Cover Image

SubFlow: Sub-mode Conditioned Flow Matching for Diverse One-Step Generation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lin, Yexiong, Shi, Jia, Ye, Shanshan, Wang, Wanyu, Yao, Yu, Liu, Tongliang
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Beyond Optimal Transport: Model-Aligned Coupling for Flow Matching
by: Lin, Yexiong, et al.
Published: (2025)

SoFlow: Solution Flow Models for One-Step Generative Modeling
by: Luo, Tianze, et al.
Published: (2025)

Variational Flow Maps: Make Some Noise for One-Step Conditional Generation
by: Mammadov, Abbas, et al.
Published: (2026)

VibrantSR: Sub-Meter Canopy Height Models from Sentinel-2 Using Generative Flow Matching
by: Ndegwa, Kiarie, et al.
Published: (2026)

Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching
by: Liu, Enshu, et al.
Published: (2024)

InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation
by: Liu, Xingchao, et al.
Published: (2023)

Trajectory Consistency for One-Step Generation on Euler Mean Flows
by: Li, Zhiqi, et al.
Published: (2026)

Learning a Consensus Sub-Network with Polarization Regularization and One Pass Training
by: Zhi, Xiaoying, et al.
Published: (2023)

MoFlow: One-Step Flow Matching for Human Trajectory Forecasting via Implicit Maximum Likelihood Estimation based Distillation
by: Fu, Yuxiang, et al.
Published: (2025)

Learning Straight Flows: Variational Flow Matching for Efficient Generation
by: Ma, Chenrui, et al.
Published: (2025)

Exploring Diffusion and Flow Matching Under Generator Matching
by: Patel, Zeeshan, et al.
Published: (2024)

On Flow Matching KL Divergence
by: Su, Maojiang, et al.
Published: (2025)

Flow-Factory: A Unified Framework for Reinforcement Learning in Flow-Matching Models
by: Ping, Bowen, et al.
Published: (2026)

Pyramidal Flow Matching for Efficient Video Generative Modeling
by: Jin, Yang, et al.
Published: (2024)

SnapFlow: One-Step Action Generation for Flow-Matching VLAs via Progressive Self-Distillation
by: Luan, Wuyang, et al.
Published: (2026)

Setting-Matched and Semantics-Scaled Benchmarking of One-Step Generative Models Against Multistep Diffusion and Flow Models
by: Ravishankar, Advaith, et al.
Published: (2026)

RenderFlow: Single-Step Neural Rendering via Flow Matching
by: Zhang, Shenghao, et al.
Published: (2026)

FREPix: Frequency-Heterogeneous Flow Matching for Pixel-Space Image Generation
by: Lin, Mingfeng, et al.
Published: (2026)

Out of Length Text Recognition with Sub-String Matching
by: Du, Yongkun, et al.
Published: (2024)

Flow Matching Posterior Sampling: A Training-free Conditional Generation for Flow Matching
by: Song, Kaiyu, et al.
Published: (2024)

Graph Flow Matching: Enhancing Image Generation with Neighbor-Aware Flow Fields
by: Siddiqui, Md Shahriar Rahim, et al.
Published: (2025)

Flow Generator Matching
by: Huang, Zemin, et al.
Published: (2024)

Generate in Reconstruction Space, Match in Semantic Space: Transport Geometry for One-Step Generation
by: Van Assel, Hugues, et al.
Published: (2026)

From Diffusion to One-Step Generation: A Comparative Study of Flow-Based Models with Application to Image Inpainting
by: Agarwal, Umang, et al.
Published: (2025)

SlimFlow: Training Smaller One-Step Diffusion Models with Rectified Flow
by: Zhu, Yuanzhi, et al.
Published: (2024)

Straighter Flow Matching via a Diffusion-Based Coupling Prior
by: Xing, Siyu, et al.
Published: (2023)

Shortest-Path Flow Matching with Mixture-Conditioned Bases for OOD Generalization to Unseen Conditions
by: Rubbi, Andrea, et al.
Published: (2026)

Mean Flows for One-step Generative Modeling
by: Geng, Zhengyang, et al.
Published: (2025)

MTFlow: Time-Conditioned Flow Matching for Microtubule Segmentation in Noisy Microscopy Images
by: Moctar, Sidi Mohamed Sid El, et al.
Published: (2026)

Laplacian Multi-scale Flow Matching for Generative Modeling
by: Zhao, Zelin, et al.
Published: (2026)

FlowInOne:Unifying Multimodal Generation as Image-in, Image-out Flow Matching
by: Yi, Junchao, et al.
Published: (2026)

Improved Sub-Visible Particle Classification in Flow Imaging Microscopy via Generative AI-Based Image Synthesis
by: Ozbulak, Utku, et al.
Published: (2025)

Value Gradient Guidance for Flow Matching Alignment
by: Liu, Zhen, et al.
Published: (2025)

Variational Rectified Flow Matching
by: Guo, Pengsheng, et al.
Published: (2025)

Entropy-Controlled Flow Matching
by: Maduabuchi, Chika
Published: (2026)

The Coupling Within: Flow Matching via Distilled Normalizing Flows
by: Berthelot, David, et al.
Published: (2026)

GuideFlow: Constraint-Guided Flow Matching for Planning in End-to-End Autonomous Driving
by: Liu, Lin, et al.
Published: (2025)

MFM-point: Multi-scale Flow Matching for Point Cloud Generation
by: Molodyk, Petr, et al.
Published: (2025)

PnP-Flow: Plug-and-Play Image Restoration with Flow Matching
by: Martin, Ségolène, et al.
Published: (2024)

High-Order Matching for One-Step Shortcut Diffusion Models
by: Chen, Bo, et al.
Published: (2025)