Cover Image

Textural-Perceptual Joint Learning for No-Reference Super-Resolution Image Quality Assessment

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Yuqing, Jia, Qi, Wang, Shanshe, Ma, Siwei, Gao, Wen
Format:	Preprint
Published:	2022
Subjects:	Image and Video Processing Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Hierarchical Similarity Learning for Aliasing Suppression Image Super-Resolution
by: Liu, Yuqing, et al.
Published: (2022)

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

Learning Weighting Map for Bit-Depth Expansion within a Rational Range
by: Liu, Yuqing, et al.
Published: (2022)

Can No-Reference Quality-Assessment Methods Serve as Perceptual Losses for Super-Resolution?
by: Kashkarov, Egor, et al.
Published: (2024)

Exploring Semantic Feature Discrimination for Perceptual Image Super-Resolution and Opinion-Unaware No-Reference Image Quality Assessment
by: Dong, Guanglu, et al.
Published: (2025)

Perceptual Quality Optimization of Image Super-Resolution
by: Zhou, Wei, et al.
Published: (2026)

Perception- and Fidelity-aware Reduced-Reference Super-Resolution Image Quality Assessment
by: Lin, Xinying, et al.
Published: (2024)

Auto-Encoded Supervision for Perceptual Image Super-Resolution
by: Lee, MinKyu, et al.
Published: (2024)

A Joint Visual Compression and Perception Framework for Neuralmorphic Spiking Camera
by: Feng, Kexiang, et al.
Published: (2025)

Perceptual Quality Assessment of Virtual Reality Videos in the Wild
by: Wen, Wen, et al.
Published: (2022)

Texture and Noise Dual Adaptation for Infrared Image Super-Resolution
by: Huang, Yongsong, et al.
Published: (2023)

DPC-QA Net: A No-Reference Dual-Stream Perceptual and Cellular Quality Assessment Network for Histopathology Images
by: Yang, Qijun, et al.
Published: (2025)

Perceptual-Distortion Balanced Image Super-Resolution is a Multi-Objective Optimization Problem
by: Zhu, Qiwen, et al.
Published: (2024)

Perceptual Quality Assessment of Trisoup-Lifting Encoded 3D Point Clouds
by: Long, Juncheng, et al.
Published: (2024)

Perceptual Assessment and Optimization of HDR Image Rendering
by: Cao, Peibei, et al.
Published: (2023)

Blind Super Resolution with Reference Images and Implicit Degradation Representation
by: Do, Huu-Phu, et al.
Published: (2025)

High-Resolution Reference Image Assisted Volumetric Super-Resolution of Cardiac Diffusion Weighted Imaging
by: Wu, Yinzhe, et al.
Published: (2023)

AIGCOIQA2024: Perceptual Quality Assessment of AI Generated Omnidirectional Images
by: Yang, Liu, et al.
Published: (2024)

Vision-Language Models vs Human: Perceptual Image Quality Assessment
by: Mehmood, Imran, et al.
Published: (2026)

Fine-grained Image Quality Assessment for Perceptual Image Restoration
by: Sheng, Xiangfei, et al.
Published: (2025)

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

Perceptual Depth Quality Assessment of Stereoscopic Omnidirectional Images
by: Zhou, Wei, et al.
Published: (2024)

PIGUIQA: A Physical Imaging Guided Perceptual Framework for Underwater Image Quality Assessment
by: Xian, Weizhi, et al.
Published: (2024)

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

VQualA 2025 Challenge on Image Super-Resolution Generated Content Quality Assessment: Methods and Results
by: Li, Yixiao, et al.
Published: (2025)

Perceptual Constancy Constrained Single Opinion Score Calibration for Image Quality Assessment
by: Wang, Lei, et al.
Published: (2024)

Dual-domain Modulation Network for Lightweight Image Super-Resolution
by: Li, Wenjie, et al.
Published: (2025)

Multitask Auxiliary Network for Perceptual Quality Assessment of Non-Uniformly Distorted Omnidirectional Images
by: Yan, Jiebin, et al.
Published: (2025)

Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment
by: Li, Yixiao, et al.
Published: (2025)

Compressed Domain Prior-Guided Video Super-Resolution for Cloud Gaming Content
by: Wang, Qizhe, et al.
Published: (2025)

BadRefSR: Backdoor Attacks Against Reference-based Image Super Resolution
by: Yang, Xue, et al.
Published: (2025)

Image Quality Assessment: Enhancing Perceptual Exploration and Interpretation with Collaborative Feature Refinement and Hausdorff distance
by: Wei, Xuekai, et al.
Published: (2024)

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

THQA: A Perceptual Quality Assessment Database for Talking Heads
by: Zhou, Yingjie, et al.
Published: (2024)

DSMix: Distortion-Induced Sensitivity Map Based Pre-training for No-Reference Image Quality Assessment
by: Shi, Jinsong, et al.
Published: (2024)

AIM 2024 Challenge on Video Super-Resolution Quality Assessment: Methods and Results
by: Molodetskikh, Ivan, et al.
Published: (2024)

Learning the Degradation Distribution for Blind Image Super-Resolution
by: Luo, Zhengxiong, et al.
Published: (2022)

A Systematic Survey of Deep Learning-based Single-Image Super-Resolution
by: Li, Juncheng, et al.
Published: (2021)

Histo-Diffusion: A Diffusion Super-Resolution Method for Digital Pathology with Comprehensive Quality Assessment
by: Xu, Xuan, et al.
Published: (2024)

Perceptual Video Quality Assessment: A Survey
by: Min, Xiongkuo, et al.
Published: (2024)