Low-Complexity Patch-Based No-Reference Point Cloud Quality Metric Exploiting Weighted Structure and Texture Features

2025/03/31 by Michael Neri, Federica Battisti

paper · doi:10.1109/tbc.2025.3553305

crossref created 2025/04/03 · crossref issued 2025/06/01 · crossref published 2025/06/01 · crossref published-print 2025/06/01 · crossref deposited 2025/06/10 · crossref indexed 2026/07/30

Citations

• Zoom to Perceive Better: No-Reference Point Cloud Quality Assessment via Exploring Effective Multiscale Feature
• Plain-PCQA: No-Reference Point Cloud Quality Assessment by Analysis of Plain Visual and Geometrical Components
• MFE-Net: A Multi-Layer Feature Extraction Network for No-Reference Quality Assessment of 3-D Point Clouds
• EEP-3DQA: Efficient and Effective Projection-based 3D Model Quality Assessment
• Reduced Reference Quality Assessment for Point Cloud Compression
• GPA-Net:No-Reference Point Cloud Quality Assessment with Multi-task Graph Convolutional Network
• TCDM: Transformational Complexity Based Distortion Metric for Perceptual Point Cloud Quality Assessment
• MM-PCQA: Multi-Modal Learning for No-reference Point Cloud Quality Assessment
• Evaluating Point Cloud from Moving Camera Videos: A No-Reference Metric
• No-Reference Point Cloud Quality Assessment via Domain Adaptation
• Perceptual Quality Assessment of Colored 3D Point Clouds
• PQA-Net: Deep No Reference Point Cloud Quality Assessment via Multi-View Projection
• No-Reference Quality Assessment for 3D Colored Point Cloud and Mesh Models
• MPED: Quantifying Point Cloud Distortion based on Multiscale Potential Energy Discrepancy
• Understanding deep learning (still) requires rethinking generalization
• Point Cloud Quality Assessment: Dataset Construction and Learning-based No-Reference Metric
• PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
• Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)
• Making a “Completely Blind” Image Quality Analyzer
• No-Reference Image Quality Assessment in the Spatial Domain
• Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
• Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
• Nearest neighbor pattern classification