Cover Image

Towards Distribution-Shift Uncertainty Estimation for Inverse Problems with Generative Priors

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kim, Namhoon, Fridovich-Keil, Sara
Format:	Preprint
Published:	2025
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

3D Field of Junctions: A Noise-Robust, Training-Free Structural Prior for Volumetric Inverse Problems
by: Kim, Namhoon, et al.
Published: (2026)

Grids Often Outperform Implicit Neural Representation at Compressing Dense Signals
by: Kim, Namhoon, et al.
Published: (2025)

KLIP: localized distribution shift detection via KL-divergence with diffusion priors in Inverse Problems
by: Kheirandish, Alireza, et al.
Published: (2026)

Perfusion Imaging and Single Material Reconstruction in Polychromatic Photon Counting CT
by: Kim, Namhoon, et al.
Published: (2026)

Geometric Algebra Planes: Convex Implicit Neural Volumes
by: Sivgin, Irmak, et al.
Published: (2024)

ThermalNeRF: Thermal Radiance Fields
by: Lin, Yvette Y., et al.
Published: (2024)

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

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

Gradient Descent Provably Solves Nonlinear Tomographic Reconstruction
by: Fridovich-Keil, Sara, et al.
Published: (2023)

Mitigating Distributional Shift in Semantic Segmentation via Uncertainty Estimation from Unlabelled Data
by: Williams, David S. W., et al.
Published: (2024)

Patch-Based Diffusion for Data-Efficient, Radiologist-Preferred MRI Reconstruction
by: Sanda, Rohan, et al.
Published: (2025)

Generalize or Detect? Towards Robust Semantic Segmentation Under Multiple Distribution Shifts
by: Gao, Zhitong, et al.
Published: (2024)

Assessing Uncertainty Estimation Methods for 3D Image Segmentation under Distribution Shifts
by: Javanbakhat, Masoumeh, et al.
Published: (2024)

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

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

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

TIDE: Two-Stage Inverse Degradation Estimation with Guided Prior Disentanglement for Underwater Image Restoration
by: Venkatraman, Shravan, et al.
Published: (2025)

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

Any-Shift Prompting for Generalization over Distributions
by: Xiao, Zehao, et al.
Published: (2024)

Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching
by: Zhang, Yasi, et al.
Published: (2024)

DVD: Deterministic Video Depth Estimation with Generative Priors
by: Zhang, Hongfei, et al.
Published: (2026)

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

Control+Shift: Generating Controllable Distribution Shifts
by: Friedman, Roy, et al.
Published: (2024)

Benchmarking Object Detectors under Real-World Distribution Shifts in Satellite Imagery
by: Al-Emadi, Sara, et al.
Published: (2025)

UnPose: Uncertainty-Guided Diffusion Priors for Zero-Shot Pose Estimation
by: Jiang, Zhaodong, et al.
Published: (2025)

FiRe: Fixed-points of Restoration Priors for Solving Inverse Problems
by: Terris, Matthieu, et al.
Published: (2024)

ExtraGS: Geometric-Aware Trajectory Extrapolation with Uncertainty-Guided Generative Priors
by: Tan, Kaiyuan, et al.
Published: (2025)

DomainVerse: A Benchmark Towards Real-World Distribution Shifts For Tuning-Free Adaptive Domain Generalization
by: Hou, Feng, et al.
Published: (2024)

Deep Diffusion Image Prior for Efficient OOD Adaptation in 3D Inverse Problems
by: Chung, Hyungjin, et al.
Published: (2024)

Learning Image Priors through Patch-based Diffusion Models for Solving Inverse Problems
by: Hu, Jason, et al.
Published: (2024)

Query2Uncertainty: Robust Uncertainty Quantification and Calibration for 3D Object Detection under Distribution Shift
by: Beemelmanns, Till, et al.
Published: (2026)

Filter or Compensate: Towards Invariant Representation from Distribution Shift for Anomaly Detection
by: Chen, Zining, et al.
Published: (2024)

MaterialFusion: Enhancing Inverse Rendering with Material Diffusion Priors
by: Litman, Yehonathan, et al.
Published: (2024)

GazeShift: Unsupervised Gaze Estimation and Dataset for VR
by: Shapira, Gil, et al.
Published: (2026)

Rethinking Pose Refinement in 3D Gaussian Splatting under Pose Prior and Geometric Uncertainty
by: Kong, Mangyu, et al.
Published: (2026)

Bridging the Sampling Distribution Shift in Radio Map Estimation: A Trajectory-Aware Paradigm
by: Qiu, Feng, et al.
Published: (2026)

Inverse Problems with Diffusion Models: A MAP Estimation Perspective
by: Gutha, Sai Bharath Chandra, et al.
Published: (2024)

FAST-DIPS: Adjoint-Free Analytic Steps and Hard-Constrained Likelihood Correction for Diffusion-Prior Inverse Problems
by: Kim, Minwoo, et al.
Published: (2026)

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

ADM: Accelerated Diffusion Model via Estimated Priors for Robust Motion Prediction under Uncertainties
by: Li, Jiahui, et al.
Published: (2024)