Rethinking Diffusion Posterior Sampling: From Conditional Score Estimator to Maximizing a Posterior
Fuente:
arXiv
Saved in:
| Main Authors: | Xu, Tongda, Cai, Xiyan, Zhang, Xinjie, Ge, Xingtong, He, Dailan, Sun, Ming, Liu, Jingjing, Zhang, Ya-Qin, Li, Jian, Wang, Yan |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Consistency Model is an Effective Posterior Sample Approximation for Diffusion Inverse Solvers
by: Xu, Tongda, et al.
Published: (2024)
by: Xu, Tongda, et al.
Published: (2024)
Boosting Neural Representations for Videos with a Conditional Decoder
by: Zhang, Xinjie, et al.
Published: (2024)
by: Zhang, Xinjie, et al.
Published: (2024)
GaussianImage++: Boosted Image Representation and Compression with 2D Gaussian Splatting
by: Li, Tiantian, et al.
Published: (2025)
by: Li, Tiantian, et al.
Published: (2025)
GaussianImage: 1000 FPS Image Representation and Compression by 2D Gaussian Splatting
by: Zhang, Xinjie, et al.
Published: (2024)
by: Zhang, Xinjie, et al.
Published: (2024)
Fast Training-free Perceptual Image Compression
by: Zhu, Ziran, et al.
Published: (2025)
by: Zhu, Ziran, et al.
Published: (2025)
CAMSIC: Content-aware Masked Image Modeling Transformer for Stereo Image Compression
by: Zhang, Xinjie, et al.
Published: (2024)
by: Zhang, Xinjie, et al.
Published: (2024)
Task-Aware Encoder Control for Deep Video Compression
by: Ge, Xingtong, et al.
Published: (2024)
by: Ge, Xingtong, et al.
Published: (2024)
MEGA: Memory-Efficient 4D Gaussian Splatting for Dynamic Scenes
by: Zhang, Xinjie, et al.
Published: (2024)
by: Zhang, Xinjie, et al.
Published: (2024)
SenseFlow: Scaling Distribution Matching for Flow-based Text-to-Image Distillation
by: Ge, Xingtong, et al.
Published: (2025)
by: Ge, Xingtong, et al.
Published: (2025)
Versatile Recompression-Aware Perceptual Image Super-Resolution
by: He, Mingwei, et al.
Published: (2025)
by: He, Mingwei, et al.
Published: (2025)
DiffCom: Channel Received Signal is a Natural Condition to Guide Diffusion Posterior Sampling
by: Wang, Sixian, et al.
Published: (2024)
by: Wang, Sixian, et al.
Published: (2024)
Diffusion Posterior Proximal Sampling for Image Restoration
by: Wu, Hongjie, et al.
Published: (2024)
by: Wu, Hongjie, et al.
Published: (2024)
Stabilizing Diffusion Posterior Sampling by Noise--Frequency Continuation
by: Tian, Feng, et al.
Published: (2026)
by: Tian, Feng, et al.
Published: (2026)
DAPS++: Rethinking Diffusion Inverse Problems with Decoupled Posterior Annealing
by: Chen, Hao, et al.
Published: (2025)
by: Chen, Hao, et al.
Published: (2025)
Subspace Diffusion Posterior Sampling for Travel-Time Tomography
by: Cao, Xiang, et al.
Published: (2024)
by: Cao, Xiang, et al.
Published: (2024)
Offline Policy Optimization with Posterior Sampling
by: Lin, Hongqiang, et al.
Published: (2026)
by: Lin, Hongqiang, et al.
Published: (2026)
Outlier-robust Diffusion Posterior Sampling for Bayesian Inverse Problems
by: Yang, Yiming, et al.
Published: (2026)
by: Yang, Yiming, et al.
Published: (2026)
Idempotence and Perceptual Image Compression
by: Xu, Tongda, et al.
Published: (2024)
by: Xu, Tongda, et al.
Published: (2024)
Improving Joint Audio-Video Generation with Cross-Modal Context Learning
by: Ma, Bingqi, et al.
Published: (2026)
by: Ma, Bingqi, et al.
Published: (2026)
Fast Sampling of Cosmological Initial Conditions with Gaussian Neural Posterior Estimation
by: Savchenko, Oleg, et al.
Published: (2025)
by: Savchenko, Oleg, et al.
Published: (2025)
Diffusion Posterior Sampling is Computationally Intractable
by: Gupta, Shivam, et al.
Published: (2024)
by: Gupta, Shivam, et al.
