Cover Image

Once-Training-All-Fine: No-Reference Point Cloud Quality Assessment via Domain-relevance Degradation Description

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Yipeng, Yang, Qi, Zhang, Yujie, Xu, Yiling, Yang, Le, Xu, Xiaozhong, Liu, Shan
Format:	Preprint
Published:	2023
Subjects:	Image and Video Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

From Images to Point Clouds: An Efficient Solution for Cross-media Blind Quality Assessment without Annotated Training
by: Liu, Yipeng, et al.
Published: (2025)

Perception-Guided Quality Metric of 3D Point Clouds Using Hybrid Strategy
by: Zhang, Yujie, et al.
Published: (2024)

Point Cloud Compression and Objective Quality Assessment: A Survey
by: Xu, Yiling, et al.
Published: (2025)

Differentiable Low-computation Global Correlation Loss for Monotonicity Evaluation in Quality Assessment
by: Liu, Yipeng, et al.
Published: (2025)

Full-reference Video Quality Assessment for User Generated Content Transcoding
by: Qi, Zihao, et al.
Published: (2023)

UPDA: Unsupervised Progressive Domain Adaptation for No-Reference Point Cloud Quality Assessment
by: Xie, Bingxu, et al.
Published: (2026)

Stochasticity-aware No-Reference Point Cloud Quality Assessment
by: Fan, Songlin, et al.
Published: (2024)

Contrastive Pre-Training with Multi-View Fusion for No-Reference Point Cloud Quality Assessment
by: Shan, Ziyu, et al.
Published: (2024)

A Mamba-based Perceptual Loss Function for Learning-based UGC Transcoding
by: Qi, Zihao, et al.
Published: (2026)

BVI-UGC: A Video Quality Database for User-Generated Content Transcoding
by: Qi, Zihao, et al.
Published: (2024)

Enhancing HDR Video Compression through CNN-based Effective Bit Depth Adaptation
by: Feng, Chen, et al.
Published: (2022)

J-SGFT: Joint Spatial and Graph Fourier Domain Learning for Point Cloud Attribute Deblocking
by: Talha, Muhammad, et al.
Published: (2025)

You Only Train Once: A Unified Framework for Both Full-Reference and No-Reference Image Quality Assessment
by: Yun, Yi Ke, et al.
Published: (2023)

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

No-Reference Point Cloud Quality Assessment via Graph Convolutional Network
by: Chen, Wu, et al.
Published: (2024)

Point Cloud Objective Quality: Benchmarking Features and Quality Evaluation
by: Prazeres, Joao, et al.
Published: (2025)

Breaking the Multi-Enhancement Bottleneck: Domain-Consistent Quality Enhancement for Compressed Images
by: Xing, Qunliang, et al.
Published: (2025)

3DGS-VBench: A Comprehensive Video Quality Evaluation Benchmark for 3DGS Compression
by: Xing, Yuke, et al.
Published: (2025)

TVMC: Time-Varying Mesh Compression via Multi-Stage Anchor Mesh Generation
by: Huang, He, et al.
Published: (2025)

Blind Quality Enhancement for G-PCC Compressed Dynamic Point Clouds
by: Guo, Tian, et al.
Published: (2026)

PAME: Self-Supervised Masked Autoencoder for No-Reference Point Cloud Quality Assessment
by: Shan, Ziyu, et al.
Published: (2024)

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

Solution for Authenticity Identification of Typical Target Remote Sensing Images
by: Lin, Yipeng, et al.
Published: (2024)

Textural-Perceptual Joint Learning for No-Reference Super-Resolution Image Quality Assessment
by: Liu, Yuqing, et al.
Published: (2022)

MS-ISSM: Objective Quality Assessment of Point Clouds Using Multi-scale Implicit Structural Similarity
by: Chen, Zhang, et al.
Published: (2026)

FineVQ: Fine-Grained User Generated Content Video Quality Assessment
by: Duan, Huiyu, et al.
Published: (2024)

Quality Analysis of the Coding Bitrate Tradeoff Between Geometry and Attributes for Colored Point Clouds
by: Prazeres, Joao, et al.
Published: (2024)

Exploring Vulnerabilities of No-Reference Image Quality Assessment Models: A Query-Based Black-Box Method
by: Yang, Chenxi, et al.
Published: (2024)

RBFIM: Perceptual Quality Assessment for Compressed Point Clouds Using Radial Basis Function Interpolation
by: Chen, Zhang, et al.
Published: (2025)

Beyond Score Changes: Adversarial Attack on No-Reference Image Quality Assessment from Two Perspectives
by: Yang, Chenxi, et al.
Published: (2024)

DeepNuParc: A Novel Deep Clustering Framework for Fine-scale Parcellation of Brain Nuclei Using Diffusion MRI Tractography
by: He, Haolin, et al.
Published: (2025)

HybridGS: High-Efficiency Gaussian Splatting Data Compression using Dual-Channel Sparse Representation and Point Cloud Encoder
by: Yang, Qi, et al.
Published: (2025)

Explicit-NeRF-QA: A Quality Assessment Database for Explicit NeRF Model Compression
by: Xing, Yuke, et al.
Published: (2024)

Transferable Learned Image Compression-Resistant Adversarial Perturbations
by: Sui, Yang, et al.
Published: (2024)

Subjective Quality Database and Objective Study of Compressed Point Clouds With 6DoF Head-Mounted Display
by: Wu, Xinju, et al.
Published: (2020)

Learning Disentangled Representations for Perceptual Point Cloud Quality Assessment via Mutual Information Minimization
by: Shan, Ziyu, et al.
Published: (2024)

A Point Cloud Enhancement Method for 4D mmWave Radar Imagery
by: Wan, Qingmian, et al.
Published: (2024)

Automatic Multi-Class Cardiovascular Magnetic Resonance Image Quality Assessment using Unsupervised Domain Adaptation in Spatial and Frequency Domains
by: Nabavi, Shahabedin, et al.
Published: (2021)

Reference-Free Image Quality Metric for Degradation and Reconstruction Artifacts
by: Cui, Han, et al.
Published: (2024)

MarsQE: Semantic-Informed Quality Enhancement for Compressed Martian Image
by: Liu, Chengfeng, et al.
Published: (2024)