Copertina

Swin2-MoSE: A New Single Image Super-Resolution Model for Remote Sensing

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Rossi, Leonardo, Bernuzzi, Vittorio, Fontanini, Tomaso, Bertozzi, Massimo, Prati, Andrea
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computer Vision and Pattern Recognition Image and Video Processing
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

WaveMAE: Wavelet decomposition Masked Auto-Encoder for Remote Sensing
di: Bernuzzi, Vittorio, et al.
Pubblicazione: (2025)

Memory-augmented Online Video Anomaly Detection
di: Rossi, Leonardo, et al.
Pubblicazione: (2023)

Single-Step Latent Consistency Model for Remote Sensing Image Super-Resolution
di: Sun, Xiaohui, et al.
Pubblicazione: (2025)

Heterogeneous Mixture of Experts for Remote Sensing Image Super-Resolution
di: Chen, Bowen, et al.
Pubblicazione: (2025)

An Advanced Features Extraction Module for Remote Sensing Image Super-Resolution
di: Sultan, Naveed, et al.
Pubblicazione: (2024)

Latent Diffusion, Implicit Amplification: Efficient Continuous-Scale Super-Resolution for Remote Sensing Images
di: Wu, Hanlin, et al.
Pubblicazione: (2024)

Adaptive Semantic-Enhanced Denoising Diffusion Probabilistic Model for Remote Sensing Image Super-Resolution
di: Sui, Jialu, et al.
Pubblicazione: (2024)

Super-Resolution for Remote Sensing Imagery via the Coupling of a Variational Model and Deep Learning
di: Sun, Jing, et al.
Pubblicazione: (2024)

Synthetic Abundance Maps for Unsupervised Super-Resolution of Hyperspectral Remote Sensing Images
di: Xu, Xinxin, et al.
Pubblicazione: (2026)

Multi-scale Attention Network for Single Image Super-Resolution
di: Wang, Yan, et al.
Pubblicazione: (2022)

Advancing Image Super-resolution Techniques in Remote Sensing: A Comprehensive Survey
di: Qi, Yunliang, et al.
Pubblicazione: (2025)

Unsupervised Super-Resolution of Hyperspectral Remote Sensing Images Using Fully Synthetic Training
di: Xu, Xinxin, et al.
Pubblicazione: (2026)

Large Kernel Distillation Network for Efficient Single Image Super-Resolution
di: Xie, Chengxing, et al.
Pubblicazione: (2024)

Hundred-Kilobyte Lookup Tables for Efficient Single-Image Super-Resolution
di: Huang, Binxiao, et al.
Pubblicazione: (2023)

NeurOp-Diff:Continuous Remote Sensing Image Super-Resolution via Neural Operator Diffusion
di: Xu, Zihao, et al.
Pubblicazione: (2025)

Mixture-of-Shape-Experts (MoSE): End-to-End Shape Dictionary Framework to Prompt SAM for Generalizable Medical Segmentation
di: Wei, Jia, et al.
Pubblicazione: (2025)

Efficient Single Image Super-Resolution with Entropy Attention and Receptive Field Augmentation
di: Zhao, Xiaole, et al.
Pubblicazione: (2024)

GRFormer: Grouped Residual Self-Attention for Lightweight Single Image Super-Resolution
di: Li, Yuzhen, et al.
Pubblicazione: (2024)

A Single-Frame and Multi-Frame Cascaded Image Super-Resolution Method
di: Sun, Jing, et al.
Pubblicazione: (2024)

A Systematic Survey of Deep Learning-based Single-Image Super-Resolution
di: Li, Juncheng, et al.
Pubblicazione: (2021)

GDSR: Global-Detail Integration through Dual-Branch Network with Wavelet Losses for Remote Sensing Image Super-Resolution
di: Zhu, Qiwei, et al.
Pubblicazione: (2024)

Multi-modal Uncertainty Robust Tree Cover Segmentation For High-Resolution Remote Sensing Images
di: Gui, Yuanyuan, et al.
Pubblicazione: (2025)

Iterative Network for Image Super-Resolution
di: Liu, Yuqing, et al.
Pubblicazione: (2020)

DiMoSR: Feature Modulation via Multi-Branch Dilated Convolutions for Efficient Image Super-Resolution
di: Yilmaz, M. Akin, et al.
Pubblicazione: (2025)

HSRMamba: Contextual Spatial-Spectral State Space Model for Single Image Hyperspectral Super-Resolution
di: Chen, Shi, et al.
Pubblicazione: (2025)

Image Super-Resolution Using T-Tetromino Pixels
di: Grosche, Simon, et al.
Pubblicazione: (2021)

Training Transformer Models by Wavelet Losses Improves Quantitative and Visual Performance in Single Image Super-Resolution
di: Korkmaz, Cansu, et al.
Pubblicazione: (2024)

EigenSR: Eigenimage-Bridged Pre-Trained RGB Learners for Single Hyperspectral Image Super-Resolution
di: Su, Xi, et al.
Pubblicazione: (2024)

Deep 3D World Models for Multi-Image Super-Resolution Beyond Optical Flow
di: Aira, Luca Savant, et al.
Pubblicazione: (2024)

Neuromorphic Imaging with Super-Resolution
di: Zhang, Pei, et al.
Pubblicazione: (2024)

High-Resolution Reference Image Assisted Volumetric Super-Resolution of Cardiac Diffusion Weighted Imaging
di: Wu, Yinzhe, et al.
Pubblicazione: (2023)

QUIET-SR: Quantum Image Enhancement Transformer for Single Image Super-Resolution
di: Dutta, Siddhant, et al.
Pubblicazione: (2025)

PIDSR: Complementary Polarized Image Demosaicing and Super-Resolution
di: Zhou, Shuangfan, et al.
Pubblicazione: (2025)

Learning the Degradation Distribution for Blind Image Super-Resolution
di: Luo, Zhengxiong, et al.
Pubblicazione: (2022)

A Wavelet Diffusion GAN for Image Super-Resolution
di: Aloisi, Lorenzo, et al.
Pubblicazione: (2024)

Exploiting Self-Supervised Constraints in Image Super-Resolution
di: Wu, Gang, et al.
Pubblicazione: (2024)

Does Diffusion Beat GAN in Image Super Resolution?
di: Kuznedelev, Denis, et al.
Pubblicazione: (2024)

Auto-Encoded Supervision for Perceptual Image Super-Resolution
di: Lee, MinKyu, et al.
Pubblicazione: (2024)

Multi-Resolution Data Fusion for Super Resolution Imaging
di: Reid, Emma J, et al.
Pubblicazione: (2021)

Undertrained Image Reconstruction for Realistic Degradation in Blind Image Super-Resolution
di: Ito, Ru, et al.
Pubblicazione: (2025)