:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Feng, Joe-Mei, Kao, Hsin-Hsiung
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition Numerical Analysis
Online Access:	https://arxiv.org/abs/2602.09415
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

User Manual for Model-based Imaging Inverse Problem
by: Wang, Xiaodong
Published: (2025)

Tensor-Based Synchronization and the Low-Rankness of the Block Trifocal Tensor
by: Miao, Daniel, et al.
Published: (2024)

Identifying Memorization of Diffusion Models through $p$-Laplace Analysis: Estimators, Bounds and Applications
by: Brokman, Jonathan, et al.
Published: (2025)

A Guide to Stochastic Optimisation for Large-Scale Inverse Problems
by: Ehrhardt, Matthias J., et al.
Published: (2024)

Condition numbers in multiview geometry, instability in relative pose estimation, and RANSAC
by: Fan, Hongyi, et al.
Published: (2023)

A Stochastic Nonlinear Dynamical System for Smoothing Noisy Eye Gaze Data
by: Thieu, Thoa, et al.
Published: (2025)

Solving Minimal Problems Without Matrix Inversion Using FFT-Based Interpolation
by: Wu, Haidong, et al.
Published: (2026)

Two Datasets Are Better Than One: Method of Double Moments for 3-D Reconstruction in Cryo-EM
by: Kileel, Joe, et al.
Published: (2025)

Application and Evaluation of the Common Circles Method
by: Quellmalz, Michael, et al.
Published: (2026)

Coupled Reconstruction of 2D Blood Flow and Vessel Geometry from Noisy Images via Physics-Informed Neural Networks and Quasi-Conformal Mapping
by: Zhang, Han, et al.
Published: (2025)

A Variational Approach for Joint Image Recovery and Feature Extraction Based on Spatially-Varying Generalised Gaussian Models
by: Chouzenoux, Emilie, et al.
Published: (2022)

Robustness and Exploration of Variational and Machine Learning Approaches to Inverse Problems: An Overview
by: Auras, Alexander, et al.
Published: (2024)

An Improved Variational Method for Image Denoising
by: Huang, Jing-En, et al.
Published: (2024)

Neural Operator-Grounded Continuous Tensor Function Representation and Its Applications
by: Su, Ruoyang, et al.
Published: (2026)

QuadSync: Quadrifocal Tensor Synchronization via Tucker Decomposition
by: Miao, Daniel, et al.
Published: (2026)

Non-Negative Reduced Biquaternion Matrix Factorization with Applications in Color Face Recognition
by: Miao, Jifei, et al.
Published: (2024)

STORK: Faster Diffusion And Flow Matching Sampling By Resolving Both Stiffness And Structure-Dependence
by: Tan, Zheng, et al.
Published: (2025)

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

Quaternion Nonlinear Transform-Induced Nuclear Norm for Low-Rank Tensor Completion
by: Karmakar, Biswarup, et al.
Published: (2026)

A Variational Bayesian Inference Theory of Elasticity and Its Mixed Probabilistic Finite Element Method for Inverse Deformation Solutions in Any Dimension
by: Wang, Chao, et al.
Published: (2024)

MBInception: A new Multi-Block Inception Model for Enhancing Image Processing Efficiency
by: Froughirad, Fatemeh, et al.
Published: (2024)

Applications of Tao General Difference in Discrete Domain
by: Tao, Linmi, et al.
Published: (2024)

Solutions to Elliptic and Parabolic Problems via Finite Difference Based Unsupervised Small Linear Convolutional Neural Networks
by: Celaya, Adrian, et al.
Published: (2023)

Discrete approximations of Gaussian smoothing and Gaussian derivatives
by: Lindeberg, Tony
Published: (2023)

Spatial-Spectral Adaptive Fidelity and Noise Prior Reduction Guided Hyperspectral Image Denoising
by: Xie, Xuelin, et al.
Published: (2026)

A fast and gridless ORKA algorithm for tracking moving and deforming objects
by: Bossmann, Florian, et al.
Published: (2024)

A lightweight residual network for unsupervised deformable image registration
by: Siyal, Ahsan Raza, et al.
Published: (2024)

DARE: A Deformable Adaptive Regularization Estimator for Learning-Based Medical Image Registration
by: Siyal, Ahsan Raza, et al.
Published: (2025)

A Plug-and-Play Framework for Volumetric Light-Sheet Image Reconstruction
by: Gong, Yi, et al.
Published: (2025)

Generative Prior-Guided Neural Interface Reconstruction for 3D Electrical Impedance Tomography
by: Liu, Haibo, et al.
Published: (2025)

Spatiotemporally adaptive compression for scientific dataset with feature preservation -- a case study on simulation data with extreme climate events analysis
by: Gong, Qian, et al.
Published: (2024)

HyDRA: Hybrid Denoising Regularization for Measurement-Only DEQ Training
by: Haltmeier, Markus, et al.
Published: (2026)

Two Models for Surface Segmentation using the Total Variation of the Normal Vector
by: Weiß, Manuel, et al.
Published: (2024)

An Active Contour Model Driven By the Hybrid Signed Pressure Function
by: Zhao, Jing
Published: (2024)

Bi-Band ECoGNet for ECoG Decoding on Classification Task
by: Ji, Changqing
Published: (2024)

DeepTV: A neural network approach for total variation minimization
by: Langer, Andreas, et al.
Published: (2024)

MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring
by: Gong, Qian, et al.
Published: (2024)

Texture Edge detection by Patch consensus (TEP)
by: Cui, Guangyu, et al.
Published: (2024)

Convergence analysis of equilibrium methods for inverse problems
by: Obmann, Daniel, et al.
Published: (2023)