Copertina

Skeletonisation Scale-Spaces

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Gierke, Julia, Peter, Pascal
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Image and Video Processing
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Skeleton Sparsification and Densification Scale-Spaces
di: Gierke, Julia, et al.
Pubblicazione: (2025)

Generalised Diffusion Probabilistic Scale-Spaces
di: Peter, Pascal
Pubblicazione: (2023)

Image Compression with Isotropic and Anisotropic Shepard Inpainting
di: Mohideen, Rahul Mohideen Kaja, et al.
Pubblicazione: (2024)

MSFMamba: Multi-Scale Feature Fusion State Space Model for Multi-Source Remote Sensing Image Classification
di: Gao, Feng, et al.
Pubblicazione: (2024)

Connecting Image Inpainting with Denoising in the Homogeneous Diffusion Setting
di: Gaa, Daniel, et al.
Pubblicazione: (2023)

Using Diffusion Models to Generate Synthetic Labelled Data for Medical Image Segmentation
di: Saragih, Daniel, et al.
Pubblicazione: (2023)

Efficient Image Compression Using Advanced State Space Models
di: Arezki, Bouzid, et al.
Pubblicazione: (2024)

OSLO-IC: On-the-Sphere Learned Omnidirectional Image Compression with Attention Modules and Spatial Context
di: Wawerek-López, Paul, et al.
Pubblicazione: (2025)

Analyzing the Effect of $k$-Space Features in MRI Classification Models
di: Passigan, Pascal, et al.
Pubblicazione: (2024)

Application Space and the Rate-Distortion-Complexity Analysis of Neural Video CODECs
di: de Queiroz, Ricardo L., et al.
Pubblicazione: (2025)

Advanced Design Space Exploration for Joint Energy and Quality Optimization for VVC
di: Kränzler, Matthias, et al.
Pubblicazione: (2022)

Infrared Computer Vision for Utility-Scale Photovoltaic Array Inspection
di: Ramirez, David F., et al.
Pubblicazione: (2024)

Design Space Exploration at Frame-Level for Joint Decoding Energy and Quality Optimization in VVC
di: Stürzenhofäcker, Teresa, et al.
Pubblicazione: (2024)

High-Quality and Large-Scale Image Downscaling for Modern Display Devices
di: Mitra, Suvrojit, et al.
Pubblicazione: (2025)

Post-Training Quantization for Vision Mamba with k-Scaled Quantization and Reparameterization
di: Shi, Bo-Yun, et al.
Pubblicazione: (2025)

SITUP: Scale Invariant Tracking using Average Peak-to-Correlation Energy
di: Ma, Haoyi, et al.
Pubblicazione: (2018)

A Multi-Scale Spatial-Temporal Network for Wireless Video Transmission
di: Zhou, Xinyi, et al.
Pubblicazione: (2024)

CT-Mamba: A Hybrid Convolutional State Space Model for Low-Dose CT Denoising
di: Li, Linxuan, et al.
Pubblicazione: (2024)

SuperRivolution: Fine-Scale Rivers from Coarse Temporal Satellite Imagery
di: Daroya, Rangel, et al.
Pubblicazione: (2025)

Multi-Scale Energy (MuSE) plug and play framework for inverse problems
di: Chand, Jyothi Rikhab, et al.
Pubblicazione: (2023)

RoTIR: Rotation-Equivariant Network and Transformers for Fish Scale Image Registration
di: Wang, Ruixiong, et al.
Pubblicazione: (2024)

Arbitrary Scale Super-Resolution Assisted Lunar Crater Detection in Satellite Images
di: Tewari, Atal, et al.
Pubblicazione: (2024)

QSMnet-INR: Single-Orientation Quantitative Susceptibility Mapping via Implicit Neural Representation in k-Space
di: Cai, Xuan, et al.
Pubblicazione: (2025)

Cuboid-Net: A Multi-Branch Convolutional Neural Network for Joint Space-Time Video Super Resolution
di: Fu, Congrui, et al.
Pubblicazione: (2024)

Large-Scale Deployment and Analytical Implications of Structured Quality Control in Diffusion Magnetic Resonance Imaging
di: Kim, Michael E., et al.
Pubblicazione: (2026)

PupiNet: Seamless OCT-OCTA Interconversion Through Wavelet-Driven and Multi-Scale Attention Mechanisms
di: Tian, Renzhi, et al.
Pubblicazione: (2025)

Arctic Sea Ice Image Super-Resolution Based on Multi-Scale Convolution and Dual-Gating Mechanism
di: Fang, Zhaomin, et al.
Pubblicazione: (2024)

3DAttGAN: A 3D Attention-based Generative Adversarial Network for Joint Space-Time Video Super-Resolution
di: Fu, Congrui, et al.
Pubblicazione: (2024)

Maximum Spherical Mean Value (mSMV) Filtering for Whole Brain Quantitative Susceptibility Mapping
di: Roberts, Alexandra G., et al.
Pubblicazione: (2023)

Space-time inverse-scattering of translation-based motion
di: Kim, Jeongsoo, et al.
Pubblicazione: (2024)

Diffusion Models for Unsupervised Anomaly Detection in Fetal Brain Ultrasound
di: Mykula, Hanna, et al.
Pubblicazione: (2024)

A Fast Volumetric Capture and Reconstruction Pipeline for Dynamic Point Clouds and Gaussian Splats
di: Charisoudis, Athanasios, et al.
Pubblicazione: (2025)

Super-Resolution of Sentinel-2 Images Using a Geometry-Guided Back-Projection Network with Self-Attention
di: Pereira-Sánchez, Ivan, et al.
Pubblicazione: (2025)

Physics-Informed Deep Learning for Motion-Corrected Reconstruction of Quantitative Brain MRI
di: Eichhorn, Hannah, et al.
Pubblicazione: (2024)

A Spectrum-based Image Denoising Method with Edge Feature Enhancement
di: Luvton, Peter, et al.
Pubblicazione: (2024)

Boosting Cardiac Color Doppler Frame Rates with Deep Learning
di: Puig, Julia, et al.
Pubblicazione: (2024)

Latent Space Single-Pixel Imaging Under Low-Sampling Conditions
di: Yuan, Chenyu
Pubblicazione: (2025)

FixPix: Fixing Bad Pixels using Deep Learning
di: Sarkar, Sreetama, et al.
Pubblicazione: (2023)

$k$-means on Positive Definite Matrices, and an Application to Clustering in Radar Image Sequences
di: Fryer, Daniel, et al.
Pubblicazione: (2020)

Vision-Inspired Image Quality Assessment for Radar-Based Human Activity Representations
di: Trinh, Huy, et al.
Pubblicazione: (2026)