{"total":233,"rows":[{"id":"2403.03206","title":"Scaling Rectified Flow Transformers for High-Resolution Image Synthesis","created":"2024-03-05","cited_by_count":4181,"area":"diffusion"},{"id":"2206.00364","title":"Elucidating the Design Space of Diffusion-Based Generative Models","created":"2022-06-01","cited_by_count":3045,"area":"diffusion"},{"id":"2206.00927","title":"DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps","created":"2022-06-02","cited_by_count":1979,"area":"diffusion"},{"id":"2304.08818","title":"Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Models","created":"2023-04-18","cited_by_count":1476,"area":"diffusion"},{"id":"2209.00796","title":"Diffusion Models: A Comprehensive Survey of Methods and Applications","created":"2022-09-02","cited_by_count":1114,"area":"diffusion"},{"id":"2209.04747","title":"Diffusion Models in Vision: A Survey","created":"2022-09-10","cited_by_count":1015,"area":"diffusion"},{"id":"2303.08797","title":"Stochastic Interpolants: A Unifying Framework for Flows and Diffusions","created":"2023-03-15","cited_by_count":939,"area":null},{"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":"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":"2401.08740","title":"SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers","created":"2024-01-16","cited_by_count":737,"area":"diffusion"},{"id":"2210.06978","title":"LION: Latent Point Diffusion Models for 3D Shape Generation","created":"2022-10-12","cited_by_count":553,"area":"diffusion"},{"id":"2204.13902","title":"Fast Sampling of Diffusion Models with Exponential Integrator","created":"2022-04-29","cited_by_count":532,"area":"diffusion"},{"id":"2209.12152","title":"All are Worth Words: A ViT Backbone for Diffusion Models","created":"2022-09-25","cited_by_count":502,"area":"diffusion"},{"id":"2205.14987","title":"A Continuous Time Framework for Discrete Denoising Models","created":"2022-05-30","cited_by_count":451,"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":"2209.11215","title":"Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions","created":"2022-09-22","cited_by_count":445,"area":"diffusion"},{"id":"2303.04803","title":"Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models","created":"2023-03-08","cited_by_count":375,"area":"diffusion"},{"id":"2212.02500","title":"PhysDiff: Physics-Guided Human Motion Diffusion Model","created":"2022-12-05","cited_by_count":368,"area":"diffusion"},{"id":"2202.02514","title":"Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations","created":"2022-02-05","cited_by_count":283,"area":"diffusion"},{"id":"2303.14389","title":"MDTv2: Masked Diffusion Transformer is a Strong Image Synthesizer","created":"2023-03-25","cited_by_count":262,"area":"lr"},{"id":"2208.05314","title":"Convergence of denoising diffusion models under the manifold hypothesis","created":"2022-08-10","cited_by_count":242,"area":"diffusion"},{"id":"2209.02646","title":"A Survey on Generative Diffusion Model","created":"2022-09-06","cited_by_count":240,"area":"diffusion"},{"id":"2211.01916","title":"Improved Analysis of Score-based Generative Modeling: User-Friendly Bounds under Minimal Smoothness Assumptions","created":"2022-11-03","cited_by_count":219,"area":"diffusion"},{"id":"2206.06227","title":"Convergence for score-based generative modeling with polynomial complexity","created":"2022-06-13","cited_by_count":177,"area":"diffusion"},{"id":"2302.13834","title":"Denoising Diffusion Samplers","created":"2023-02-27","cited_by_count":149,"area":"diffusion"},{"id":"2406.01733","title":"Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching","created":"2024-06-03","cited_by_count":142,"area":"diffusion"},{"id":"2302.01316","title":"Are Diffusion Models Vulnerable to Membership Inference Attacks?","created":"2023-02-02","cited_by_count":136,"area":"diffusion"},{"id":"2206.07696","title":"Diffusion Models for Video Prediction and Infilling","created":"2022-06-15","cited_by_count":135,"area":"diffusion"},{"id":"2210.05475","title":"GENIE: Higher-Order Denoising Diffusion Solvers","created":"2022-10-11","cited_by_count":127,"area":"diffusion"},{"id":"2206.05564","title":"gDDIM: Generalized denoising diffusion implicit models","created":"2022-06-11","cited_by_count":125,"area":"diffusion"},{"id":"2206.01018","title":"Score-Based Generative Models Detect Manifolds","created":"2022-06-02","cited_by_count":122,"area":"diffusion"},{"id":"2210.09929","title":"Differentially Private Diffusion Models","created":"2022-10-18","cited_by_count":119,"area":"diffusion"},{"id":"2312.02139","title":"DiffiT: Diffusion Vision Transformers for Image Generation","created":"2023-12-04","cited_by_count":106,"area":"diffusion"},{"id":"2407.02398","title":"Consistency Flow Matching: Defining Straight Flows with Velocity Consistency","created":"2024-07-02","cited_by_count":104,"area":"diffusion"},{"id":"2301.12594","title":"A