{"total":45,"rows":[{"id":"2605.10938","title":"ELF: Embedded Language Flows","created":"2026-05-11","cited_by_count":45,"area":"diffusion"},{"id":"2602.12233","title":"Categorical Flow Maps","created":"2026-02-12","cited_by_count":44,"area":"diffusion"},{"id":"2605.11755","title":"One-Step Generative Modeling via Wasserstein Gradient Flows","created":"2026-05-12","cited_by_count":24,"area":"diffusion"},{"id":"2602.02493","title":"PixelGen: Improving Pixel Diffusion with Perceptual Supervision","created":"2026-02-02","cited_by_count":14,"area":"diffusion"},{"id":"2607.26004","title":"Parallel Decoding Distillation for Fast Image and Video Generation","created":"2026-07-28","cited_by_count":10,"area":"diffusion"},{"id":"2603.12480","title":"One-Step Flow Policy: Self-Distillation for Fast Visuomotor Policies","created":"2026-03-12","cited_by_count":7,"area":"diffusion"},{"id":"2606.01086","title":"Strong Stochastic Flow Maps","created":"2026-05-31","cited_by_count":6,"area":"diffusion"},{"id":"2603.10718","title":"Riemannian MeanFlow for One-Step Generation on Manifolds","created":"2026-03-11","cited_by_count":5,"area":"diffusion"},{"id":"2604.03540","title":"Drift-Based Policy Optimization: Native One-Step Policy Learning for Online Robot Control","created":"2026-04-04","cited_by_count":5,"area":"diffusion"},{"id":"2606.11155","title":"Mean Flow Distillation: Robust and Stable Distillation for Flow Matching Models","created":"2026-06-09","cited_by_count":5,"area":"diffusion"},{"id":"2606.24888","title":"DiffusionBench: On Holistic Evaluation of Diffusion Transformers","created":"2026-06-23","cited_by_count":5,"area":"diffusion"},{"id":"2601.21542","title":"Bi-Anchor Interpolation Solver for Accelerating Generative Modeling","created":"2026-01-29","cited_by_count":3,"area":"diffusion"},{"id":"2601.22679","title":"Stabilizing Consistency Training: A Flow Map Analysis and Self-Distillation","created":"2026-01-30","cited_by_count":3,"area":"diffusion"},{"id":"2603.12517","title":"Curriculum Sampling: A Two-Phase Curriculum for Efficient Training of Flow Matching","created":"2026-03-12","cited_by_count":3,"area":"diffusion"},{"id":"2603.13967","title":"EchoLVFM: One-Step Video Generation via Latent Flow Matching for Echocardiogram Synthesis","created":"2026-03-14","cited_by_count":3,"area":"diffusion"},{"id":"2604.06881","title":"MENO: MeanFlow-Enhanced Neural Operators for Dynamical Systems","created":"2026-04-08","cited_by_count":3,"area":"diffusion"},{"id":"2603.15689","title":"Transition Flow Matching","created":"2026-03-16","cited_by_count":2,"area":"diffusion"},{"id":"2605.16147","title":"Registers Matter for Pixel-Space Diffusion Transformers","created":"2026-05-15","cited_by_count":2,"area":"diffusion"},{"id":"2605.17244","title":"Drift Flow Matching","created":"2026-05-17","cited_by_count":2,"area":"diffusion"},{"id":"2606.19970","title":"CrossFlow: One-Step Generation Across Latent and Pixel Spaces","created":"2026-06-18","cited_by_count":2,"area":"diffusion"},{"id":"2608.18040","title":"Optimize Your Sampling: Tuned Diffusion Sampling with Bayesian Optimization","created":"2026-08-18","cited_by_count":2,"area":"diffusion"},{"id":"2609.17691","title":"Accelerating Diffusion Sampling via Speculative Draft Trees","created":"2026-09-15","cited_by_count":2,"area":"diffusion"},{"id":"2601.20606","title":"WFR-MFM: One-Step Inference for Dynamic Unbalanced Optimal Transport","created":"2026-01-28","cited_by_count":1,"area":"diffusion"},{"id":"2602.05319","title":"Accelerated Sequential Flow Matching: A Bayesian