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Collections of papers, databases, and codes targeted at point cloud quality assessment (PCQA), mesh quality assessment (MQA), 3D model quality assessment (3DQA).

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zzc-1998/Point-cloud-quality-assessment

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If you want to add PCQA papers and codes to this list, feel free to start a pull request.

We are happy to see your contribution!

Overview of the databases

DatabaseFormatAttributesRated Models
M-PCCDPoint cloudColored232
IRPCPoint cloudColorless & Colored54 & 54
WPCPoint cloudColored740
WPC2.0Point cloudColored400
WPC3.0Point cloudColored350
ICIP2020Point cloudColored96
SJTU-PCQAPoint cloudColored378
SIAT-PCQDPoint cloudColored340
LS-PCQAPoint cloudColored1,080
BASICSPoint cloudColored1,494
CMDMMeshColored480
TMQAMeshTextured3,000
Geo-MetricMeshGeometry Faces2,450
DHHQAMeshTextured human heads1,540
DDH-QAFBX/MP4Dynamic Digital Humans800
SJTU-H3DMeshFull-body Digital Humans1,120

PCQA databases

#Database NameTitle & LinkDatabase Link
1SJTU-PCQAPredicting the Perceptual Quality of Point Cloud: A 3D-to-2D Projection-Based ExplorationLink
2WPCPerceptual Quality Assessment of Colored 3D Point CloudsLink
3LS-PCQAPoint Cloud Quality Assessment: Dataset Construction and Learning-based No-Reference ApproachLink
4WPC2.0(Compression)Reduced Reference Perceptual Quality Model with Application to Rate Control for Video-based Point Cloud CompressionLink
5WPC3.0(Compression)No-reference Bitstream-layer Model for Perceptual Quality Assessment of V-PCC Encoded Point CloudsLink
6CPCD2.0(Compression & Noise)TGP-PCQA: Texture and geometry projection based quality assessment for colored point cloudsLink
7ICIP2020Quality Evaluation Of Static Point Clouds Encoded Using MPEG Codecs
8M-PCCDA comprehensive study of the rate-distortion performance in MPEG point cloud compression
9IRPCPoint Cloud Rendering after Coding : Impacts on Subjective and Objective Quality.
10SIAT-PCQDSubjective Quality Database and Objective Study of Compressed Point Clouds With 6DoF Head-Mounted DisplayLink
11vsenseVVDB (Volumetric Video Quality Database #1)Subjective and Objective Quality Assessment for Volumetric Video CompressionLink
12vsenseVVDB2 (Volumetric Video Quality Database #2)Textured mesh vs coloured point cloud: A subjective study for volumetric video compressionLink
13BASICSBASICS: Broad quality Assessment of Static point clouds In Compression Scenarios

MQA (mesh quality assessment) database

#Database NameTitle & LinkDatabase Link
1CMDMVisual Quality of 3D Meshes With Diffuse Colors in Virtual Reality: Subjective and Objective EvaluationLink
2TMQATextured Mesh Quality Assessment: Large-Scale Dataset and Deep Learning-based Quality MetricLink
3-Geo-Metric: A Perceptual Dataset of Distortions on Faceslink
4SJTU-TMQASJTU-TMQA: A quality assessment database for static mesh with texture maplink

Digital human quality assessment database

#Database NameTitle & LinkDatabase Link
1DHHQAPerceptual Quality Assessment for Digital Human HeadsLink
2DDH-QADDH-QA: A DYNAMIC DIGITAL HUMANS QUALITY ASSESSMENT DATABASELink
3SJTU-H3DAdvancing Zero-Shot Digital Human Quality Assessment through Text-Prompted EvaluationLink

👉 3DQA methods

Basic FR-PCQA

Basic full-reference quality assessment metrics implemented by Python.

I try to implement the p2point, p2plane, and PSNR_yuv withpython.The original algorithms come from"Evaluation criteria for PCC (Point Cloud Compression)","Dynamic Polygon Clouds: Representation and Compression for VR/AR", and"Geometric Distortion Metrics for Point Cloud Compression".

FR-PCQA metrics

#Metric NameTitle & LinkCode Link
1PointSSIM"Towards a Point Cloud Structural Similarity Metric"Code
2GraphSIM"Inferring Point Cloud Quality via Graph Similarity"Code
3PCQM"PCQM: A Full-Reference Quality Metric for Colored 3D Point Clouds"Code

RR-PCQA metrics

#Metric NameTitle & LinkCode Link
1PCMrr"A Reduced Reference Metric for Visual Quality Evaluation of Point Cloud Contents"Code
2-"Reduced Reference Quality Assessment for Point Cloud Compression"-
3-"Reduced-Reference Quality Assessment of Point Clouds via Content-Oriented Saliency Projection"Code
4-"Support Vector Regression-based Reduced-Reference Perceptual Quality Model for Compressed Point Clouds"