theory of continuous generative flow networks","created":"2023-01-30","cited_by_count":101,"area":null},{"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":"2206.08889","title":"Lossy Compression with Gaussian Diffusion","created":"2022-06-17","cited_by_count":90,"area":"diffusion"},{"id":"2310.13772","title":"TexFusion: Synthesizing 3D Textures with Text-Guided Image Diffusion Models","created":"2023-10-20","cited_by_count":87,"area":"diffusion"},{"id":"2206.07309","title":"Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models","created":"2022-06-15","cited_by_count":83,"area":"diffusion"},{"id":"2206.08265","title":"Maximum Likelihood Training for Score-Based Diffusion ODEs by High-Order Denoising Score Matching","created":"2022-06-16","cited_by_count":80,"area":"diffusion"},{"id":"2304.09787","title":"NeuralField-LDM: Scene Generation with Hierarchical Latent Diffusion Models","created":"2023-04-19","cited_by_count":76,"area":"diffusion"},{"id":"2209.15408","title":"Equivariant Energy-Guided SDE for Inverse Molecular Design","created":"2022-09-30","cited_by_count":73,"area":null},{"id":"2205.01490","title":"Subspace Diffusion Generative Models","created":"2022-05-03","cited_by_count":70,"area":"diffusion"},{"id":"2406.18524","title":"MultiDiff: Consistent Novel View Synthesis from a Single Image","created":"2024-06-26","cited_by_count":68,"area":"diffusion"},{"id":"2308.12240","title":"KL Convergence Guarantees for Score diffusion models under minimal data assumptions","created":"2023-08-23","cited_by_count":63,"area":"diffusion"},{"id":"2401.08639","title":"One-Step Diffusion Distillation via Deep Equilibrium Models","created":"2023-12-12","cited_by_count":61,"area":"diffusion"},{"id":"2202.13460","title":"Conditional Simulation Using Diffusion Schr\\\"odinger Bridges","created":"2022-02-27","cited_by_count":60,"area":"diffusion"},{"id":"2306.04542","title":"On the Design Fundamentals of Diffusion Models: A Survey","created":"2023-06-07","cited_by_count":60,"area":"diffusion"},{"id":"2401.09050","title":"Consistent3D: Towards Consistent High-Fidelity Text-to-3D Generation with Deterministic Sampling Prior","created":"2024-01-17","cited_by_count":60,"area":null},{"id":"2305.18355","title":"An Efficient Membership Inference Attack for the Diffusion Model by Proximal Initialization","created":"2023-05-26","cited_by_count":54,"area":"diffusion"},{"id":"2112.13592","title":"Multimodal Image Synthesis and Editing: The Generative AI Era","created":"2021-12-27","cited_by_count":52,"area":null},{"id":"2208.07698","title":"Score-Based Diffusion meets Annealed Importance Sampling","created":"2022-08-16","cited_by_count":51,"area":null},{"id":"2210.09292","title":"Efficient Diffusion Models for Vision: A Survey","created":"2022-10-07","cited_by_count":51,"area":"diffusion"},{"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":"2307.05445","title":"AutoDecoding Latent 3D Diffusion Models","created":"2023-07-07","cited_by_count":50,"area":"diffusion"},{"id":"2307.06272","title":"Exposing the Fake: Effective Diffusion-Generated Images Detection","created":"2023-07-12","cited_by_count":48,"area":"diffusion"},{"id":"2206.04642","title":"Probability flow solution of the Fokker-Planck equation","created":"2022-06-09","cited_by_count":47,"area":null},{"id":"2502.00234","title":"Fast Solvers for Discrete Diffusion Models: Theory and Applications of High-Order Algorithms","created":"2025-02-01","cited_by_count":47,"area":"diffusion"},{"id":"2402.05608","title":"Scalable Diffusion Models with State Space Backbone","created":"2024-02-08","cited_by_count":45,"area":"diffusion"},{"id":"2205.13699","title":"Maximum Likelihood Training of Implicit Nonlinear Diffusion Models","created":"2022-05-27","cited_by_count":42,"area":"diffusion"},{"id":"2303.01751","title":"Deep Momentum Multi-Marginal Schr\\\"odinger Bridge","created":"2023-03-03","cited_by_count":42,"area":null},{"id":"2405.15986","title":"Accelerating Diffusion Models with Parallel Sampling: Inference at Sub-Linear Time Complexity","created":"2024-05-24","cited_by_count":42,"area":"diffusion"},{"id":"2305.14777","title":"Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport","created":"2023-05-24","cited_by_count":41,"area":null},{"id":"2410.14171","title":"Heavy-Tailed Diffusion Models","created":"2024-10-18","cited_by_count":40,"area":"diffusion"},{"id":"2303.00800","title":"Continuous-Time Functional Diffusion Processes","created":"2023-03-01","cited_by_count":39,"area":"diffusion"},{"id":"2206.09479","title":"StudioGAN: A Taxonomy and Benchmark of GANs for Image Synthesis","created":"2022-06-19","cited_by_count":38,"area":null},{"id":"2305.19147","title":"Conditional score-based diffusion models for Bayesian inference in infinite dimensions","created":"2023-05-28","cited_by_count":38,"area":"diffusion"},{"id":"2305.14267","title":"SEEDS: