Saved in:
| Main Authors: | Jiang, Zehua, Zhu, Fenghao, Wang, Xinquan, Huang, Chongwen, Zhang, Zhaoyang |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2605.08328 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching
by: Zhang, Yasi, et al.
Published: (2024)
by: Zhang, Yasi, et al.
Published: (2024)
Self-Flow-Matching assisted Full Waveform Inversion
by: Huang, Xinquan, et al.
Published: (2026)
by: Huang, Xinquan, et al.
Published: (2026)
Consistency Regularised Gradient Flows for Inverse Problems
by: Spagnoletti, Alessio, et al.
Published: (2026)
by: Spagnoletti, Alessio, et al.
Published: (2026)
Flower: A Flow-Matching Solver for Inverse Problems
by: Pourya, Mehrsa, et al.
Published: (2025)
by: Pourya, Mehrsa, et al.
Published: (2025)
FlowDPS: Flow-Driven Posterior Sampling for Inverse Problems
by: Kim, Jeongsol, et al.
Published: (2025)
by: Kim, Jeongsol, et al.
Published: (2025)
Formulating Event-based Image Reconstruction as a Linear Inverse Problem with Deep Regularization using Optical Flow
by: Zhang, Zelin, et al.
Published: (2021)
by: Zhang, Zelin, et al.
Published: (2021)
FlowLPS: Langevin-Proximal Sampling for Flow-based Inverse Problem Solvers
by: Park, Jonghyun, et al.
Published: (2025)
by: Park, Jonghyun, et al.
Published: (2025)
Training-free Linear Image Inverses via Flows
by: Pokle, Ashwini, et al.
Published: (2023)
by: Pokle, Ashwini, et al.
Published: (2023)
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)
Saving Foundation Flow-Matching Priors for Inverse Problems
by: Wan, Yuxiang, et al.
Published: (2025)
by: Wan, Yuxiang, et al.
Published: (2025)
FMPlug: Plug-In Foundation Flow-Matching Priors for Inverse Problems
by: Wan, Yuxiang, et al.
Published: (2025)
by: Wan, Yuxiang, et al.
Published: (2025)
Free Lunch for Stabilizing Rectified Flow Inversion
by: Wang, Chenru, et al.
Published: (2026)
by: Wang, Chenru, et al.
Published: (2026)
PnP-Flow: Plug-and-Play Image Restoration with Flow Matching
by: Martin, Ségolène, et al.
Published: (2024)
by: Martin, Ségolène, et al.
Published: (2024)
Block Flow: Learning Straight Flow on Data Blocks
by: Wang, Zibin, et al.
Published: (2025)
by: Wang, Zibin, et al.
Published: (2025)
PatchFlow: Leveraging a Flow-Based Model with Patch Features
by: Zhang, Boxiang, et al.
Published: (2026)
by: Zhang, Boxiang, et al.
Published: (2026)
ProxyFL: A Proxy-Guided Framework for Federated Semi-Supervised Learning
by: Chen, Duowen, et al.
Published: (2026)
by: Chen, Duowen, et al.
Published: (2026)
Analyzing and Mitigating Model Collapse in Rectified Flow Models
by: Zhu, Huminhao, et al.
Published: (2024)
by: Zhu, Huminhao, et al.
Published: (2024)
Beyond MMSE: Enhancing PnP Restoration with ProxiMAP
by: Vert, Kenta, et al.
Published: (2026)
by: Vert, Kenta, et al.
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)
Learning Normalized Energy Models for Linear Inverse Problems
by: Zilberstein, Nicolas, et al.
Published: (2026)
by: Zilberstein, Nicolas, et al.
Published: (2026)
PaddingFlow: Improving Normalizing Flows with Padding-Dimensional Noise
by: Meng, Qinglong, et al.
Published: (2024)
by: Meng, Qinglong, et al.
Published: (2024)
AlphaFlow: Understanding and Improving MeanFlow Models
by: Zhang, Huijie, et al.
Published: (2025)
by: Zhang, Huijie, et al.