Published: (2024)
Sequential Posterior Sampling with Diffusion Models
by: Stevens, Tristan S. W., et al.
Published: (2024)
by: Stevens, Tristan S. W., et al.
Published: (2024)
Flow Matching Posterior Sampling: A Training-free Conditional Generation for Flow Matching
by: Song, Kaiyu, et al.
Published: (2024)
by: Song, Kaiyu, et al.
Published: (2024)
Provably Robust Score-Based Diffusion Posterior Sampling for Plug-and-Play Image Reconstruction
by: Xu, Xingyu, et al.
Published: (2024)
by: Xu, Xingyu, et al.
Published: (2024)
Optimizing Input of Denoising Score Matching is Biased Towards Higher Score Norm
by: Xu, Tongda
Published: (2025)
by: Xu, Tongda
Published: (2025)
Conditional Mutual Information Based Diffusion Posterior Sampling for Solving Inverse Problems
by: Hamidi, Shayan Mohajer, et al.
Published: (2025)
by: Hamidi, Shayan Mohajer, et al.
Published: (2025)
IEnSF: Iterative Ensemble Score Filter for Reducing Error in Posterior Score Estimation in Nonlinear Data Assimilation
by: Zhang, Zezhong, et al.
Published: (2025)
by: Zhang, Zezhong, et al.
Published: (2025)
Online Posterior Sampling with a Diffusion Prior
by: Kveton, Branislav, et al.
Published: (2024)
by: Kveton, Branislav, et al.
Published: (2024)
Variational Diffusion Posterior Sampling with Midpoint Guidance
by: Moufad, Badr, et al.
Published: (2024)
by: Moufad, Badr, et al.
Published: (2024)
Provable Diffusion Posterior Sampling for Bayesian Inversion
by: Chang, Jinyuan, et al.
Published: (2025)
by: Chang, Jinyuan, et al.
Published: (2025)
Amortized Posterior Sampling with Diffusion Prior Distillation
by: Mammadov, Abbas, et al.
Published: (2024)
by: Mammadov, Abbas, et al.
Published: (2024)
Split Gibbs Discrete Diffusion Posterior Sampling
by: Chu, Wenda, et al.
Published: (2025)
by: Chu, Wenda, et al.
Published: (2025)
Posterior Distillation Sampling
by: Koo, Juil, et al.
Published: (2023)
by: Koo, Juil, et al.
Published: (2023)
PICD: Versatile Perceptual Image Compression with Diffusion Rendering
by: Xu, Tongda, et al.
Published: (2025)
by: Xu, Tongda, et al.
Published: (2025)
Active Sequential Posterior Estimation for Sample-Efficient Simulation-Based Inference
by: Griesemer, Sam, et al.
Published: (2024)
by: Griesemer, Sam, et al.
Published: (2024)
Mixed Noise and Posterior Estimation with Conditional DeepGEM
by: Hagemann, Paul, et al.
Published: (2024)
by: Hagemann, Paul, et al.
Published: (2024)
Non-Linear Reinforcement Learning in Large Action Spaces: Structural Conditions and Sample-efficiency of Posterior Sampling
by: Agarwal, Alekh, et al.
Published: (2022)
by: Agarwal, Alekh, et al.
Published: (2022)
DGSolver: Diffusion Generalist Solver with Universal Posterior Sampling for Image Restoration
by: Wang, Hebaixu, et al.
Published: (2025)
by: Wang, Hebaixu, et al.
Published: (2025)
Using Autodiff to Estimate Posterior Moments, Marginals and Samples
by: Bowyer, Sam, et al.
Published: (2023)
by: Bowyer, Sam, et al.
Published: (2023)
Semantic Diffusion Posterior Sampling for Cardiac Ultrasound Dehazing
by: Stevens, Tristan S. W., et al.
Published: (2025)
by: Stevens, Tristan S. W., et al.
Published: (2025)
Similar Items
-
Consistency Model is an Effective Posterior Sample Approximation for Diffusion Inverse Solvers
by: Xu, Tongda, et al.
Published: (2024) -
Boosting Neural Representations for Videos with a Conditional Decoder
by: Zhang, Xinjie, et al.
Published: (2024) -
GaussianImage++: Boosted Image Representation and Compression with 2D Gaussian Splatting
by: Li, Tiantian, et al.
Published: (2025) -
GaussianImage: 1000 FPS Image Representation and Compression by 2D Gaussian Splatting
by: Zhang, Xinjie, et al.
Published: (2024) -
Fast Training-free Perceptual Image Compression
by: Zhu, Ziran, et al.
Published: (2025)