Flow-Based Generative Modeling

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66 papers in the last four weeks, up 288% on the four weeks before. 0.6% of all new papers.

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Aligning Latent Geometry for Spherical Flow Matching in Image Generation
May 14, 2026Tuna Han Salih Meral, Kaan Oktay, Hidir Yesiltepe +2Flow Matching Neural Representation Geometry
Virginia Tech · fal
EverAnimate: Minute-Scale Human Animation via Latent Flow Restoration
May 14, 2026Wuyang Li, Yang Gao, Mariam Hassan +4Flow Matching Long-Horizon Video Generation
The Velocity Deficit: Initial Energy Injection for Flow Matching
May 14, 2026Linze Li, Zong-Wei Hong, Shen Zhang +4Flow Matching Image Generation
Jiiov Technology, Beijing, China.
AnyFlow: Any-Step Video Diffusion Model with On-Policy Flow Map Distillation
May 13, 2026Yuchao Gu, Guian Fang, Yuxin Jiang +4Video Diffusion Models Diffusion Model Distillation
1NVIDIA · 2Show Lab, National University of Singapore · 3MIT
Sampling from Flow Language Models via Marginal-Conditioned Bridges
May 13, 2026Iskander Azangulov, Leo ZhangFlow Matching Language Model Decoding
Department of Statistics, University of Oxford
Path-independent Flow Matching for Multi-parameter Generative Dynamics
May 13, 2026Francisco Téllez, AmirHossein Zamani, Philippe Martin +5Flow Matching Flow Map Learning
Université de Montréal, Mila · Concordia University, Mila · Concordia University +2
Support-Conditioned Flow Matching Is Kernel Smoothing
May 13, 2026Daniel Matsui SmolaFlow Matching Cross-Attention
Department of Computer Science University of Washington Seattle, WA
Asymmetric Flow Models
May 13, 2026Hansheng Chen, Jan Ackermann, Minseo Kim +2Flow Matching T2I Generation
Stanford University
Coreset-Induced Conditional Velocity Flow Matching
May 13, 2026Xiao Wang, Zihua She, Jianxi SuConditional Flow Matching Rectified Flow
Department of Statistics, Purdue University
Discrete MeanFlow: One-Step Generation via Conditional Transition Kernels
May 12, 2026Fairoz Nower Khan, Nabuat Zaman Nahim, Md Sajid Ahmed +2Markov Models MeanFlow
Department of Computer Science, University of Kentucky Lexington, Kentucky 40506, USA
Constraint-Aware Flow Matching: Decision Aligned End-to-End Training for Constrained Sampling
May 12, 2026Jacob K. Christopher, James E. Warner, Ferdinando FiorettoConstrained Generative Modeling Flow Matching
University of Virginia · NASA Langley Research Center
Aligning Flow Map Policies with Optimal Q-Guidance
May 12, 2026Christos Ziakas, Alessandra Russo, Avishek Joey BoseFlow Matching Policy Optimization
Imperial College London · Mila
$h$ -control: Training-Free Camera Control via Block-Conditional Gibbs Refinement
May 12, 2026Yuzhu Wang, Xi Ye, Duo Su +2Markov Chain Monte Carlo Camera-Controlled Video Generation
Department of Computer Science and Technology, Tsinghua University · South China University of Technology
One-Step Generative Modeling via Wasserstein Gradient Flows
May 12, 2026Jiaqi Han, Puheng Li, Qiushan Guo +3Wasserstein Gradient Flows Image Generation
Stanford University · ByteDance
Sharpen Your Flow: Sharpness-Aware Sampling for Flow Matching
May 12, 2026Aditi Gupta, Soon Hoe Lim, Annan Yu +1Flow Matching Flow-Based Generative Modeling
Lawrence Berkeley National Laboratory · International Computer Science Institute · 1Lawrence Berkeley National Laboratory, 2International Computer Science Institute +4
Language Modeling with Hyperspherical Flows
May 11, 2026Justin Deschenaux, Caglar GulcehreNormalizing Flows Continuous Normalizing Flows
EPFL · Lausanne, Switzerland · EPFL, Lausanne, Switzerland +1
ELF: Embedded Language Flows
May 11, 2026Keya Hu, Linlu Qiu, Yiyang Lu +5Flow-Based Generative Modeling Diffusion Language Models
MIT
Follow the Mean: Reference-Guided Flow Matching
May 11, 2026Pedro M. P. Curvo, Maksim Zhdanov, Floor Eijkelboom +1Flow Matching Flow-Based Generative Modeling
University of Amsterdam · AMLab
UFO: A Unified Flow-Oriented Framework for Robust Continual Graph Learning
May 11, 2026Danhui Zhang, Zhe Wang, Qing Qing +6Replay-Based Continual Learning Flow-Based Generative Modeling
Jilin University · Adelaide University · RMIT University +1
