Cover Image

SeG-SR: Integrating Semantic Knowledge into Remote Sensing Image Super-Resolution via Vision-Language Model

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Bowen, Chen, Keyan, Yang, Mohan, Zou, Zhengxia, Shi, Zhenwei
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

RSMamba: Remote Sensing Image Classification with State Space Model
by: Chen, Keyan, et al.
Published: (2024)

RSCaMa: Remote Sensing Image Change Captioning with State Space Model
by: Liu, Chenyang, et al.
Published: (2024)

SFR-Net: Learning Scale-Frustum Representations for Ultra-Wide Area Remote Sensing Image Segmentation
by: Zhong, Chuyu, et al.
Published: (2026)

RSRefSeg 2: Decoupling Referring Remote Sensing Image Segmentation with Foundation Models
by: Chen, Keyan, et al.
Published: (2025)

CloudMamba: An Uncertainty-Guided Dual-Scale Mamba Network for Cloud Detection in Remote Sensing Imagery
by: Yang, Jiajun, et al.
Published: (2026)

RSRefSeg: Referring Remote Sensing Image Segmentation with Foundation Models
by: Chen, Keyan, et al.
Published: (2025)

Remote Sensing SpatioTemporal Vision-Language Models: A Comprehensive Survey
by: Liu, Chenyang, et al.
Published: (2024)

TriDF: Triplane-Accelerated Density Fields for Few-Shot Remote Sensing Novel View Synthesis
by: Kang, Jiaming, et al.
Published: (2025)

CDMamba: Incorporating Local Clues into Mamba for Remote Sensing Image Binary Change Detection
by: Zhang, Haotian, et al.
Published: (2024)

Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model
by: Liu, Chenyang, et al.
Published: (2025)

FoBa: A Foreground-Background co-Guided Method and New Benchmark for Remote Sensing Semantic Change Detection
by: Zhang, Haotian, et al.
Published: (2025)

DynamicVis: Dynamic Visual Perception for Efficient Remote Sensing Foundation Models
by: Chen, Keyan, et al.
Published: (2025)

TaCo: Capturing Spatio-Temporal Semantic Consistency in Remote Sensing Change Detection
by: Guo, Han, et al.
Published: (2025)

Change-Agent: Towards Interactive Comprehensive Remote Sensing Change Interpretation and Analysis
by: Liu, Chenyang, et al.
Published: (2024)

Efficient Semantic Splatting for Remote Sensing Multi-view Segmentation
by: Qi, Zipeng, et al.
Published: (2024)

Pixel-Level Change Detection Pseudo-Label Learning for Remote Sensing Change Captioning
by: Liu, Chenyang, et al.
Published: (2023)

Semantic-CC: Boosting Remote Sensing Image Change Captioning via Foundational Knowledge and Semantic Guidance
by: Zhu, Yongshuo, et al.
Published: (2024)

Zero-Shot Image Harmonization with Generative Model Prior
by: Chen, Jianqi, et al.
Published: (2023)

MetaEarth: A Generative Foundation Model for Global-Scale Remote Sensing Image Generation
by: Yu, Zhiping, et al.
Published: (2024)

Semantic-CD: Remote Sensing Image Semantic Change Detection towards Open-vocabulary Setting
by: Zhu, Yongshuo, et al.
Published: (2025)

Multi-view Remote Sensing Image Segmentation With SAM priors
by: Qi, Zipeng, et al.
Published: (2024)

SlimDiffSR: Toward Lightweight and Efficient Remote Sensing Image Super-Resolution via Diffusion Model Distillation
by: Wang, Ce, et al.
Published: (2026)

BlockGaussian: Efficient Large-Scale Scene Novel View Synthesis via Adaptive Block-Based Gaussian Splatting
by: Wu, Yongchang, et al.
Published: (2025)

A Late-Stage Bitemporal Feature Fusion Network for Semantic Change Detection
by: Zhou, Chenyao, et al.
Published: (2024)

Dual-Branch Remote Sensing Infrared Image Super-Resolution
by: Ge, Xining, et al.
Published: (2026)

TinySR: Pruning Diffusion for Real-World Image Super-Resolution
by: Dong, Linwei, et al.
Published: (2025)

Learning to detect cloud and snow in remote sensing images from noisy labels
by: Liu, Zili, et al.
Published: (2024)

SeeSR: Towards Semantics-Aware Real-World Image Super-Resolution
by: Wu, Rongyuan, et al.
Published: (2023)

Frequency-Assisted Mamba for Remote Sensing Image Super-Resolution
by: Xiao, Yi, et al.
Published: (2024)

MegaSR: Mining Customized Semantics and Expressive Guidance for Real-World Image Super-Resolution
by: Li, Xinrui, et al.
Published: (2025)

SeD: Semantic-Aware Discriminator for Image Super-Resolution
by: Li, Bingchen, et al.
Published: (2024)

PromptSR: Cascade Prompting for Lightweight Image Super-Resolution
by: Liu, Wenyang, et al.
Published: (2025)

RealSR-R1: Reinforcement Learning for Real-World Image Super-Resolution with Vision-Language Chain-of-Thought
by: Qiao, Junbo, et al.
Published: (2025)

Observation-Guided Meteorological Field Downscaling at Station Scale: A Benchmark and a New Method
by: Liu, Zili, et al.
Published: (2024)

CasSR: Activating Image Power for Real-World Image Super-Resolution
by: Chen, Haolan, et al.
Published: (2024)

LocalSR: Image Super-Resolution in Local Region
by: Ji, Bo, et al.
Published: (2024)

MarsSeg: Mars Surface Semantic Segmentation with Multi-level Extractor and Connector
by: Li, Junbo, et al.
Published: (2024)

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

HiSem: Hierarchical Semantic Disentangling for Remote Sensing Image Change Captioning
by: Wang, Man, et al.
Published: (2026)