Cover Image

OpenSR-SRGAN: A Flexible Super-Resolution Framework for Multispectral Earth Observation Data

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Donike, Simon, Aybar, Cesar, Contreras, Julio, Gómez-Chova, Luis
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MLP-SRGAN: A Single-Dimension Super Resolution GAN using MLP-Mixer
by: Mitha, Samir, et al.
Published: (2023)

On-Demand Earth System Data Cubes
by: Montero, David, et al.
Published: (2024)

SRGAN-CKAN: Expressive Super-Resolution with Nonlinear Functional Operators under Minimal Resources
by: Navaro-Aviña, Roberto Isai, et al.
Published: (2026)

PC-SRGAN: Physically Consistent Super-Resolution Generative Adversarial Network for General Transient Simulations
by: Hasan, Md Rakibul, et al.
Published: (2025)

SkipSR: Faster Super Resolution with Token Skipping
by: Choudhury, Rohan, et al.
Published: (2025)

Using Super-Resolution Imaging for Recognition of Low-Resolution Blurred License Plates: A Comparative Study of Real-ESRGAN, A-ESRGAN, and StarSRGAN
by: Wang, Ching-Hsiang
Published: (2024)

DiffFuSR: Super-Resolution of all Sentinel-2 Multispectral Bands using Diffusion Models
by: Sarmad, Muhammad, et al.
Published: (2025)

MAESTRO: Masked AutoEncoders for Multimodal, Multitemporal, and Multispectral Earth Observation Data
by: Labatie, Antoine, et al.
Published: (2025)

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

Brewing Stronger Features: Dual-Teacher Distillation for Multispectral Earth Observation
by: Wolf, Filip, et al.
Published: (2026)

Multispectral Blind Image Super-Resolution for Standing Dead Tree Segmentation
by: Ahishali, Mete, et al.
Published: (2026)

CLIP-SR: Collaborative Linguistic and Image Processing for Super-Resolution
by: Hu, Bingwen, et al.
Published: (2024)

PocketSR: The Super-Resolution Expert in Your Pocket Mobiles
by: Sun, Haoze, et al.
Published: (2025)

TextSR: Diffusion Super-Resolution with Multilingual OCR Guidance
by: Ye, Keren, et al.
Published: (2025)

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

HiT-SR: Hierarchical Transformer for Efficient Image Super-Resolution
by: Zhang, Xiang, et al.
Published: (2024)

SR-CACO-2: A Dataset for Confocal Fluorescence Microscopy Image Super-Resolution
by: Belharbi, Soufiane, et al.
Published: (2024)

MedSR-Vision: Deep Learning Framework for Multi-Domain Medical Image Super-Resolution
by: Gurappa, Subhash, et al.
Published: (2026)

When Earth Foundation Models Meet Diffusion: An Application to Land Surface Temperature Super-Resolution
by: Chen, Yiheng, et al.
Published: (2026)

Video Compression for Spatiotemporal Earth System Data
by: Pellicer-Valero, Oscar J., et al.
Published: (2025)

GramSR: Visual Feature Conditioning for Diffusion-Based Super-Resolution
by: D'Oronzio, Fabio, et al.
Published: (2026)

QuantSR+: Pushing the Limit of Quantized Image Super-Resolution Networks
by: Qin, Haotong, et al.
Published: (2026)

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

Beyond the Visible: Multispectral Vision-Language Learning for Earth Observation
by: Marimo, Clive Tinashe, et al.
Published: (2025)

BiMaCoSR: Binary One-Step Diffusion Model Leveraging Flexible Matrix Compression for Real Super-Resolution
by: Liu, Kai, et al.
Published: (2025)

AGI for the Earth, the path, possibilities and how to evaluate intelligence of models that work with Earth Observation Data?
by: Valipour, Mojtaba, et al.
Published: (2025)

Evaluating and Preserving High-level Fidelity in Super-Resolution
by: Rocafort, Josep M., et al.
Published: (2025)

SAM-DiffSR: Structure-Modulated Diffusion Model for Image Super-Resolution
by: Wang, Chengcheng, et al.
Published: (2024)

LinearSR: Unlocking Linear Attention for Stable and Efficient Image Super-Resolution
by: Li, Xiaohui, et al.
Published: (2025)

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

StructSR: Refuse Spurious Details in Real-World Image Super-Resolution
by: Li, Yachao, et al.
Published: (2025)

Hero-SR: One-Step Diffusion for Super-Resolution with Human Perception Priors
by: Wang, Jiangang, et al.
Published: (2024)

CausalSR: Structural Causal Model-Driven Super-Resolution with Counterfactual Inference
by: Lu, Zhengyang, et al.
Published: (2025)

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

Mapping Walnut Water Stress with High Resolution Multispectral UAV Imagery and Machine Learning
by: Wang, Kaitlyn, et al.
Published: (2023)

OmniEarth-Bench: Towards Holistic Evaluation of Earth's Six Spheres and Cross-Spheres Interactions with Multimodal Observational Earth Data
by: Wang, Fengxiang, et al.
Published: (2025)

Cross-sensor super-resolution of irregularly sampled Sentinel-2 time series
by: Okabayashi, Aimi, et al.
Published: (2024)

Impacts of Color and Texture Distortions on Earth Observation Data in Deep Learning
by: Willbo, Martin, et al.
Published: (2024)

Comparative Assessment of Multimodal Earth Observation Data for Soil Moisture Estimation
by: Kontogiorgakis, Ioannis, et al.
Published: (2026)

Better, Not Just More: Data-Centric Machine Learning for Earth Observation
by: Roscher, Ribana, et al.
Published: (2023)