Undertrained Image Reconstruction for Realistic Degradation in Blind Image Super-Resolution
Fuente:
arXiv
Guardado en:
| Autores principales: | Ito, Ru, Viriyavisuthisakul, Supatta, Kawamoto, Kazuhiko, Kera, Hiroshi |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Learning the Degradation Distribution for Blind Image Super-Resolution
por: Luo, Zhengxiong, et al.
Publicado: (2022)
por: Luo, Zhengxiong, et al.
Publicado: (2022)
Joint Learning of Blind Super-Resolution and Crack Segmentation for Realistic Degraded Images
por: Kondo, Yuki, et al.
Publicado: (2023)
por: Kondo, Yuki, et al.
Publicado: (2023)
Blind Super Resolution with Reference Images and Implicit Degradation Representation
por: Do, Huu-Phu, et al.
Publicado: (2025)
por: Do, Huu-Phu, et al.
Publicado: (2025)
CDFormer:When Degradation Prediction Embraces Diffusion Model for Blind Image Super-Resolution
por: Liu, Qingguo, et al.
Publicado: (2024)
por: Liu, Qingguo, et al.
Publicado: (2024)
Content-decoupled Contrastive Learning-based Implicit Degradation Modeling for Blind Image Super-Resolution
por: Yuan, Jiang, et al.
Publicado: (2024)
por: Yuan, Jiang, et al.
Publicado: (2024)
Unsupervised Image Super-Resolution Reconstruction Based on Real-World Degradation Patterns
por: Tie, Yiyang, et al.
Publicado: (2025)
por: Tie, Yiyang, et al.
Publicado: (2025)
Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations
por: Wen, Weilei, et al.
Publicado: (2025)
por: Wen, Weilei, et al.
Publicado: (2025)
Boosting Diffusion Guidance via Learning Degradation-Aware Models for Blind Super Resolution
por: Lu, Shao-Hao, et al.
Publicado: (2025)
por: Lu, Shao-Hao, et al.
Publicado: (2025)
Learning Correction Errors via Frequency-Self Attention for Blind Image Super-Resolution
por: Sun, Haochen, et al.
Publicado: (2024)
por: Sun, Haochen, et al.
Publicado: (2024)
SCALES: Boost Binary Neural Network for Image Super-Resolution with Efficient Scalings
por: Wei, Renjie, et al.
Publicado: (2023)
por: Wei, Renjie, et al.
Publicado: (2023)
LightBSR: Towards Lightweight Blind Super-Resolution via Discriminative Implicit Degradation Representation Learning
por: Yuan, Jiang, et al.
Publicado: (2025)
por: Yuan, Jiang, et al.
Publicado: (2025)
Research on Image Super-Resolution Reconstruction Mechanism based on Convolutional Neural Network
por: Yan, Hao, et al.
Publicado: (2024)
por: Yan, Hao, et al.
Publicado: (2024)
CDI: Blind Image Restoration Fidelity Evaluation based on Consistency with Degraded Image
por: Tang, Xiaojun, et al.
Publicado: (2025)
por: Tang, Xiaojun, et al.
Publicado: (2025)
Iterative Network for Image Super-Resolution
por: Liu, Yuqing, et al.
Publicado: (2020)
por: Liu, Yuqing, et al.
Publicado: (2020)
Adaptive Multi-modal Fusion of Spatially Variant Kernel Refinement with Diffusion Model for Blind Image Super-Resolution
por: Lin, Junxiong, et al.
Publicado: (2024)
por: Lin, Junxiong, et al.
Publicado: (2024)
Towards Realistic Data Generation for Real-World Super-Resolution
por: Peng, Long, et al.
Publicado: (2024)
por: Peng, Long, et al.
Publicado: (2024)
Image Super-Resolution Using T-Tetromino Pixels
por: Grosche, Simon, et al.
Publicado: (2021)
por: Grosche, Simon, et al.
Publicado: (2021)
High-Resolution Reference Image Assisted Volumetric Super-Resolution of Cardiac Diffusion Weighted Imaging
por: Wu, Yinzhe, et al.
Publicado: (2023)
por: Wu, Yinzhe, et al.
Publicado: (2023)
Taming Stable Diffusion for Computed Tomography Blind Super-Resolution
por: Li, Chunlei, et al.
Publicado: (2025)
por: Li, Chunlei, et al.
Publicado: (2025)
Hipandas: Hyperspectral Image Joint Denoising and Super-Resolution by Image Fusion with the Panchromatic Image
por: Xu, Shuang, et al.
Publicado: (2024)
por: Xu, Shuang, et al.
Publicado: (2024)
PIDSR: Complementary Polarized Image Demosaicing and Super-Resolution
por: Zhou, Shuangfan, et al.
Publicado: (2025)
por: Zhou, Shuangfan, et al.
