,"area":"diffusion"},{"id":"2309.10547","title":"Towards Generative Modeling of Urban Flow through Knowledge-enhanced Denoising Diffusion","created":"2023-09-19","cited_by_count":17,"area":"diffusion"}],"next_cursor":"100"}