{"total":558,"rows":[{"id":"2506.15742","title":"FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space","created":"2025-06-17","cited_by_count":1006,"area":"diffusion"},{"id":"2302.00482","title":"Improving and generalizing flow-based generative models with minibatch optimal transport","created":"2023-02-01","cited_by_count":879,"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":"2410.06940","title":"Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think","created":"2024-10-09","cited_by_count":703,"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":"2410.05954","title":"Pyramidal Flow Matching for Efficient Video Generative Modeling","created":"2024-10-08","cited_by_count":366,"area":"diffusion"},{"id":"2407.15595","title":"Discrete Flow Matching","created":"2024-07-22","cited_by_count":317,"area":"diffusion"},{"id":"2402.04997","title":"Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design","created":"2024-02-07","cited_by_count":305,"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":"2304.14772","title":"Multisample Flow Matching: Straightening Flows with Minibatch Couplings","created":"2023-04-28","cited_by_count":278,"area":"diffusion"},{"id":"2302.03660","title":"Flow Matching on General Geometries","created":"2023-02-07","cited_by_count":265,"area":"diffusion"},{"id":"2308.03686","title":"Nearly $d$-Linear Convergence Bounds for Diffusion Models via Stochastic Localization","created":"2023-08-07","cited_by_count":235,"area":"diffusion"},{"id":"2502.02538","title":"Flow Q-Learning","created":"2025-02-04","cited_by_count":184,"area":"diffusion"},{"id":"2410.00083","title":"A Survey on Diffusion Models for Inverse Problems","created":"2024-09-30","cited_by_count":180,"area":"diffusion"},{"id":"2309.16948","title":"Denoising Diffusion Bridge Models","created":"2023-09-29","cited_by_count":178,"area":"diffusion"},{"id":"2506.15799","title":"Steering Your Diffusion Policy with Latent Space Reinforcement Learning","created":"2025-06-18","cited_by_count":169,"area":"diffusion"},{"id":"2303.11435","title":"Inversion by Direct Iteration: An Alternative to Denoising Diffusion for Image Restoration","created":"2023-03-20","cited_by_count":165,"area":"diffusion"},{"id":"2410.10792","title":"Semantic Image Inversion and Editing using Rectified Stochastic Differential Equations","created":"2024-10-14","cited_by_count":165,"area":"diffusion"},{"id":"2411.07975","title":"JanusFlow: Harmonizing Autoregression and Rectified Flow for Unified Multimodal Understanding and Generation","created":"2024-11-12","cited_by_count":163,"area":"diffusion"},{"id":"2307.08698","title":"Flow Matching in Latent Space","created":"2023-07-17","cited_by_count":160,"area":"diffusion"},{"id":"2303.16852","title":"Diffusion Schr\\\"odinger Bridge Matching","created":"2023-03-29","cited_by_count":153,"area":"diffusion"},{"id":"2310.02391","title":"SE(3)-Stochastic Flow Matching for Protein Backbone Generation","created":"2023-10-03","cited_by_count":150,"area":"diffusion"},{"id":"2309.03199","title":"Matcha-TTS: A fast TTS architecture with conditional flow matching","created":"2023-09-06","cited_by_count":145,"area":"diffusion"},{"id":"2405.05945","title":"Lumina-T2X: Transforming Text into Any Modality, Resolution, and Duration via Flow-based Large Diffusion Transformers","created":"2024-05-09","cited_by_count":137,"area":"diffusion"},{"id":"2306.15030","title":"Equivariant flow matching","created":"2023-06-26","cited_by_count":135,"area":"diffusion"},{"id":"2402.05841","title":"Dirichlet Flow Matching with Applications to DNA Sequence Design","created":"2024-02-08","cited_by_count":115,"area":"diffusion"},{"id":"2411.14430","title":"Stable Flow: Vital Layers for Training-Free Image Editing","created":"2024-11-21","cited_by_count":113,"area":"diffusion"},{"id":"2503.07565","title":"Inductive Moment Matching","created":"2025-03-10","cited_by_count":113,"area":"diffusion"},{"id":"2402.04845","title":"AlphaFold Meets Flow Matching for Generating Protein Ensembles","created":"2024-02-07","cited_by_count":110,"area":"diffusion"},{"id":"2406.07507","title":"Flow map matching with stochastic interpolants: A mathematical framework for consistency models","created":"2024-06-11","cited_by_count":109,"area":"diffusion"},{"id":"2405.20320","title":"Improving the Training of Rectified Flows","created":"2024-05-30","cited_by_count":108,"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":"2505.18825","title":"How to build a consistency model: Learning flow maps via self-distillation","created":"2025-05-24","cited_by_count":103,"area":"diffusion"},{"id":"2305.17161","title":"Flow Matching for Scalable Simulation-Based Inference","created":"2023-05-26","cited_by_count":101,"area":"diffusion"},{"id":"2311.13443","title":"Guided