Published: (2025)
Understanding Generalization in Diffusion Distillation via Probability Flow Distance
by: Zhang, Huijie, et al.
Published: (2025)
by: Zhang, Huijie, et al.
Published: (2025)
Diffusion Model Based Posterior Sampling for Noisy Linear Inverse Problems
by: Meng, Xiangming, et al.
Published: (2022)
by: Meng, Xiangming, et al.
Published: (2022)
Parallel Backpropagation for Inverse of a Convolution with Application to Normalizing Flows
by: Nagar, Sandeep, et al.
Published: (2024)
by: Nagar, Sandeep, et al.
Published: (2024)
DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Models
by: Wang, Hengkang, et al.
Published: (2024)
by: Wang, Hengkang, et al.
Published: (2024)
Variational Garrote for Sparse Inverse Problems
by: Lee, Kanghun, et al.
Published: (2026)
by: Lee, Kanghun, et al.
Published: (2026)
Functional Mean Flow in Hilbert Space
by: Li, Zhiqi, et al.
Published: (2025)
by: Li, Zhiqi, et al.
Published: (2025)
Unveil Inversion and Invariance in Flow Transformer for Versatile Image Editing
by: Xu, Pengcheng, et al.
Published: (2024)
by: Xu, Pengcheng, et al.
Published: (2024)
Comprehensive Examination of Unrolled Networks for Solving Linear Inverse Problems
by: Chen, Eric, et al.
Published: (2025)
by: Chen, Eric, et al.
Published: (2025)
Bidirectional Normalizing Flow: From Data to Noise and Back
by: Lu, Yiyang, et al.
Published: (2025)
by: Lu, Yiyang, et al.
Published: (2025)
Proxy-FDA: Proxy-based Feature Distribution Alignment for Fine-tuning Vision Foundation Models without Forgetting
by: Huang, Chen, et al.
Published: (2025)
by: Huang, Chen, et al.
Published: (2025)
Mixture Prototype Flow Matching for Open-Set Supervised Anomaly Detection
by: Wang, Fuyun, et al.
Published: (2026)
by: Wang, Fuyun, et al.
Published: (2026)
FlowDepth: Decoupling Optical Flow for Self-Supervised Monocular Depth Estimation
by: Sun, Yiyang, et al.
Published: (2024)
by: Sun, Yiyang, et al.
Published: (2024)
Pyramidal Flow Matching for Efficient Video Generative Modeling
by: Jin, Yang, et al.
Published: (2024)
by: Jin, Yang, et al.
Published: (2024)
DAWN-FM: Data-Aware and Noise-Informed Flow Matching for Solving Inverse Problems
by: Ahamed, Shadab, et al.
Published: (2024)
by: Ahamed, Shadab, et al.
Published: (2024)
ZeroFlow: Scalable Scene Flow via Distillation
by: Vedder, Kyle, et al.
Published: (2023)
by: Vedder, Kyle, et al.
Published: (2023)
MixerFlow: MLP-Mixer meets Normalising Flows
by: English, Eshant, et al.
Published: (2023)
by: English, Eshant, et al.
Published: (2023)
Towards Hierarchical Rectified Flow
by: Zhang, Yichi, et al.
Published: (2025)
by: Zhang, Yichi, et al.
Published: (2025)
Solving Linear Inverse Problems Using the Prior Implicit in a Denoiser
by: Kadkhodaie, Zahra, et al.
Published: (2020)
by: Kadkhodaie, Zahra, et al.
Published: (2020)
Similar Items
-
Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching
by: Zhang, Yasi, et al.
Published: (2024) -
Self-Flow-Matching assisted Full Waveform Inversion
by: Huang, Xinquan, et al.
Published: (2026) -
Consistency Regularised Gradient Flows for Inverse Problems
by: Spagnoletti, Alessio, et al.
Published: (2026) -
Flower: A Flow-Matching Solver for Inverse Problems
by: Pourya, Mehrsa, et al.
Published: (2025) -
FlowDPS: Flow-Driven Posterior Sampling for Inverse Problems
by: Kim, Jeongsol, et al.
Published: (2025)