Filtering Perspective","created":"2026-02-05","cited_by_count":1,"area":"diffusion"},{"id":"2602.18482","title":"Boltzmann Generators for Condensed Matter via Riemannian Flow Matching","created":"2026-02-10","cited_by_count":1,"area":"diffusion"},{"id":"2605.09235","title":"On Variance Reduction in Learning Mean Flows","created":"2026-05-10","cited_by_count":1,"area":"diffusion"},{"id":"2606.04165","title":"CaloTrilogy: Toward a Breakthrough in One-Step, End-to-End, Physics-Guided Shower Generation for Modern Calorimeters","created":"2026-06-02","cited_by_count":1,"area":"diffusion"},{"id":"2607.03865","title":"High-Fidelity One-Step Generative Visuomotor Policy via Recursive Correction, Frequency Consistency, and Contrastive Flow Matching","created":"2026-07-04","cited_by_count":1,"area":"diffusion"},{"id":"2609.37147","title":"Improved Distributional Diffusion Models","created":"2026-09-29","cited_by_count":1,"area":"diffusion"},{"id":"2602.03564","title":"CoGenCast: A Coupled Autoregressive-Flow Generative Framework for Time Series Forecasting","created":"2026-02-03","cited_by_count":0,"area":"diffusion"},{"id":"2602.10764","title":"Dual-End Consistency Model","created":"2026-02-11","cited_by_count":0,"area":"diffusion"},{"id":"2605.12805","title":"Discrete MeanFlow: One-Step Generation via Conditional Transition Kernels","created":"2026-05-12","cited_by_count":0,"area":"diffusion"},{"id":"2605.16251","title":"Real-time Speech Restoration using Data Prediction Mean Flows","created":"2026-05-15","cited_by_count":0,"area":"diffusion"},{"id":"2605.17546","title":"Accelerating Redshift-Conditioned Galaxy Image Synthesis with One-step Generative Modeling","created":"2026-05-17","cited_by_count":0,"area":"diffusion"},{"id":"2605.20199","title":"FlowLM: Few-Step Language Modeling via Diffusion-to-Flow Adaptation","created":"2026-04-06","cited_by_count":0,"area":"diffusion"},{"id":"2606.00094","title":"Diffusion Image Generation with Explicit Modeling of Data Manifold Geometry","created":"2026-05-25","cited_by_count":0,"area":"diffusion"},{"id":"2606.05327","title":"Multimarginal flow matching with optimal transport potentials","created":"2026-06-03","cited_by_count":0,"area":"diffusion"},{"id":"2607.19332","title":"ROMS-IMLE: A Minimalist Approach to Competitive Single-Step Generative Modelling","created":"2026-07-21","cited_by_count":0,"area":"diffusion"},{"id":"2608.30913","title":"Decoupled Latent Flow Matching for Few-Step Joint Vocal-Accompaniment Separation","created":"2026-08-31","cited_by_count":0,"area":"diffusion"},{"id":"2609.32432","title":"Beyond the Manifold Hypothesis: Hybrid Spectral Parameterizations for Flow Matching","created":"2026-09-26","cited_by_count":0,"area":"diffusion"},{"id":"2609.34497","title":"QAMM: Adjoint MeanFlow Matching for Few-Step Offline Reinforcement Learning","created":"2026-09-28","cited_by_count":0,"area":"diffusion"},{"id":"2609.38364","title":"Acceleration of Diffusion Language Model through Discrete Average Generator","created":"2026-09-29","cited_by_count":0,"area":"diffusion"},{"id":"2610.00864","title":"Kinematic MeanFlow: One-Step Action Generation Policy for Robotic Foundation Models","created":"2026-10-01","cited_by_count":0,"area":"diffusion"},{"id":"2610.02251","title":"Rank-Aware Speculative Sampling for Diffusion Draft Trees","created":"2026-09-30","cited_by_count":0,"area":"diffusion"},{"id":"2610.09221","title":"Consistent Distribution Matching for Data-Free Diffusion Distillation","created":"2026-10-06","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}