Image de couverture de livre

A low-complexity method for efficient depth-guided image deblurring

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Yi, Ziyao, Valsesia, Diego, Bianchi, Tiziano, Magli, Enrico
Format:	Preprint
Publié:	2026
Sujets:	Image and Video Processing Computer Vision and Pattern Recognition
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Deep Lidar-guided Image Deblurring
par: Yi, Ziyao, et autres
Publié: (2024)

Scalable neural pushbroom architectures for real-time denoising of hyperspectral images onboard satellites
par: Yi, Ziyao, et autres
Publié: (2026)

Fast Inference in Denoising Diffusion Models via MMD Finetuning
par: Aiello, Emanuele, et autres
Publié: (2023)

Onboard Hyperspectral Super-Resolution with Deep Pushbroom Neural Network
par: Piccinini, Davide, et autres
Publié: (2025)

Compress-Align-Detect: onboard change detection from unregistered images
par: Inzerillo, Gabriele, et autres
Publié: (2025)

Onboard deep lossless and near-lossless predictive coding of hyperspectral images with line-based attention
par: Valsesia, Diego, et autres
Publié: (2024)

A novel method and dataset for depth-guided image deblurring from smartphone Lidar
par: Montanaro, Antonio, et autres
Publié: (2025)

Deep 3D World Models for Multi-Image Super-Resolution Beyond Optical Flow
par: Aira, Luca Savant, et autres
Publié: (2024)

DarkDeblur: Learning single-shot image deblurring in low-light condition
par: Sharif, S M A, et autres
Publié: (2025)

Efficient onboard multi-task AI architecture based on self-supervised learning
par: Inzerillo, Gabriele, et autres
Publié: (2024)

Short-Time Fourier Transform for deblurring Variational Autoencoders
par: Dalal, Vibhu
Publié: (2024)

A Tree-guided CNN for image super-resolution
par: Tian, Chunwei, et autres
Publié: (2025)

Enhancing Label-efficient Medical Image Segmentation with Text-guided Diffusion Models
par: Feng, Chun-Mei
Publié: (2024)

Are foundation models efficient for medical image segmentation?
par: Ferreira, Danielle, et autres
Publié: (2023)

FastHDRNet: A new efficient method for SDR-to-HDR Translation
par: Tian, Siyuan, et autres
Publié: (2024)

SwinFuSR: an image fusion-inspired model for RGB-guided thermal image super-resolution
par: Arnold, Cyprien, et autres
Publié: (2024)

Text-guided multi-stage cross-perception network for medical image segmentation
par: Chen, Gaoyu, et autres
Publié: (2025)

Towards image compression with perfect realism at ultra-low bitrates
par: Careil, Marlène, et autres
Publié: (2023)

Annotation-efficient cancer detection with report-guided lesion annotation for deep learning-based prostate cancer detection in bpMRI
par: Bosma, Joeran S., et autres
Publié: (2021)

Conditional diffusion models for guided anomaly detection in brain images using fluid-driven anomaly randomization
par: Aguila, Ana Lawry, et autres
Publié: (2025)

Denoising via Repainting: an image denoising method using layer wise medical image repainting
par: Pal, Arghya, et autres
Publié: (2025)

PFCM: Poisson flow consistency models for low-dose CT image denoising
par: Hein, Dennis, et autres
Publié: (2024)

DmADs-Net: Dense multiscale attention and depth-supervised network for medical image segmentation
par: Fu, Zhaojin, et autres
Publié: (2024)

Mobile U-ViT: Revisiting large kernel and U-shaped ViT for efficient medical image segmentation
par: Tang, Fenghe, et autres
Publié: (2025)

Tumor-aware augmentation with task-guided attention analysis improves rectal cancer segmentation from magnetic resonance images
par: Rangnekar, Aneesh, et autres
Publié: (2026)

Lost in Tracking: Uncertainty-guided Cardiac Cine MRI Segmentation at Right Ventricle Base
par: Zhao, Yidong, et autres
Publié: (2024)

Diabetic retinopathy image classification method based on GreenBen data augmentation
par: Liu, Yutong, et autres
Publié: (2024)

denoiSplit: a method for joint microscopy image splitting and unsupervised denoising
par: Ashesh, Ashesh, et autres
Publié: (2024)

NeuroSymAD: A Neuro-Symbolic Framework for Interpretable Alzheimer's Disease Diagnosis
par: He, Yexiao, et autres
Publié: (2025)

An efficient dual-branch framework via implicit self-texture enhancement for arbitrary-scale histopathology image super-resolution
par: Duan, Minghong, et autres
Publié: (2024)

Blood vessel segmentation in en-face OCTA images: a frequency based method
par: Breger, Anna, et autres
Publié: (2021)

The object detection method aids in image reconstruction evaluation and clinical interpretation of meniscal abnormalities
par: Konovalova, Natalia, et autres
Publié: (2024)

Automated quality assessment using appearance-based simulations and hippocampus segmentation on low-field paediatric brain MR images
par: Sundaresan, Vaanathi, et autres
Publié: (2024)

Standard compliant video coding using low complexity, switchable neural wrappers
par: Hu, Yueyu, et autres
Publié: (2024)

Towards a unified view of unsupervised non-local methods for image denoising: the NL-Ridge approach
par: Herbreteau, Sébastien, et autres
Publié: (2022)

Clinically-guided Data Synthesis for Laryngeal Lesion Detection
par: Baldini, Chiara, et autres
Publié: (2025)

IRS: Incremental Relationship-guided Segmentation for Digital Pathology
par: Deng, Ruining, et autres
Publié: (2025)

Segmentation-guided MRI reconstruction for meaningfully diverse reconstructions
par: Morshuis, Jan Nikolas, et autres
Publié: (2024)

Fundus image enhancement through direct diffusion bridges
par: Kim, Sehui, et autres
Publié: (2024)

Uncertainty-guided Perturbation for Image Super-Resolution Diffusion Model
par: Zhang, Leheng, et autres
Publié: (2025)