:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Ding, Meng, Fu, Xiao
Format:	Preprint
Published:	2025
Subjects:	Image and Video Processing Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2512.19489
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Generalized Tensor Formulation for Hyperspectral Image Super-Resolution Under General Spatial Blurring
by: Wang, Yinjian, et al.
Published: (2024)

A General Framework for Group Sparsity in Hyperspectral Unmixing Using Endmember Bundles
by: Bhusal, Gokul, et al.
Published: (2025)

Rethinking the Upsampling Layer in Hyperspectral Image Super Resolution
by: Shi, Haohan, et al.
Published: (2025)

A Spectral Diffusion Prior for Hyperspectral Image Super-Resolution
by: Liu, Jianjun, et al.
Published: (2023)

Hipandas: Hyperspectral Image Joint Denoising and Super-Resolution by Image Fusion with the Panchromatic Image
by: Xu, Shuang, et al.
Published: (2024)

Onboard Hyperspectral Super-Resolution with Deep Pushbroom Neural Network
by: Piccinini, Davide, et al.
Published: (2025)

Spectral Dynamic Attention Network for Hyperspectral Image Super-Resolution
by: Zhang, Tengya, et al.
Published: (2026)

Unregistered Spectral Image Fusion: Unmixing, Adversarial Learning, and Recoverability
by: Song, Jiahui, et al.
Published: (2026)

HSRMamba: Efficient Wavelet Stripe State Space Model for Hyperspectral Image Super-Resolution
by: Li, Baisong, et al.
Published: (2025)

DACN: Dual-Attention Convolutional Network for Hyperspectral Image Super-Resolution
by: Muhammad, Usman, et al.
Published: (2025)

HyperBench: Standardizing and Scaling Synthetic Evaluation for Hyperspectral Super-Resolution
by: Shah, Ritik, et al.
Published: (2026)

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

Deep unfolding Network for Hyperspectral Image Super-Resolution with Automatic Exposure Correction
by: Fang, Yuan, et al.
Published: (2024)

Unsupervised Hyperspectral Image Super-Resolution via Self-Supervised Modality Decoupling
by: Du, Songcheng, et al.
Published: (2024)

Towards Lightweight Hyperspectral Image Super-Resolution with Depthwise Separable Dilated Convolutional Network
by: Muhammad, Usman, et al.
Published: (2025)

SpectraLift: Physics-Guided Spectral-Inversion Network for Self-Supervised Hyperspectral Image Super-Resolution
by: Shah, Ritik, et al.
Published: (2025)

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

Efficient Feedback Gate Network for Hyperspectral Image Super-Resolution
by: Wang, Xufei, et al.
Published: (2025)

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

GuideSR: Rethinking Guidance for One-Step High-Fidelity Diffusion-Based Super-Resolution
by: Arora, Aditya, et al.
Published: (2025)

Test-time Cost-and-Quality Controllable Arbitrary-Scale Super-Resolution with Variable Fourier Components
by: Akita, Kazutoshi, et al.
Published: (2024)

Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding
by: Jin, Zhenyu, et al.
Published: (2025)

Mamba-based Light Field Super-Resolution with Efficient Subspace Scanning
by: Gao, Ruisheng, et al.
Published: (2024)

Building Bridges across Spatial and Temporal Resolutions: Reference-Based Super-Resolution via Change Priors and Conditional Diffusion Model
by: Dong, Runmin, et al.
Published: (2024)

Taming Stable Diffusion for Computed Tomography Blind Super-Resolution
by: Li, Chunlei, et al.
Published: (2025)

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

Geometric Distortion Guided Transformer for Omnidirectional Image Super-Resolution
by: Yang, Cuixin, et al.
Published: (2024)

SuperFormer: Volumetric Transformer Architectures for MRI Super-Resolution
by: Forigua, Cristhian, et al.
Published: (2024)

SCALES: Boost Binary Neural Network for Image Super-Resolution with Efficient Scalings
by: Wei, Renjie, et al.
Published: (2023)

PCMamba: Physics-Informed Cross-Modal State Space Model for Dual-Camera Compressive Hyperspectral Imaging
by: Meng, Ge, et al.
Published: (2025)

Uncertainty-guided Perturbation for Image Super-Resolution Diffusion Model
by: Zhang, Leheng, et al.
Published: (2025)

Deep Model-Based Super-Resolution with Non-uniform Blur
by: Laroche, Charles, et al.
Published: (2022)

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

Thinking in Granularity: Dynamic Quantization for Image Super-Resolution by Intriguing Multi-Granularity Clues
by: Wang, Mingshen, et al.
Published: (2024)

Super Efficient Neural Network for Compression Artifacts Reduction and Super Resolution
by: Ma, Wen, et al.
Published: (2024)

HSIGene: A Foundation Model For Hyperspectral Image Generation
by: Pang, Li, et al.
Published: (2024)

Blind Super-Resolution via Meta-learning and Markov Chain Monte Carlo Simulation
by: Xia, Jingyuan, et al.
Published: (2024)

Physical Degradation Model-Guided Interferometric Hyperspectral Reconstruction with Unfolding Transformer
by: Li, Yuansheng, et al.
Published: (2025)

MFSR-GAN: Multi-Frame Super-Resolution with Handheld Motion Modeling
by: Khan, Fadeel Sher, et al.
Published: (2025)

Improving the Stability and Efficiency of Diffusion Models for Content Consistent Super-Resolution
by: Sun, Lingchen, et al.
Published: (2023)