Diff2Flow: Training Flow Matching Models via Diffusion Model Alignment
Fuente:
arXiv
Saved in:
| Main Authors: | Schusterbauer, Johannes, Gui, Ming, Fundel, Frank, Ommer, Björn |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Distillation of Diffusion Features for Semantic Correspondence
by: Fundel, Frank, et al.
Published: (2024)
by: Fundel, Frank, et al.
Published: (2024)
SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models
by: Ma, Pingchuan, et al.
Published: (2025)
by: Ma, Pingchuan, et al.
Published: (2025)
Boosting Latent Diffusion with Flow Matching
by: Schusterbauer, Johannes, et al.
Published: (2023)
by: Schusterbauer, Johannes, et al.
Published: (2023)
ZigMa: A DiT-style Zigzag Mamba Diffusion Model
by: Hu, Vincent Tao, et al.
Published: (2024)
by: Hu, Vincent Tao, et al.
Published: (2024)
Probabilistic Precipitation Nowcasting with Rectified Flow Transformers
by: Schusterbauer, Johannes, et al.
Published: (2026)
by: Schusterbauer, Johannes, et al.
Published: (2026)
DepthFM: Fast Monocular Depth Estimation with Flow Matching
by: Gui, Ming, et al.
Published: (2024)
by: Gui, Ming, et al.
Published: (2024)
Diffusion Models and Representation Learning: A Survey
by: Fuest, Michael, et al.
Published: (2024)
by: Fuest, Michael, et al.
Published: (2024)
Guiding Token-Sparse Diffusion Models
by: Krause, Felix, et al.
Published: (2026)
by: Krause, Felix, et al.
Published: (2026)
Denoising, Fast and Slow: Difficulty-Aware Adaptive Sampling for Image Generation
by: Schusterbauer, Johannes, et al.
Published: (2026)
by: Schusterbauer, Johannes, et al.
Published: (2026)
Reinforce Adjoint Matching: Scaling RL Post-Training of Diffusion and Flow-Matching Models
by: Bergmeister, Andreas, et al.
Published: (2026)
by: Bergmeister, Andreas, et al.
Published: (2026)
CleanDIFT: Diffusion Features without Noise
by: Stracke, Nick, et al.
Published: (2024)
by: Stracke, Nick, et al.
Published: (2024)
Adapting Self-Supervised Representations as a Latent Space for Efficient Generation
by: Gui, Ming, et al.
Published: (2025)
by: Gui, Ming, et al.
Published: (2025)
Value Gradient Guidance for Flow Matching Alignment
by: Liu, Zhen, et al.
Published: (2025)
by: Liu, Zhen, et al.
Published: (2025)
Equivariant Latent Alignment via Flow Matching under Group Symmetries
by: Kim, Sunghyun, et al.
Published: (2026)
by: Kim, Sunghyun, et al.
Published: (2026)
Purrception: Variational Flow Matching for Vector-Quantized Image Generation
by: Matişan, Răzvan-Andrei, et al.
Published: (2025)
by: Matişan, Răzvan-Andrei, et al.
Published: (2025)
Exploring Diffusion and Flow Matching Under Generator Matching
by: Patel, Zeeshan, et al.
Published: (2024)
by: Patel, Zeeshan, et al.
Published: (2024)
Align & Invert: Solving Inverse Problems with Diffusion and Flow-based Models via Representation Alignment
by: Sfountouris, Loukas, et al.
Published: (2025)
by: Sfountouris, Loukas, et al.
Published: (2025)
Gaussian Mixture Flow Matching Models
by: Chen, Hansheng, et al.
Published: (2025)
by: Chen, Hansheng, et al.
Published: (2025)
Shortcutting Pre-trained Flow Matching Diffusion Models is Almost Free Lunch
by: Cai, Xu, et al.
Published: (2025)
by: Cai, Xu, et al.
Published: (2025)
Straighter Flow Matching via a Diffusion-Based Coupling Prior
by: Xing, Siyu, et al.
Published: (2023)
by: Xing, Siyu, et al.
Published: (2023)
Flow-Factory: A Unified Framework for Reinforcement Learning in Flow-Matching Models
by: Ping, Bowen, et al.
Published: (2026)
by: Ping, Bowen, et al.