Flows for Generative Modeling and Decision Making","created":"2023-11-22","cited_by_count":101,"area":"diffusion"},{"id":"2407.13734","title":"Understanding Reinforcement Learning-Based Fine-Tuning of Diffusion Models: A Tutorial and Review","created":"2024-07-18","cited_by_count":98,"area":"diffusion"},{"id":"2410.02423","title":"PnP-Flow: Plug-and-Play Image Restoration with Flow Matching","created":"2024-10-03","cited_by_count":97,"area":"diffusion"},{"id":"2305.16860","title":"Error Bounds for Flow Matching Methods","created":"2023-05-26","cited_by_count":91,"area":"diffusion"},{"id":"2301.12003","title":"Minimizing Trajectory Curvature of ODE-based Generative Models","created":"2023-01-27","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":"2506.14603","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","created":"2025-06-17","cited_by_count":87,"area":"diffusion"},{"id":"2403.13802","title":"ZigMa: A DiT-style Zigzag Mamba Diffusion Model","created":"2024-03-20","cited_by_count":84,"area":"diffusion"},{"id":"2506.05573","title":"PartCrafter: Structured 3D Mesh Generation via Compositional Latent Diffusion Transformers","created":"2025-06-05","cited_by_count":84,"area":"diffusion"},{"id":"2307.03672","title":"Simulation-free Schr\\\"odinger bridges via score and flow matching","created":"2023-07-07","cited_by_count":83,"area":"diffusion"},{"id":"2406.04843","title":"Variational Flow Matching for Graph Generation","created":"2024-06-07","cited_by_count":83,"area":"diffusion"},{"id":"2412.15205","title":"FlowAR: Scale-wise Autoregressive Image Generation Meets Flow Matching","created":"2024-12-19","cited_by_count":80,"area":"diffusion"},{"id":"2502.14831","title":"Improving the Diffusability of Autoencoders","created":"2025-02-20","cited_by_count":80,"area":"diffusion"},{"id":"2405.14780","title":"Metric Flow Matching for Smooth Interpolations on the Data Manifold","created":"2024-05-23","cited_by_count":77,"area":"diffusion"},{"id":"2310.04432","title":"Training-free Linear Image Inverses via Flows","created":"2023-09-25","cited_by_count":72,"area":"diffusion"},{"id":"2506.09027","title":"Diffuse and Disperse: Image Generation with Representation Regularization","created":"2025-06-10","cited_by_count":70,"area":"diffusion"},{"id":"2412.21037","title":"TangoFlux: Super Fast and Faithful Text to Audio Generation with Flow Matching and Clap-Ranked Preference Optimization","created":"2024-12-30","cited_by_count":68,"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":"2502.04896","title":"Goku: Flow Based Video Generative Foundation Models","created":"2025-02-07","cited_by_count":67,"area":"diffusion"},{"id":"2409.07343","title":"Learning Robotic Manipulation Policies from Point Clouds with Conditional Flow Matching","created":"2024-09-11","cited_by_count":65,"area":"diffusion"},{"id":"2503.18352","title":"Diffusion-4K: Ultra-High-Resolution Image Synthesis with Latent Diffusion Models","created":"2025-03-24","cited_by_count":65,"area":"diffusion"},{"id":"2410.07303","title":"Rectified Diffusion: Straightness Is Not Your Need in Rectified Flow","created":"2024-10-09","cited_by_count":61,"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":"2312.07168","title":"Equivariant Flow Matching with Hybrid Probability Transport","created":"2023-12-12","cited_by_count":60,"area":"diffusion"},{"id":"2404.09730","title":"Convergence Analysis of Probability Flow ODE for Score-based Generative Models","created":"2024-04-15","cited_by_count":57,"area":"diffusion"},{"id":"2212.01747","title":"Fast Point Cloud Generation with Straight Flows","created":"2022-12-04","cited_by_count":56,"area":"diffusion"},{"id":"2505.02831","title":"No Other Representation Component Is Needed: Diffusion Transformers Can Provide Representation Guidance by Themselves","created":"2025-05-05","cited_by_count":56,"area":"diffusion"},{"id":"2211.14575","title":"Efficient Video Prediction via Sparsely Conditioned Flow Matching","created":"2022-11-26","cited_by_count":55,"area":"diffusion"},{"id":"2305.03935","title":"Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs","created":"2023-05-06","cited_by_count":54,"area":"diffusion"},{"id":"2407.00783","title":"Diffusion Models and Representation Learning: A Survey","created":"2024-06-30","cited_by_count":54,"area":"diffusion"},{"id":"2409.01083","title":"Affordance-based Robot Manipulation with Flow Matching","created":"2024-09-02","cited_by_count":54,"area":"diffusion"},{"id":"2506.04171","title":"Physics-Constrained Flow Matching: Sampling Generative Models with Hard Constraints","created":"2025-06-04","cited_by_count":52,"area":"diffusion"},{"id":"2509.01025","title":"Any-Order Flexible Length Masked