NR-PCQA metrics

#Metric NameTitle & LinkCode Link
13D-NSS"No-Reference Quality Assessment for 3D Colored Point Cloud and Mesh Models"[Arxiv]Code
2ResSCNN"Point Cloud Quality Assessment: Dataset Construction and Learning-based No-Reference Approach"Code
3IT-PCQA"No-Reference Point Cloud Quality Assessment via Domain Adaptation"Code
43D-CNN-PCQA"A No-reference Quality Assessment Metric for Point Cloud Based on Captured Video Sequences"-
5VQA-PC"Evaluating Point Cloud from Moving Camera Videos: A No-Reference Metric"Code
6-"Blind Quality Assessment of 3D Dense Point Clouds with Structure Guided Resampling"-
7MM-PCQA"MM-PCQA: Multi-Modal Learning for No-reference Point Cloud Quality Assessment"Code
8-"V-PCC Projection Based Blind Point Cloud Quality Assessment for Compression Distortion"-
9-"GPA-Net: No-Reference Point Cloud Quality Assessment with Multi-task Graph Convolutional Network"Code
10-"PQA-Net: Deep No Reference Point Cloud Quality Assessment via Multi-View Projection"Code
11-"Progressive Knowledge Transfer Based on Human Visual Perception Mechanism for Perceptual Quality Assessment of Point Clouds"-
12-"Bitstream-based Perceptual Quality Assessment of Compressed 3D Point Clouds"-
13-"GMS-3DQA: Projection-based Grid Mini-patch Sampling for 3D Model Quality Assessment"Code
14-"Once-Training-All-Fine: No-Reference Point Cloud Quality Assessment via Domain-relevance Degradation Description"-
15-"Pseudo-Reference Point Cloud Quality Measurement Based on Joint 2-D and 3-D Distortion Description"-
16-"pmBQA: Projection-based Blind Point Cloud Quality Assessment via Multimodal Learning"-
17-"Non-Local Geometry and Color Gradient Aggregation Graph Model for No-Reference Point Cloud Quality Assessment"-
18-"Simple Baselines for Projection-based Full-reference and No-reference Point Cloud Quality Assessment"-
19-"Plain-PCQA: No-Reference Point Cloud Quality Assessment by Analysis of Plain Visual and Geometrical Components"-
20-"Zoom to Perceive Better: No-reference Point Cloud Quality Assessment via Exploring Effective Multiscale Feature"Code
21-"PAME: SELF-SUPERVISED MASKED AUTOENCODER FOR NO-REFERENCE POINT CLOUD QUALITY ASSESSMENT"-
22-"Contrastive Pre-Training with Multi-View Fusion for No-Reference Point Cloud Quality Assessment"-
23-"MFT-PCQA: Multi-Modal Fusion Transformer for No-Reference Point Cloud Quality Assessment"-
24-"Rating-Augmented No-Reference Point Cloud Quality Assessment Using Multi-Task Learning"-
25-"3DTA: No-Reference 3D Point Cloud Quality Assessment with Twin Attention"Code
26-"Compressed Point Cloud Quality Index by Combining Global Appearance and Local Details"-
27-"Asynchronous Feedback Network for Perceptual Point Cloud Quality Assessment"Code
28-"TCDM: Transformational Complexity Based Distortion Metric for Perceptual Point Cloud Quality AssessmentCode
29ACM MM Best Paper Nomination"LMM-PCQA: Assisting Point Cloud Quality Assessment with LMM"Code
30-"LLM-guided Cross-Modal Point Cloud Quality Assessment: A Graph Learning Approach"-
31-"Visual-Saliency Guided Multi-modal Learning for No Reference Point Cloud Quality Assessment"-
32-"Perceptual Quality Assessment of Trisoup-Lifting Encoded 3D Point Clouds"-
33-"No-Reference Point Cloud Quality Assessment Through Structure Sampling and Clustering Based on Graph"-
34-"No-reference point cloud quality assessment via graph convolutional network"-
35-"CLIP-PCQA: Exploring Subjective-Aligned Vision-Language Modeling for Point Cloud Quality Assessment"-
36-"Information Exploration of Projected Views for Point Cloud Quality Measurement"-
37-"CMDC-PCQA: No-Reference Point Cloud Quality Assessment via a Cross-Modal Deep-Coupling Framework"-
38-"No-reference geometry quality assessment for colorless point clouds via list-wise rank learning"-
39-"Dynamic Hypergraph Convolutional Network for No-Reference Point Cloud Quality Assessment"Code

Mesh QA metrics

  1. "Surface-Sampling Based Objective Quality Assessment Metrics for Meshes"[ICASSP]

Contact Information

😎 If you want to make contributions, include your works, or simply make discussions, feel free to e-mail me atzzc1998@sjtu.edu.cn 😎

💖 If you find this collection helpful, please star this project! Thank you! 💖

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Collections of papers, databases, and codes targeted at point cloud quality assessment (PCQA), mesh quality assessment (MQA), 3D model quality assessment (3DQA).

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