Exponential SDE Solvers for Fast High-Quality Sampling from Diffusion Models","created":"2023-05-23","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":"2502.06805","title":"Efficient Diffusion Models: A Survey","created":"2025-02-03","cited_by_count":35,"area":"diffusion"},{"id":"2309.06599","title":"Reasoning with Latent Diffusion in Offline Reinforcement Learning","created":"2023-09-12","cited_by_count":33,"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":"2403.00025","title":"On the Challenges and Opportunities in Generative AI","created":"2024-02-28","cited_by_count":31,"area":null},{"id":"2206.08555","title":"SOS: Score-based Oversampling for Tabular Data","created":"2022-06-17","cited_by_count":29,"area":"diffusion"},{"id":"2302.07261","title":"Where to Diffuse, How to Diffuse, and How to Get Back: Automated Learning for Multivariate Diffusions","created":"2023-02-14","cited_by_count":29,"area":"diffusion"},{"id":"2312.01985","title":"UniGS: Unified Representation for Image Generation and Segmentation","created":"2023-12-04","cited_by_count":29,"area":"diffusion"},{"id":"2503.01006","title":"Underdamped Diffusion Bridges with Applications to Sampling","created":"2025-03-02","cited_by_count":29,"area":null},{"id":"2403.10348","title":"Denoising Task Difficulty-based Curriculum for Training Diffusion Models","created":"2024-03-15","cited_by_count":27,"area":"diffusion"},{"id":"2408.06277","title":"Multi-marginal Schr\\\"odinger Bridges with Iterative Reference Refinement","created":"2024-08-12","cited_by_count":27,"area":null},{"id":"2208.07743","title":"Langevin Diffusion Variational Inference","created":"2022-08-16","cited_by_count":26,"area":null},{"id":"2406.08431","title":"Diffusion Soup: Model Merging for Text-to-Image Diffusion Models","created":"2024-06-12","cited_by_count":26,"area":"diffusion"},{"id":"2310.07805","title":"Generative Modeling with Phase Stochastic Bridges","created":"2023-10-11","cited_by_count":25,"area":"diffusion"},{"id":"2402.05443","title":"Scalable Wasserstein Gradient Flow for Generative Modeling through Unbalanced Optimal Transport","created":"2024-02-08","cited_by_count":23,"area":null},{"id":"2504.12532","title":"Generalization through variance: how noise shapes inductive biases in diffusion models","created":"2025-04-16","cited_by_count":23,"area":"diffusion"},{"id":"2303.18242","title":"$\\infty$-Diff: Infinite Resolution Diffusion with Subsampled Mollified States","created":"2023-03-31","cited_by_count":21,"area":"diffusion"},{"id":"2305.16301","title":"Look Ma, No Hands! Agent-Environment Factorization of Egocentric Videos","created":"2023-05-25","cited_by_count":21,"area":"diffusion"},{"id":"2306.06991","title":"Fast Diffusion Model","created":"2023-06-12","cited_by_count":21,"area":"diffusion"},{"id":"2306.11251","title":"Lipschitz Singularities in Diffusion Models","created":"2023-06-20","cited_by_count":21,"area":"diffusion"},{"id":"2411.01293","title":"Diffusion Models as Cartoonists: The Curious Case of High Density Regions","created":"2024-11-02","cited_by_count":21,"area":"diffusion"},{"id":"2301.07882","title":"Mathematical analysis of singularities in the diffusion model under the submanifold assumption","created":"2023-01-19","cited_by_count":20,"area":"diffusion"},{"id":"2312.09193","title":"Fast Sampling via Discrete Non-Markov Diffusion Models with Predetermined Transition Time","created":"2023-12-14","cited_by_count":20,"area":"diffusion"},{"id":"2407.03300","title":"DisCo-Diff: Enhancing Continuous Diffusion Models with Discrete Latents","created":"2024-07-03","cited_by_count":20,"area":"diffusion"},{"id":"2207.02196","title":"Accelerating Score-based Generative Models with Preconditioned Diffusion Sampling","created":"2022-07-05","cited_by_count":19,"area":"diffusion"},{"id":"2405.16381","title":"Trivialized Momentum Facilitates Diffusion Generative Modeling on Lie Groups","created":"2024-05-25","cited_by_count":19,"area":"diffusion"},{"id":"2303.01748","title":"A Complete Recipe for Diffusion Generative Models","created":"2023-03-03","cited_by_count":17,"area":"diffusion"},{"id":"2405.17673","title":"Fast Samplers for Inverse Problems in Iterative Refinement Models","created":"2024-05-27","cited_by_count":17,"area":"diffusion"},{"id":"2502.12456","title":"Not-So-Optimal Transport Flows for 3D Point Cloud Generation","created":"2025-02-18","cited_by_count":17,"area":null},{"id":"2505.09922","title":"Improving the Euclidean Diffusion Generation of Manifold Data by Mitigating Score Function Singularity","created":"2025-05-15","cited_by_count":17,"area":"diffusion"},{"id":"2509.25170","title":"GLASS Flows: Transition Sampling for Alignment of Flow and Diffusion Models","created":"2025-09-29","cited_by_count":17,"area":"diffusion"},{"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"}],"next_cursor":"100"}