SpectraMorph: Structured Latent Learning for Self-Supervised Hyperspectral Super-Resolution
Fuente:
arXiv
Saved in:
| Main Authors: | Shah, Ritik, Duarte, Marco F |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SpectraLift: Physics-Guided Spectral-Inversion Network for Self-Supervised Hyperspectral Image Super-Resolution
by: Shah, Ritik, et al.
Published: (2025)
by: Shah, Ritik, et al.
Published: (2025)
HyperBench: Standardizing and Scaling Synthetic Evaluation for Hyperspectral Super-Resolution
by: Shah, Ritik, et al.
Published: (2026)
by: Shah, Ritik, et al.
Published: (2026)
Self-Supervised Super-Resolution for Sentinel-5P Hyperspectral Images
by: Ali, Hyam Omar, et al.
Published: (2026)
by: Ali, Hyam Omar, et al.
Published: (2026)
Unsupervised Hyperspectral Image Super-Resolution via Self-Supervised Modality Decoupling
by: Du, Songcheng, et al.
Published: (2024)
by: Du, Songcheng, et al.
Published: (2024)
MorphAny3D: Unleashing the Power of Structured Latent in 3D Morphing
by: Sun, Xiaokun, et al.
Published: (2026)
by: Sun, Xiaokun, et al.
Published: (2026)
Self-Supervised Weighted Image Guided Quantitative MRI Super-Resolution
by: Samadifardheris, Alireza, et al.
Published: (2025)
by: Samadifardheris, Alireza, et al.
Published: (2025)
Self-Supervised Learning for Real-World Super-Resolution from Dual and Multiple Zoomed Observations
by: Zhang, Zhilu, et al.
Published: (2024)
by: Zhang, Zhilu, et al.
Published: (2024)
SelfMAD: Enhancing Generalization and Robustness in Morphing Attack Detection via Self-Supervised Learning
by: Ivanovska, Marija, et al.
Published: (2025)
by: Ivanovska, Marija, et al.
Published: (2025)
A Fusion-Guided Inception Network for Hyperspectral Image Super-Resolution
by: Muhammad, Usman, et al.
Published: (2025)
by: Muhammad, Usman, et al.
Published: (2025)
Enhancing Unregistered Hyperspectral Image Super-Resolution via Unmixing-based Abundance Fusion Learning
by: Zhang, Yingkai, et al.
Published: (2026)
by: Zhang, Yingkai, et al.
Published: (2026)
Self-Supervised Uncertainty Estimation For Super-Resolution of Satellite Images
by: Zheng, Zhe, et al.
Published: (2026)
by: Zheng, Zhe, et al.
Published: (2026)
Unaligned RGB Guided Hyperspectral Image Super-Resolution with Spatial-Spectral Concordance
by: Zhang, Yingkai, et al.
Published: (2025)
by: Zhang, Yingkai, et al.
Published: (2025)
A Dual-Domain Convolutional Network for Hyperspectral Single-Image Super-Resolution
by: Karayaka, Murat, et al.
Published: (2025)
by: Karayaka, Murat, et al.
Published: (2025)
Exploiting Self-Supervised Constraints in Image Super-Resolution
by: Wu, Gang, et al.
Published: (2024)
by: Wu, Gang, et al.
Published: (2024)
Spectral-Spatial Self-Supervised Learning for Few-Shot Hyperspectral Image Classification
by: Chen, Wenchen, et al.
Published: (2025)
by: Chen, Wenchen, et al.
Published: (2025)
Enhanced Self-Supervised Multi-Image Super-Resolution for Camera Array Images
by: Chen, Yating, et al.
Published: (2026)
by: Chen, Yating, et al.
Published: (2026)
Latent Space Super-Resolution for Higher-Resolution Image Generation with Diffusion Models
by: Jeong, Jinho, et al.
Published: (2025)
by: Jeong, Jinho, et al.
Published: (2025)
Scale-Equivariant Imaging: Self-Supervised Learning for Image Super-Resolution and Deblurring
by: Scanvic, Jérémy, et al.
Published: (2023)
by: Scanvic, Jérémy, et al.
Published: (2023)
Hybrid Deep Learning for Hyperspectral Single Image Super-Resolution
by: Muhammad, Usman, et al.
Published: (2025)
by: Muhammad, Usman, et al.
Published: (2025)
Robust Self-Supervised Cross-Modal Super-Resolution against Real-World Misaligned Observations
by: Dong, Xiaoyu, et al.
Published: (2026)
by: Dong, Xiaoyu, et al.
Published: (2026)
SRL-MAD: Structured Residual Latents for One-Class Morphing Attack Detection
by: Paulo, Diogo J., et al.
Published: (2026)
by: Paulo, Diogo J., et al.
Published: (2026)
HSR-KAN: Efficient Hyperspectral Image Super-Resolution via Kolmogorov-Arnold Networks
by: Li, Baisong, et al.