Published: (2026)
The Coupling Within: Flow Matching via Distilled Normalizing Flows
by: Berthelot, David, et al.
Published: (2026)
by: Berthelot, David, et al.
Published: (2026)
Flow Matching and Diffusion Models via PointNet for Generating Fluid Fields on Irregular Geometries
by: Kashefi, Ali
Published: (2026)
by: Kashefi, Ali
Published: (2026)
DisMo: Disentangled Motion Representations for Open-World Motion Transfer
by: Ressler-Antal, Thomas, et al.
Published: (2025)
by: Ressler-Antal, Thomas, et al.
Published: (2025)
Laplacian Multi-scale Flow Matching for Generative Modeling
by: Zhao, Zelin, et al.
Published: (2026)
by: Zhao, Zelin, et al.
Published: (2026)
Pyramidal Flow Matching for Efficient Video Generative Modeling
by: Jin, Yang, et al.
Published: (2024)
by: Jin, Yang, et al.
Published: (2024)
Bellman Optimal Stepsize Straightening of Flow-Matching Models
by: Nguyen, Bao, et al.
Published: (2023)
by: Nguyen, Bao, et al.
Published: (2023)
DiffRatio: Training One-Step Diffusion Models Without Teacher Supervision
by: Chen, Wenlin, et al.
Published: (2025)
by: Chen, Wenlin, et al.
Published: (2025)
MaskFlow: Discrete Flows For Flexible and Efficient Long Video Generation
by: Fuest, Michael, et al.
Published: (2025)
by: Fuest, Michael, et al.
Published: (2025)
SlimDiff: Training-Free, Activation-Guided Hands-free Slimming of Diffusion Models
by: Roy, Arani, et al.
Published: (2025)
by: Roy, Arani, et al.
Published: (2025)
Fine-Grained GRPO for Precise Preference Alignment in Flow Models
by: Zhou, Yujie, et al.
Published: (2025)
by: Zhou, Yujie, et al.
Published: (2025)
Score Distillation of Flow Matching Models
by: Zhou, Mingyuan, et al.
Published: (2025)
by: Zhou, Mingyuan, et al.
Published: (2025)
Longitudinal Flow Matching for Trajectory Modeling
by: Islam, Mohammad Mohaiminul, et al.
Published: (2025)
by: Islam, Mohammad Mohaiminul, et al.
Published: (2025)
Neural Flow Diffusion Models: Learnable Forward Process for Improved Diffusion Modelling
by: Bartosh, Grigory, et al.
Published: (2024)
by: Bartosh, Grigory, et al.
Published: (2024)
MosaicDiff: Training-free Structural Pruning for Diffusion Model Acceleration Reflecting Pretraining Dynamics
by: Guo, Bowei, et al.
Published: (2025)
by: Guo, Bowei, et al.
Published: (2025)
On the Design of One-step Diffusion via Shortcutting Flow Paths
by: Lin, Haitao, et al.
Published: (2025)
by: Lin, Haitao, et al.
Published: (2025)
Variational Rectified Flow Matching
by: Guo, Pengsheng, et al.
Published: (2025)
by: Guo, Pengsheng, et al.
Published: (2025)
Entropy-Controlled Flow Matching
by: Maduabuchi, Chika
Published: (2026)
by: Maduabuchi, Chika
Published: (2026)
Learning Straight Flows: Variational Flow Matching for Efficient Generation
by: Ma, Chenrui, et al.
Published: (2025)
by: Ma, Chenrui, et al.
Published: (2025)
FlowEdit: Inversion-Free Text-Based Editing Using Pre-Trained Flow Models
by: Kulikov, Vladimir, et al.
Published: (2024)
by: Kulikov, Vladimir, et al.
Published: (2024)
Similar Items
-
Distillation of Diffusion Features for Semantic Correspondence
by: Fundel, Frank, et al.
Published: (2024) -
SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models
by: Ma, Pingchuan, et al.
Published: (2025) -
Boosting Latent Diffusion with Flow Matching
by: Schusterbauer, Johannes, et al.
Published: (2023) -
ZigMa: A DiT-style Zigzag Mamba Diffusion Model
by: Hu, Vincent Tao, et al.
Published: (2024) -
Probabilistic Precipitation Nowcasting with Rectified Flow Transformers
by: Schusterbauer, Johannes, et al.
Published: (2026)