Diffusion","created":"2025-08-31","cited_by_count":51,"area":"diffusion"},{"id":"2510.07316","title":"Pixel-Perfect Depth with Semantics-Prompted Diffusion Transformers","created":"2025-10-08","cited_by_count":51,"area":"diffusion"},{"id":"2506.03719","title":"On the Closed-Form of Flow Matching: Generalization Does Not Arise from Target Stochasticity","created":"2025-06-04","cited_by_count":50,"area":"diffusion"},{"id":"2312.09222","title":"Mosaic-SDF for 3D Generative Models","created":"2023-12-14","cited_by_count":48,"area":"diffusion"},{"id":"2410.03601","title":"How Discrete and Continuous Diffusion Meet: Comprehensive Analysis of Discrete Diffusion Models via a Stochastic Integral Framework","created":"2024-10-04","cited_by_count":48,"area":"diffusion"},{"id":"2412.12953","title":"Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning","created":"2024-12-17","cited_by_count":48,"area":"diffusion"},{"id":"2404.02954","title":"Deep Generative Models through the Lens of the Manifold Hypothesis: A Survey and New Connections","created":"2024-04-03","cited_by_count":47,"area":"diffusion"},{"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":"2304.04262","title":"A Comprehensive Survey on Knowledge Distillation of Diffusion Models","created":"2023-04-09","cited_by_count":45,"area":"diffusion"},{"id":"2404.12940","title":"Neural Flow Diffusion Models: Learnable Forward Process for Improved Diffusion Modelling","created":"2024-04-19","cited_by_count":45,"area":"diffusion"},{"id":"2605.10938","title":"ELF: Embedded Language Flows","created":"2026-05-11","cited_by_count":45,"area":"diffusion"},{"id":"2312.07360","title":"Boosting Latent Diffusion with Flow Matching","created":"2023-12-12","cited_by_count":44,"area":"diffusion"},{"id":"2408.14608","title":"Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold","created":"2024-08-26","cited_by_count":43,"area":"diffusion"},{"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":"2312.10299","title":"Image Restoration Through Generalized Ornstein-Uhlenbeck Bridge","created":"2023-12-16","cited_by_count":41,"area":"diffusion"},{"id":"2411.16318","title":"One Diffusion to Generate Them All","created":"2024-11-25","cited_by_count":41,"area":"diffusion"},{"id":"2510.20771","title":"AlphaFlow: Understanding and Improving MeanFlow Models","created":"2025-10-23","cited_by_count":41,"area":"diffusion"},{"id":"2502.17157","title":"DICEPTION: A Generalist Diffusion Model for Visual Perceptual Tasks","created":"2025-02-24","cited_by_count":39,"area":"diffusion"},{"id":"2504.07960","title":"VisualCloze: A Universal Image Generation Framework via Visual In-Context Learning","created":"2025-04-10","cited_by_count":39,"area":"diffusion"},{"id":"2510.01384","title":"Fine-Tuning Masked Diffusion for Provable Self-Correction","created":"2025-10-01","cited_by_count":39,"area":"diffusion"},{"id":"2312.08895","title":"Motion Flow Matching for Human Motion Synthesis and Editing","created":"2023-12-14","cited_by_count":38,"area":"diffusion"},{"id":"2406.03293","title":"Text-to-Image Rectified Flow as Plug-and-Play Priors","created":"2024-06-05","cited_by_count":38,"area":"diffusion"},{"id":"2403.18705","title":"Conditional Wasserstein Distances with Applications in Bayesian OT Flow Matching","created":"2024-03-27","cited_by_count":36,"area":"diffusion"},{"id":"2405.20313","title":"Sequence-Augmented SE(3)-Flow Matching For Conditional Protein Backbone Generation","created":"2024-05-30","cited_by_count":36,"area":"diffusion"},{"id":"2503.16418","title":"InfiniteYou: Flexible Photo Recrafting While Preserving Your Identity","created":"2025-03-20","cited_by_count":35,"area":"diffusion"},{"id":"2410.00418","title":"Posterior-Mean Rectified Flow: Towards Minimum MSE Photo-Realistic Image Restoration","created":"2024-10-01","cited_by_count":34,"area":"diffusion"},{"id":"2411.16443","title":"SplatFlow: Multi-View Rectified Flow Model for 3D Gaussian Splatting Synthesis","created":"2024-11-25","cited_by_count":34,"area":"diffusion"},{"id":"2510.01329","title":"Continuously Augmented Discrete Diffusion model for Categorical Generative Modeling","created":"2025-10-01","cited_by_count":34,"area":"diffusion"},{"id":"2502.10389","title":"Region-Adaptive Sampling for Diffusion Transformers","created":"2025-02-14","cited_by_count":33,"area":"diffusion"},{"id":"2502.06079","title":"Debiasing Guidance for Discrete Diffusion with Sequential Monte Carlo","created":"2025-02-10","cited_by_count":31,"area":"diffusion"},{"id":"2603.06507","title":"Self-Supervised Flow Matching for Scalable Multi-Modal Synthesis","created":"2026-03-06","cited_by_count":31,"area":"diffusion"},{"id":"2601.09881","title":"Transition Matching Distillation for Fast Video Generation","created":"2026-01-14","cited_by_count":30,"area":"diffusion"}],"next_cursor":"100"}