Published: (2024)
by: Li, Baisong, et al.
Published: (2024)
High-Resolution Be Aware! Improving the Self-Supervised Real-World Super-Resolution
by: Zhang, Yuehan, et al.
Published: (2024)
by: Zhang, Yuehan, et al.
Published: (2024)
Self-STORM: Deep Unrolled Self-Supervised Learning for Super-Resolution Microscopy
by: Sahel, Yair Ben, et al.
Published: (2024)
by: Sahel, Yair Ben, et al.
Published: (2024)
Low-Res Leads the Way: Improving Generalization for Super-Resolution by Self-Supervised Learning
by: Chen, Haoyu, et al.
Published: (2024)
by: Chen, Haoyu, et al.
Published: (2024)
GraphMorph: Tubular Structure Extraction by Morphing Predicted Graphs
by: Zhang, Zhao, et al.
Published: (2025)
by: Zhang, Zhao, et al.
Published: (2025)
Faster, Self-Supervised Super-Resolution for Anisotropic Multi-View MRI Using a Sparse Coordinate Loss
by: Schlereth, Maja, et al.
Published: (2025)
by: Schlereth, Maja, et al.
Published: (2025)
Decoupling Multi-Contrast Super-Resolution: Self-Supervised Implicit Re-Representation for Unpaired Cross-Modal Synthesis
by: Wu, Yinzhe, et al.
Published: (2025)
by: Wu, Yinzhe, et al.
Published: (2025)
Onboard Hyperspectral Super-Resolution with Deep Pushbroom Neural Network
by: Piccinini, Davide, et al.
Published: (2025)
by: Piccinini, Davide, et al.
Published: (2025)
A Spectral Diffusion Prior for Hyperspectral Image Super-Resolution
by: Liu, Jianjun, et al.
Published: (2023)
by: Liu, Jianjun, et al.
Published: (2023)
Spectral Dynamic Attention Network for Hyperspectral Image Super-Resolution
by: Zhang, Tengya, et al.
Published: (2026)
by: Zhang, Tengya, et al.
Published: (2026)
Self-Supervised Learning with a Multi-Task Latent Space Objective
by: De Plaen, Pierre-François, et al.
Published: (2026)
by: De Plaen, Pierre-François, et al.
Published: (2026)
SuperEIO: Self-Supervised Event Feature Learning for Event Inertial Odometry
by: Chen, Peiyu, et al.
Published: (2025)
by: Chen, Peiyu, et al.
Published: (2025)
SimpleGVR: A Simple Baseline for Latent-Cascaded Video Super-Resolution
by: Xie, Liangbin, et al.
Published: (2025)
by: Xie, Liangbin, et al.
Published: (2025)
Hyperspectral Super-Resolution with Inter-Image Variability via Degradation-based Low-Rank and Residual Fusion Method
by: Wen, Yue, et al.
Published: (2025)
by: Wen, Yue, et al.
Published: (2025)
SR$^{2}$-Net: A General Plug-and-Play Model for Spectral Refinement in Hyperspectral Image Super-Resolution
by: He, Ji-Xuan, et al.
Published: (2026)
by: He, Ji-Xuan, et al.
Published: (2026)
FlowMorph: Physics-Consistent Self-Supervision for Label-Free Single-Cell Mechanics in Microfluidic Videos
by: Yimenicioglu, Bora, et al.
Published: (2026)
by: Yimenicioglu, Bora, et al.
Published: (2026)
Show, Don't Tell: Morphing Latent Reasoning into Image Generation
by: Chen, Harold Haodong, et al.
Published: (2026)
by: Chen, Harold Haodong, et al.
Published: (2026)
DACN: Dual-Attention Convolutional Network for Hyperspectral Image Super-Resolution
by: Muhammad, Usman, et al.
Published: (2025)
by: Muhammad, Usman, et al.
Published: (2025)
Hyperspectral Anomaly Detection with Self-Supervised Anomaly Prior
by: Liu, Yidan, et al.
Published: (2024)
by: Liu, Yidan, et al.
Published: (2024)
Similar Items
-
SpectraLift: Physics-Guided Spectral-Inversion Network for Self-Supervised Hyperspectral Image Super-Resolution
by: Shah, Ritik, et al.
Published: (2025) -
HyperBench: Standardizing and Scaling Synthetic Evaluation for Hyperspectral Super-Resolution
by: Shah, Ritik, et al.
Published: (2026) -
Self-Supervised Super-Resolution for Sentinel-5P Hyperspectral Images
by: Ali, Hyam Omar, et al.
Published: (2026) -
Unsupervised Hyperspectral Image Super-Resolution via Self-Supervised Modality Decoupling
by: Du, Songcheng, et al.
Published: (2024) -
MorphAny3D: Unleashing the Power of Structured Latent in 3D Morphing
by: Sun, Xiaokun, et al.
Published: (2026)