Cover Image

Deep Data Consistency: a Fast and Robust Diffusion Model-based Solver for Inverse Problems

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Hanyu, Hao, Zhixiu, Xiao, Liying
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Mitigating Data Consistency Induced Discrepancy in Cascaded Diffusion Models for Sparse-view CT Reconstruction
by: Chen, Hanyu, et al.
Published: (2024)

Outlier-Robust Diffusion Solvers for Inverse Problems
by: Zheng, Yang, et al.
Published: (2026)

Fast and Stable Diffusion Inverse Solver with History Gradient Update
by: He, Linchao, et al.
Published: (2023)

Measurement-Consistent Langevin Corrector for Stabilizing Latent Diffusion Inverse Problem Solvers
by: Hyoseok, Lee, et al.
Published: (2026)

Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency
by: Song, Bowen, et al.
Published: (2023)

InstantViR: Real-Time Video Inverse Problem Solver with Distilled Diffusion Prior
by: Bai, Weimin, et al.
Published: (2025)

Consistency Model is an Effective Posterior Sample Approximation for Diffusion Inverse Solvers
by: Xu, Tongda, et al.
Published: (2024)

Accelerating Video Inverse Problem Solvers with Autoregressive Diffusion Models
by: Kwon, Taesung, et al.
Published: (2026)

Data-Consistent Learning of Inverse Problems
by: Haltmeier, Markus, et al.
Published: (2026)

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

DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models
by: Lu, Cheng, et al.
Published: (2022)

Image Diffusion Preview with Consistency Solver
by: Wang, Fu-Yun, et al.
Published: (2025)

Distilling Parallel Gradients for Fast ODE Solvers of Diffusion Models
by: Zhu, Beier, et al.
Published: (2025)

ERA-Solver: Error-Robust Adams Solver for Fast Sampling of Diffusion Probabilistic Models
by: Li, Shengming, et al.
Published: (2023)

Differentiable Solver Search for Fast Diffusion Sampling
by: Wang, Shuai, et al.
Published: (2025)

Inverse-and-Edit: Effective and Fast Image Editing by Cycle Consistency Models
by: Beletskii, Ilia, et al.
Published: (2025)

Particle-Filtering-based Latent Diffusion for Inverse Problems
by: Nazemi, Amir, et al.
Published: (2024)

Principled Design of Diffusion-based Optimizers for Inverse Problems
by: Oscanoa, Julio, et al.
Published: (2026)

Distilling ODE Solvers of Diffusion Models into Smaller Steps
by: Kim, Sanghwan, et al.
Published: (2023)

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

Prototype Clustered Diffusion Models for Versatile Inverse Problems
by: Zhang, Jinghao, et al.
Published: (2024)

Consistency Purification: Effective and Efficient Diffusion Purification towards Certified Robustness
by: Li, Yiquan, et al.
Published: (2024)

Consistent Diffusion: Denoising Diffusion Model with Data-Consistent Training for Image Restoration
by: Cheng, Xinlong, et al.
Published: (2024)

PCM : Picard Consistency Model for Fast Parallel Sampling of Diffusion Models
by: So, Junhyuk, et al.
Published: (2025)

VISION-XL: High Definition Video Inverse Problem Solver using Latent Image Diffusion Models
by: Kwon, Taesung, et al.
Published: (2024)

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

Unsupervised Detection of Distribution Shift in Inverse Problems using Diffusion Models
by: Shoushtari, Shirin, et al.
Published: (2025)

NeRV-Diffusion: Diffuse Implicit Neural Representations for Video Synthesis
by: Ren, Yixuan, et al.
Published: (2025)

Consistency Regularised Gradient Flows for Inverse Problems
by: Spagnoletti, Alessio, et al.
Published: (2026)

Improving Decoupled Posterior Sampling for Inverse Problems using Data Consistency Constraint
by: Qi, Zhi, et al.
Published: (2024)

Leveraging Previous Steps: A Training-free Fast Solver for Flow Diffusion
by: Song, Kaiyu, et al.
Published: (2024)

Regularization by Texts for Latent Diffusion Inverse Solvers
by: Kim, Jeongsol, et al.
Published: (2023)

Improving Diffusion Models for Inverse Problems Using Optimal Posterior Covariance
by: Peng, Xinyu, et al.
Published: (2024)

Fast and Robust Phase Retrieval via Deep Expectation-Consistent Approximation
by: Shastri, Saurav K., et al.
Published: (2024)

FlowLPS: Langevin-Proximal Sampling for Flow-based Inverse Problem Solvers
by: Park, Jonghyun, et al.
Published: (2025)

Improving Consistency in Diffusion Models for Image Super-Resolution
by: Gu, Junhao, et al.
Published: (2024)

Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis
by: Wei, Yongxian, et al.
Published: (2025)

Direct Consistency Optimization for Robust Customization of Text-to-Image Diffusion Models
by: Lee, Kyungmin, et al.
Published: (2024)

Bespoke Non-Stationary Solvers for Fast Sampling of Diffusion and Flow Models
by: Shaul, Neta, et al.
Published: (2024)

DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Models
by: Wang, Hengkang, et al.
Published: (2024)