Offline Preference Optimization for Rectified Flow with Noise-Tracked Pairs
May 10, 2026Yunhong Lu, Qichao Wang, Hengyuan Cao +2Pairwise Preference Learning Rectified Flow
Zhejiang University · Shanghai Institute for Advanced Study-Zhejiang University · Shanghai Institute for Mathematics and Interdisciplinary Sciences
Kinetic-Optimal Scheduling with Moment Correction for Metric-Induced Discrete Flow Matching in Zero-Shot Text-to-Speech
May 10, 2026Dong Yang, Yiyi Cai, Haoyu Zhang +2Flow Matching TTS Synthesis
1The University of Tokyo · 2Independent Researcher
dFlowGRPO: Rate-Aware Policy Optimization for Discrete Flow Models
May 10, 2026Zhengyan Wan, Yidong Ouyang, Panwen Hu +1Group Relative Policy Optimization Image Generation
Mohamed bin Zayed University of Artificial Intelligence · East China Normal University · University of California, Los Angeles +1
On Variance Reduction in Learning Mean Flows
May 10, 2026Juanwu Lu, Ziran WangFlow Matching MeanFlow
Purdue University
Discrete Flow Matching: Convergence Guarantees Under Minimal Assumptions
May 9, 2026Le-Tuyet-Nhi Pham, Giovanni Conforti, Zhenjie Ren +1Flow Matching Generative Modeling
École Polytechnique, CMAP, IP Paris Route de Saclay, 91120 Palaiseau, France · Università degli Studi di Padova, Via Trieste, 63, 35131 Padova, Italia · LaMME, Université Évry Paris-Saclay Boulevard François Mitterrand 91000, France
Restoration-Aligned Generative Flow Models for Blind Motion Deblurring
May 9, 2026Insoo Kim, Jinwoo ShinFlow Matching Image Deblurring
1NAVER Cloud · 2KAIST AI
Deterministic Decomposition of Stochastic Generative Dynamics
May 9, 2026Xingyu Song, Yuan Mei, Naoya TakeishiFlow Matching Stochastic Differential Equations
1The University of Tokyo · 2Zhejiang University · *Visiting student at The University of Tokyo from Zhejiang University.
Generalized Wasserstein Flow Matching: Transport Plans, Everywhere, All at Once
May 8, 2026Moritz Piening, Richard Duong, Gabriele SteidlFlow Matching Generative Modeling
Institut für Mathematik, Technische Universität Berlin, Germany
Exploring and Exploiting Stability in Latent Flow Matching
May 8, 2026Rania Briq, Michael Kamp, Ohad Fried +2Flow Matching Efficient Inference
Forschungszentrum Jülich · Technical University Dortmund · Lamarr Institute +4
What Time Is It? How Data Geometry Makes Time Conditioning Optional for Flow Matching
May 8, 2026Alec Helbling, Sebastian Gutierrez Hernandez, Benjamin Hoover +2Flow Matching Flow-Based Generative Modeling
Georgia Tech · IBM Research
Normalizing Trajectory Models
May 8, 2026Jiatao Gu, Tianrong Chen, Ying Shen +3Normalizing Flows Diffusion Model Distillation
Apple · UIUC

May 14, 2026, cs.CVJ/K move · Enter open · S save

Aligning Latent Geometry for Spherical Flow Matching in Image Generation

Tuna Han Salih Meral, Kaan Oktay, Hidir Yesiltepe, Adil Kaan Akan+1

Virginia Tech · fal

Flow Matching Neural Representation Geometry Conditional Image Generation Image Generation Flow-Based Generative Modeling

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Latent flow matching for image generation usually transports Gaussian noise to variational autoencoder latents along linear paths. Both endpoints, however, concentrate in thin spherical shells, and a Euclidean chord leaves those shells even when preprocessing aligns their radii. By decomposing each latent token into radial and angular components, we show through component-swap probes that decoded perceptual and semantic content is carried predominantly by direction, with radius contributing much less. We therefore project data latents onto a fixed token radius, use the radial projection of Gaussian noise as the spherical prior, finetune the decoder with the encoder frozen, and replace linear interpolation with spherical linear interpolation. The resulting geodesic paths stay on the sphere at every timestep, and their velocity targets are purely angular by construction. Under matched training, the method consistently improves class-conditional ImageNet-256 FID across different image tokenizers, leaves the diffusion architecture unchanged, and requires no auxiliary encoder or representation-alignment objective.

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Latest papers 331