Copertina

Iteratively Refined Image Reconstruction with Learned Attentive Regularizers

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Pourya, Mehrsa, Neumayer, Sebastian, Unser, Michael
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Image and Video Processing Computer Vision and Pattern Recognition Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

DEALing with Image Reconstruction: Deep Attentive Least Squares
di: Pourya, Mehrsa, et al.
Pubblicazione: (2025)

Learning of Patch-Based Smooth-Plus-Sparse Models for Image Reconstruction
di: Ducotterd, Stanislas, et al.
Pubblicazione: (2024)

Multivariate Fields of Experts for Convergent Image Reconstruction
di: Ducotterd, Stanislas, et al.
Pubblicazione: (2025)

Self-Calibrated Variance-Stabilizing Transformations for Real-World Image Denoising
di: Herbreteau, Sébastien, et al.
Pubblicazione: (2024)

MambaIRv2: Attentive State Space Restoration
di: Guo, Hang, et al.
Pubblicazione: (2024)

Hybrid Multihead Attentive Unet-3D for Brain Tumor Segmentation
di: Butt, Muhammad Ansab, et al.
Pubblicazione: (2024)

Iterative Learning for Joint Image Denoising and Motion Artifact Correction of 3D Brain MRI
di: Zhang, Lintao, et al.
Pubblicazione: (2024)

FUTON: Fourier Tensor Network for Implicit Neural Representations
di: Ashtari, Pooya, et al.
Pubblicazione: (2026)

MRI Reconstruction with Regularized 3D Diffusion Model (R3DM)
di: Bangun, Arya, et al.
Pubblicazione: (2024)

Learning-based Statistical Refinement for Denoising
di: Ke, Rihuan
Pubblicazione: (2026)

Inversion by Direct Iteration: An Alternative to Denoising Diffusion for Image Restoration
di: Delbracio, Mauricio, et al.
Pubblicazione: (2023)

Condition Errors Refinement in Autoregressive Image Generation with Diffusion Loss
di: Zhou, Yucheng, et al.
Pubblicazione: (2026)

Semantic Segmentation for Histopathology using Learned Regularization based on Global Proportions
di: Li, Yangping, et al.
Pubblicazione: (2026)

Retinal IPA: Iterative KeyPoints Alignment for Multimodal Retinal Imaging
di: Wang, Jiacheng, et al.
Pubblicazione: (2024)

Image-Adaptive GAN based Reconstruction
di: Hussein, Shady Abu, et al.
Pubblicazione: (2019)

SS-CTML: Self-Supervised Cross-Task Mutual Learning for CT Image Reconstruction
di: Chen, Gaofeng, et al.
Pubblicazione: (2024)

RED-PSM: Regularization by Denoising of Factorized Low Rank Models for Dynamic Imaging
di: Iskender, Berk, et al.
Pubblicazione: (2023)

RSR-NF: Neural Field Regularization by Static Restoration Priors for Dynamic Imaging
di: Iskender, Berk, et al.
Pubblicazione: (2025)

Pre-processing and Compression: Understanding Hidden Representation Refinement Across Imaging Domains via Intrinsic Dimension
di: Konz, Nicholas, et al.
Pubblicazione: (2024)

Generalized Compressed Sensing for Image Reconstruction with Diffusion Probabilistic Models
di: Zhang, Ling-Qi, et al.
Pubblicazione: (2024)

PhoCoLens: Photorealistic and Consistent Reconstruction in Lensless Imaging
di: Cai, Xin, et al.
Pubblicazione: (2024)

Learning Generalized Medical Image Representations through Image-Graph Contrastive Pretraining
di: Khanna, Sameer, et al.
Pubblicazione: (2024)

Tada-DIP: Input-adaptive Deep Image Prior for One-shot 3D Image Reconstruction
di: Bell, Evan, et al.
Pubblicazione: (2025)

A Trust-Guided Approach to MR Image Reconstruction with Side Information
di: Atalık, Arda, et al.
Pubblicazione: (2025)

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

MGAN-CRCM: A Novel Multiple Generative Adversarial Network and Coarse-Refinement Based Cognizant Method for Image Inpainting
di: Asad, Nafiz Al, et al.
Pubblicazione: (2024)

Reconstructing Depth Images of Moving Objects from Wi-Fi CSI Data
di: Cao, Guanyu, et al.
Pubblicazione: (2025)

Optimisation of SOUP-GAN and CSR-GAN for High Resolution MR Images Reconstruction
di: Rashid, Muneeba, et al.
Pubblicazione: (2026)

ReNoise: Real Image Inversion Through Iterative Noising
di: Garibi, Daniel, et al.
Pubblicazione: (2024)

High-resolution Multi-spectral Image Guided DEM Super-resolution using Sinkhorn Regularized Adversarial Network
di: Paul, Subhajit, et al.
Pubblicazione: (2023)

Hexagonal Image Processing in the Context of Machine Learning: Conception of a Biologically Inspired Hexagonal Deep Learning Framework
di: Schlosser, Tobias, et al.
Pubblicazione: (2019)

Multi-frequency Electrical Impedance Tomography Reconstruction with Multi-Branch Attention Image Prior
di: Fang, Hao, et al.
Pubblicazione: (2024)

Enhanced Low-Dose CT Image Reconstruction by Domain and Task Shifting Gaussian Denoisers
di: Selig, Tim, et al.
Pubblicazione: (2024)

Image2Points:A 3D Point-based Context Clusters GAN for High-Quality PET Image Reconstruction
di: Cui, Jiaqi, et al.
Pubblicazione: (2024)

Asynchronous Decentralized Federated Lifelong Learning for Landmark Localization in Medical Imaging
di: Zheng, Guangyao, et al.
Pubblicazione: (2023)

Plug-and-Play Diffusion Meets ADMM: Dual-Variable Coupling for Robust Medical Image Reconstruction
di: Du, Chenhe, et al.
Pubblicazione: (2026)

CRIS: Collaborative Refinement Integrated with Segmentation for Polyp Segmentation
di: Arudkar, Ankush Gajanan, et al.
Pubblicazione: (2024)

Iterative Explainability for Weakly Supervised Segmentation in Medical PE Detection
di: Condrea, Florin, et al.
Pubblicazione: (2024)

Conditional Denoising Diffusion Model-Based Robust MR Image Reconstruction from Highly Undersampled Data
di: Alsubaie, Mohammed, et al.
Pubblicazione: (2025)

A Deep Semantic Segmentation Network with Semantic and Contextual Refinements
di: Wang, Zhiyan, et al.
Pubblicazione: (2024)