Image Quality Assessment Paper Reading

Conference

arXiv

• VTAMIQ: Transformers for Attention Modulated Image Quality Assessment

AAAI

• Perceptual Quality Assessment of Omnidirectional Images
• Content-Variant Reference Image Quality Assessment via Knowledge Distillation

ACM Multimedia

• Locally Adaptive Structure and Texture Similarity for Image Quality Assessment
• Towards A No-reference Omnidirectional Image Quality Evaluation By Using Multi-perceptual Features

CVPR

• MANIQA: Multi-Dimension Attention Network for No-Reference Image Quality Assessment
• Incorporating Semi-Supervised and Positive-Unlabeled Learning for Boosting Full Reference Image Quality Assessment
• Perceptual Image Quality Assessment With Transformers
• NTIRE 2021 Challenge on Perceptual Image Quality Assessment
• Image Quality Assessment Based on Ensemble of Gradient Boosting
• Region-Adaptive Deformable Network for Image Quality Assessment
• IQMA Network: Image Quality Multi-Scale Assessment Network
• Deep Learning-based Distortion Sensitivity Prediction for Full-Reference Image Quality Assessment
• Assessing Image Quality Issues for Real-World Problems
• Blindly Assess Image Quality in the Wild Guided by a Self-Adaptive Hyper Network
• Perceptual Quality Assessment of Smartphone Photography
• MetaIQA: Deep Meta-Learning for No-Reference Image Quality Assessment
• Adaptive Fractional Dilated Convolution Network for Image Aesthetics Assessment
• Troubleshooting Blind Image Quality Models in the Wild

ICCV

• MUSIQ: Multi-Scale Image Quality Transformer
• Learning Conditional Knowledge Distillation for Degraded-Reference Image Quality Assessment
• CNN-Based Cross-Dataset No-Reference Image Quality Assessment

ECCV

• PIPAL: A Large-Scale Image Quality Assessment Dataset for Perceptual Image Restoration
• GIQA: Generated Image Quality Assessment

ISCAS

• MC360IQA: THE MULTI-CHANNEL CNN FOR BLIND 360-DEGREE IMAGE QUALITY ASSESSMENT

ICIP

• CVIQD: Subjective quality evaluation of compressed virtual reality images
• PERCEPTUALLY-WEIGHTED CNN FOR 360-DEGREE IMAGE QUALITY ASSESSMENT USING VISUAL SCAN-PATH AND JND

ICME

• Spatial Attention-Based Non-Reference Perceptual Quality Prediction Network for Omnidirectional Images

Journal

TPAMI

• Continual Learning for Blind Image Quality Assessment
• Image Quality Assessment: Unifying Structure and Texture Similarity

TIP

• Uncertainty-Aware Blind Image Quality Assessment in the Laboratory and Wild

IJCV

• Comparison of Full-Reference Image Quality Models for Optimization of Image Processing Systems

TVCG

• Perceptual Quality Assessment of Omnidirectional Images as Moving Camera Videos

TMM

• Learning-Based Quality Assessment for Image Super-Resolution

TCSVT

• No-Reference Quality Assessment for 360-degree Images by Analysis of Multi-frequency Information and Local-global Naturalness
• Blind Omnidirectional Image Quality Assessment With Viewport Oriented Graph Convolutional NetworksJiah
• Multi-Angle Projection Based Blind Omnidirectional Image Quality Assessment

APPLIED INTELLIGENCE

• A feature‑level full‑reference image denoising quality assessment method based on joint sparse representation

DIGITAL SIGNAL PROCESSING

• Dual-quality map based no reference image quality assessment using deformable convolution

IET Image Processing

• CPDINet: Blind image quality assessment via a content perception and distortion inference network

Neurocomputing

• Blind image quality assessment based on progressive multi-task learning