:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Qi, Zhi, Yuan, Shihong, Yuan, Yulin, Kuang, Linling, Kabashima, Yoshiyuki, Meng, Xiangming
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2412.00664
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Diffusion Model Based Posterior Sampling for Noisy Linear Inverse Problems
by: Meng, Xiangming, et al.
Published: (2022)

SAIP: A Plug-and-Play Scale-adaptive Module in Diffusion-based Inverse Problems
by: Wang, Lingyu, et al.
Published: (2025)

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

Improving Diffusion Inverse Problem Solving with Decoupled Noise Annealing
by: Zhang, Bingliang, et al.
Published: (2024)

Diffusion Posterior Sampling for General Noisy Inverse Problems
by: Chung, Hyungjin, et al.
Published: (2022)

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

QCM-SGM+: Improved Quantized Compressed Sensing With Score-Based Generative Models
by: Meng, Xiangming, et al.
Published: (2023)

FlowDPS: Flow-Driven Posterior Sampling for Inverse Problems
by: Kim, Jeongsol, et al.
Published: (2025)

Diffusion Models for Solving Inverse Problems via Posterior Sampling with Piecewise Guidance
by: Mohseni-Sehdeh, Saeed, et al.
Published: (2025)

Improving Diffusion Models for Inverse Problems using Manifold Constraints
by: Chung, Hyungjin, et al.
Published: (2022)

Ambient Diffusion Posterior Sampling: Solving Inverse Problems with Diffusion Models Trained on Corrupted Data
by: Aali, Asad, et al.
Published: (2024)

Enhancing Diffusion Posterior Sampling for Inverse Problems by Integrating Crafted Measurements
by: Zhou, Shijie, et al.
Published: (2024)

Jacobian-aware Posterior Sampling for Inverse Problems
by: Hen, Liav, et al.
Published: (2025)

MACS: Measurement-Aware Consistency Sampling for Inverse Problems
by: Tanevardi, Amirreza, et al.
Published: (2025)

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

Application-driven Validation of Posteriors in Inverse Problems
by: Adler, Tim J., et al.
Published: (2023)

OTLRM: Orthogonal Learning-based Low-Rank Metric for Multi-Dimensional Inverse Problems
by: Wang, Xiangming, et al.
Published: (2024)

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

SITCOM: Step-wise Triple-Consistent Diffusion Sampling for Inverse Problems
by: Alkhouri, Ismail, et al.
Published: (2024)

Zero-Shot Adaptation for Approximate Posterior Sampling of Diffusion Models in Inverse Problems
by: Alçalar, Yaşar Utku, et al.
Published: (2024)

Distributional Consistency Loss: Beyond Pointwise Data Terms in Inverse Problems
by: Webber, George, et al.
Published: (2025)

Plug-and-Play Posterior Sampling for Blind Inverse Problems
by: Li, Anqi, et al.
Published: (2025)

Solving General Noisy Inverse Problem via Posterior Sampling: A Policy Gradient Viewpoint
by: Tang, Haoyue, et al.
Published: (2024)

SURE Guided Posterior Sampling: Trajectory Correction for Diffusion-Based Inverse Problems
by: Kim, Minwoo, et al.
Published: (2025)

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

UST-SSM: Unified Spatio-Temporal State Space Models for Point Cloud Video Modeling
by: Li, Peiming, et al.
Published: (2025)

Consistent3D: Towards Consistent High-Fidelity Text-to-3D Generation with Deterministic Sampling Prior
by: Wu, Zike, et al.
Published: (2024)

Enhancing Diffusion Models for Inverse Problems with Covariance-Aware Posterior Sampling
by: Hamidi, Shayan Mohajer, et al.
Published: (2024)

Solving Inverse Problems by Joint Posterior Maximization with Autoencoding Prior
by: González, Mario, et al.
Published: (2021)

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

Discrete Langevin-Inspired Posterior Sampling
by: Amballa, Chaitanya, et al.
Published: (2026)

Sequential Posterior Sampling with Diffusion Models
by: Stevens, Tristan S. W., et al.
Published: (2024)

Triadic Dynamics Aware Diffusion Posterior Sampling for Inverse Problems: Optimizing Guidance and Stochasticity Schedules
by: Bang, Junseo, et al.
Published: (2026)

Weak Diffusion Priors Can Still Achieve Strong Inverse-Problem Performance
by: Jia, Jing, et al.
Published: (2026)

Rethinking Unsupervised Cross-modal Flow Estimation: Learning from Decoupled Optimization and Consistency Constraint
by: Zhang, Runmin, et al.
Published: (2025)

Amortized Posterior Sampling with Diffusion Prior Distillation
by: Mammadov, Abbas, et al.
Published: (2024)

Split Gibbs Discrete Diffusion Posterior Sampling
by: Chu, Wenda, et al.
Published: (2025)

Test-Time Anchoring for Discrete Diffusion Posterior Sampling
by: Rout, Litu, et al.
Published: (2025)

ControlNet++: Improving Conditional Controls with Efficient Consistency Feedback
by: Li, Ming, et al.
Published: (2024)

GEPC: Group-Equivariant Posterior Consistency for Out-of-Distribution Detection in Diffusion Models
by: Rouzoumka, Yadang Alexis, et al.
Published: (2026)