Publicado: (2025)
A Wavelet Diffusion GAN for Image Super-Resolution
por: Aloisi, Lorenzo, et al.
Publicado: (2024)
por: Aloisi, Lorenzo, et al.
Publicado: (2024)
Exploiting Self-Supervised Constraints in Image Super-Resolution
por: Wu, Gang, et al.
Publicado: (2024)
por: Wu, Gang, et al.
Publicado: (2024)
Does Diffusion Beat GAN in Image Super Resolution?
por: Kuznedelev, Denis, et al.
Publicado: (2024)
por: Kuznedelev, Denis, et al.
Publicado: (2024)
Auto-Encoded Supervision for Perceptual Image Super-Resolution
por: Lee, MinKyu, et al.
Publicado: (2024)
por: Lee, MinKyu, et al.
Publicado: (2024)
Scale-Equivariant Imaging: Self-Supervised Learning for Image Super-Resolution and Deblurring
por: Scanvic, Jérémy, et al.
Publicado: (2023)
por: Scanvic, Jérémy, et al.
Publicado: (2023)
PixelBoost: Leveraging Brownian Motion for Realistic-Image Super-Resolution
por: Mishra, Aradhana, et al.
Publicado: (2025)
por: Mishra, Aradhana, et al.
Publicado: (2025)
Dual-domain Modulation Network for Lightweight Image Super-Resolution
por: Li, Wenjie, et al.
Publicado: (2025)
por: Li, Wenjie, et al.
Publicado: (2025)
NTIRE 2025 Challenge on RAW Image Restoration and Super-Resolution
por: Conde, Marcos V., et al.
Publicado: (2025)
por: Conde, Marcos V., et al.
Publicado: (2025)
Uncertainty-guided Perturbation for Image Super-Resolution Diffusion Model
por: Zhang, Leheng, et al.
Publicado: (2025)
por: Zhang, Leheng, et al.
Publicado: (2025)
Structural Similarity-Inspired Unfolding for Lightweight Image Super-Resolution
por: Ni, Zhangkai, et al.
Publicado: (2025)
por: Ni, Zhangkai, et al.
Publicado: (2025)
Heterogeneous Mixture of Experts for Remote Sensing Image Super-Resolution
por: Chen, Bowen, et al.
Publicado: (2025)
por: Chen, Bowen, et al.
Publicado: (2025)
Large Kernel Modulation Network for Efficient Image Super-Resolution
por: Hu, Quanwei, et al.
Publicado: (2025)
por: Hu, Quanwei, et al.
Publicado: (2025)
Overcoming Distribution Mismatch in Quantizing Image Super-Resolution Networks
por: Hong, Cheeun, et al.
Publicado: (2023)
por: Hong, Cheeun, et al.
Publicado: (2023)
Hierarchical Similarity Learning for Aliasing Suppression Image Super-Resolution
por: Liu, Yuqing, et al.
Publicado: (2022)
por: Liu, Yuqing, et al.
Publicado: (2022)
Texture and Noise Dual Adaptation for Infrared Image Super-Resolution
por: Huang, Yongsong, et al.
Publicado: (2023)
por: Huang, Yongsong, et al.
Publicado: (2023)
Multi-scale Attention Network for Single Image Super-Resolution
por: Wang, Yan, et al.
Publicado: (2022)
por: Wang, Yan, et al.
Publicado: (2022)
SeD: Semantic-Aware Discriminator for Image Super-Resolution
por: Li, Bingchen, et al.
Publicado: (2024)
por: Li, Bingchen, et al.
Publicado: (2024)
FIPER: Factorized Features for Robust Image Super-Resolution and Compression
por: Sun, Yang-Che, et al.
Publicado: (2024)
por: Sun, Yang-Che, et al.
Publicado: (2024)
Adversarial Diffusion Compression for Real-World Image Super-Resolution
por: Chen, Bin, et al.
Publicado: (2024)
por: Chen, Bin, et al.
Publicado: (2024)
Ejemplares similares
-
Learning the Degradation Distribution for Blind Image Super-Resolution
por: Luo, Zhengxiong, et al.
Publicado: (2022) -
Joint Learning of Blind Super-Resolution and Crack Segmentation for Realistic Degraded Images
por: Kondo, Yuki, et al.
Publicado: (2023) -
Blind Super Resolution with Reference Images and Implicit Degradation Representation
por: Do, Huu-Phu, et al.
Publicado: (2025) -
CDFormer:When Degradation Prediction Embraces Diffusion Model for Blind Image Super-Resolution
por: Liu, Qingguo, et al.
Publicado: (2024) -
Content-decoupled Contrastive Learning-based Implicit Degradation Modeling for Blind Image Super-Resolution
por: Yuan, Jiang, et al.
Publicado: (2024)