Imagen de Portada

Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Zhang, Yasi, Yu, Peiyu, Zhu, Yaxuan, Chang, Yingshan, Gao, Feng, Wu, Ying Nian, Leong, Oscar
Formato:	Preprint
Publicado:	2024
Materias:	Computer Vision and Pattern Recognition Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Object-Conditioned Energy-Based Attention Map Alignment in Text-to-Image Diffusion Models
por: Zhang, Yasi, et al.
Publicado: (2024)

MT-EditFlow: Reinforcement Learning for Multi-Turn Image Editing with Flow Matching
por: Huang, Jiahui, et al.
Publicado: (2026)

Think Twice Before You Act: Improving Inverse Problem Solving With MCMC
por: Zhu, Yaxuan, et al.
Publicado: (2024)

Learning Difference-of-Convex Regularizers for Inverse Problems: A Flexible Framework with Theoretical Guarantees
por: Zhang, Yasi, et al.
Publicado: (2025)

Skews in the Phenomenon Space Hinder Generalization in Text-to-Image Generation
por: Chang, Yingshan, et al.
Publicado: (2024)

Score Distillation Beyond Acceleration: Generative Modeling from Corrupted Data
por: Zhang, Yasi, et al.
Publicado: (2025)

Denoising Score Distillation: From Noisy Diffusion Pretraining to One-Step High-Quality Generation
por: Chen, Tianyu, et al.
Publicado: (2025)

Saving Foundation Flow-Matching Priors for Inverse Problems
por: Wan, Yuxiang, et al.
Publicado: (2025)

FMPlug: Plug-In Foundation Flow-Matching Priors for Inverse Problems
por: Wan, Yuxiang, et al.
Publicado: (2025)

Latent Refinement via Flow Matching for Training-free Linear Inverse Problem Solving
por: Askari, Hossein, et al.
Publicado: (2025)

P-Flow: Proxy-gradient Flows for Linear Inverse Problems
por: Jiang, Zehua, et al.
Publicado: (2026)

Designing Instance-Level Sampling Schedules via REINFORCE with James-Stein Shrinkage
por: Yu, Peiyu, et al.
Publicado: (2025)

Flower: A Flow-Matching Solver for Inverse Problems
por: Pourya, Mehrsa, et al.
Publicado: (2025)

Causality $\neq$ Decodability, and Vice Versa: Lessons from Interpreting Counting ViTs
por: Huang, Lianghuan, et al.
Publicado: (2025)

FlowLUT: Efficient Image Enhancement via Differentiable LUTs and Iterative Flow Matching
por: Hu, Liubing, et al.
Publicado: (2025)

Solving Linear Inverse Problems Using the Prior Implicit in a Denoiser
por: Kadkhodaie, Zahra, et al.
Publicado: (2020)

REAL: Regression-Aware Reinforcement Learning for LLM-as-a-Judge
por: Zhang, Yasi, et al.
Publicado: (2026)

Trajectory Constraints for Imaging Inverse Problems
por: Huang, Chaoyan, et al.
Publicado: (2026)

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

RNA-FM: Flow-Matching Generative Model for Genome-wide RNA-Seq Prediction
por: Song, Yaxuan, et al.
Publicado: (2026)

EdiVal-Agent: An Object-Centric Framework for Automated, Fine-Grained Evaluation of Multi-Turn Editing
por: Chen, Tianyu, et al.
Publicado: (2025)

STeP: A Framework for Solving Scientific Video Inverse Problems with Spatiotemporal Diffusion Priors
por: Zhang, Bingliang, et al.
Publicado: (2025)

VHS: High-Resolution Iterative Stereo Matching with Visual Hull Priors
por: Plack, Markus, et al.
Publicado: (2024)

Solving Inverse Problems via Diffusion-Based Priors: An Approximation-Free Ensemble Sampling Approach
por: Chen, Haoxuan, et al.
Publicado: (2025)

Letting Trajectories Spread: Quality-Preserving Control for Diverse Flow Matching
por: Wu, Jingxuan, et al.
Publicado: (2025)

Fast Samplers for Inverse Problems in Iterative Refinement Models
por: Pandey, Kushagra, et al.
Publicado: (2024)

Learning Concept-Based Causal Transition and Symbolic Reasoning for Visual Planning
por: Qian, Yilue, et al.
Publicado: (2023)

Training-free Linear Image Inverses via Flows
por: Pokle, Ashwini, et al.
Publicado: (2023)

Solving Inverse Problems using Diffusion with Iterative Colored Renoising
por: Bendel, Matt C., et al.
Publicado: (2025)

PRISM: Probabilistic and Robust Inverse Solver with Measurement-Conditioned Diffusion Prior for Blind Inverse Problems
por: Hu, Yuanyun, et al.
Publicado: (2025)

Unlocking the Potential of Text-to-Image Diffusion with PAC-Bayesian Theory
por: Jiang, Eric Hanchen, et al.
Publicado: (2024)

LeapAlign: Post-Training Flow Matching Models at Any Generation Step by Building Two-Step Trajectories
por: Liang, Zhanhao, et al.
Publicado: (2026)

Longitudinal Flow Matching for Trajectory Modeling
por: Islam, Mohammad Mohaiminul, et al.
Publicado: (2025)

Iterative Volume Fusion for Asymmetric Stereo Matching
por: Gao, Yuanting, et al.
Publicado: (2025)

TIGFlow-GRPO: Trajectory Forecasting via Interaction-Aware Flow Matching and Reward-Guided Optimization
por: Jing, Xuepeng, et al.
Publicado: (2026)

Riemannian AmbientFlow: Towards Simultaneous Manifold Learning and Generative Modeling from Corrupted Data
por: Diepeveen, Willem, et al.
Publicado: (2026)

DAWN-FM: Data-Aware and Noise-Informed Flow Matching for Solving Inverse Problems
por: Ahamed, Shadab, et al.
Publicado: (2024)

DFM-VLA: Iterative Action Refinement for Robot Manipulation via Discrete Flow Matching
por: Chen, Jiayi, et al.
Publicado: (2026)

What's in a Prior? Learned Proximal Networks for Inverse Problems
por: Fang, Zhenghan, et al.
Publicado: (2023)

Diffusion Prior-Based Amortized Variational Inference for Noisy Inverse Problems
por: Lee, Sojin, et al.
Publicado: (2024)