PointQ-Bench: Benchmarking Diagnostic and Interpretable Point Cloud Quality Assessment
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Duanchu, Li, Cheng, Yang, Junjie, Huang, Jing, Cheng, Zihang, Gao, Zhi, ZhuBohong, Wang, Di |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
ForestHG-Trace: Traceable Long-Horizon Ecological Reasoning over Large-Scale Forest Scenes
by: Cheng, Zihang, et al.
Published: (2026)
by: Cheng, Zihang, et al.
Published: (2026)
On-the-fly Point Feature Representation for Point Clouds Analysis
by: Wang, Jiangyi, et al.
Published: (2024)
by: Wang, Jiangyi, et al.
Published: (2024)
DPCD: A Quality Assessment Database for Dynamic Point Clouds
by: Liu, Yating, et al.
Published: (2025)
by: Liu, Yating, et al.
Published: (2025)
Stochasticity-aware No-Reference Point Cloud Quality Assessment
by: Fan, Songlin, et al.
Published: (2024)
by: Fan, Songlin, et al.
Published: (2024)
Point Cloud Compression and Objective Quality Assessment: A Survey
by: Xu, Yiling, et al.
Published: (2025)
by: Xu, Yiling, et al.
Published: (2025)
Point2Primitive: CAD Reconstruction from Point Cloud by Direct Primitive Prediction
by: Ma, Xinzhu, et al.
Published: (2025)
by: Ma, Xinzhu, et al.
Published: (2025)
Source-Free Domain Adaptation for Geospatial Point Cloud Semantic Segmentation
by: Gao, Yuan, et al.
Published: (2026)
by: Gao, Yuan, et al.
Published: (2026)
Asynchronous Feedback Network for Perceptual Point Cloud Quality Assessment
by: Zhang, Yujie, et al.
Published: (2024)
by: Zhang, Yujie, et al.
Published: (2024)
Advancing the Understanding of Fine-Grained 3D Forest Structures using Digital Cousins and Simulation-to-Reality: Methods and Datasets
by: Liu, Jing, et al.
Published: (2025)
by: Liu, Jing, et al.
Published: (2025)
Perceptual Quality Assessment of Trisoup-Lifting Encoded 3D Point Clouds
by: Long, Juncheng, et al.
Published: (2024)
by: Long, Juncheng, et al.
Published: (2024)
CompetitorFormer: Competitor Transformer for 3D Instance Segmentation
by: Wang, Duanchu, et al.
Published: (2024)
by: Wang, Duanchu, et al.
Published: (2024)
PAME: Self-Supervised Masked Autoencoder for No-Reference Point Cloud Quality Assessment
by: Shan, Ziyu, et al.
Published: (2024)
by: Shan, Ziyu, et al.
Published: (2024)
OpenUrban3D: Annotation-Free Open-Vocabulary Semantic Segmentation of Large-Scale Urban Point Clouds
by: Wang, Chongyu, et al.
Published: (2025)
by: Wang, Chongyu, et al.
Published: (2025)
QD-PCQA: Quality-Aware Domain Adaptation for Point Cloud Quality Assessment
by: Zhang, Guohua, et al.
Published: (2026)
by: Zhang, Guohua, et al.
Published: (2026)
PointNCBW: Towards Dataset Ownership Verification for Point Clouds via Negative Clean-label Backdoor Watermark
by: Wei, Cheng, et al.
Published: (2024)
by: Wei, Cheng, et al.
Published: (2024)
PO3AD: Predicting Point Offsets toward Better 3D Point Cloud Anomaly Detection
by: Ye, Jianan, et al.
Published: (2024)
by: Ye, Jianan, et al.
Published: (2024)
LMM-PCQA: Assisting Point Cloud Quality Assessment with LMM
by: Zhang, Zicheng, et al.
Published: (2024)
by: Zhang, Zicheng, et al.
Published: (2024)
Building-PCC: Building Point Cloud Completion Benchmarks
by: Gao, Weixiao, et al.
Published: (2024)
by: Gao, Weixiao, et al.
Published: (2024)
Constraint-Aware Feature Learning for Parametric Point Cloud
by: Cheng, Xi, et al.
Published: (2024)
by: Cheng, Xi, et al.
Published: (2024)
DAPointMamba: Domain Adaptive Point Mamba for Point Cloud Completion
by: Li, Yinghui, et al.
Published: (2025)
by: Li, Yinghui, et al.
Published: (2025)
CLIP-based Point Cloud Classification via Point Cloud to Image Translation
by: Ghose, Shuvozit, et al.
Published: (2024)
by: Ghose, Shuvozit, et al.
Published: (2024)
Deep-PE: A Learning-Based Pose Evaluator for Point Cloud Registration
by: Gao, Junjie, et al.
Published: (2024)
by: Gao, Junjie, 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)
by: Shan, Ziyu, et al.
Published: (2024)
Point Tree Transformer for Point Cloud Registration
by: Wang, Meiling, et al.
Published: (2024)
by: Wang, Meiling, et al.
Published: (2024)
Training-Free Point Cloud Recognition Based on Geometric and Semantic Information Fusion
by: Chen, Yan, et al.
Published: (2024)
by: Chen, Yan, et al.
Published: (2024)
When 3D Partial Points Meets SAM: Tooth Point Cloud Segmentation with Sparse Labels
by: Liu, Yifan, et al.
Published: (2024)
by: Liu, Yifan, et al.
Published: (2024)
Incremental Multiview Point Cloud Registration
by: Cheng, Xiaoya, et al.
Published: (2024)
by: Cheng, Xiaoya, et al.
Published: (2024)
APCoTTA: Continual Test-Time Adaptation for Semantic Segmentation of Airborne LiDAR Point Clouds
by: Gao, Yuan, et al.
Published: (2025)
by: Gao, Yuan, et al.
Published: (2025)
VCapsBench: A Large-scale Fine-grained Benchmark for Video Caption Quality Evaluation
by: Zhang, Shi-Xue, et al.
Published: (2025)
by: Zhang, Shi-Xue, et al.
Published: (2025)
From Images to Point Clouds: An Efficient Solution for Cross-media Blind Quality Assessment without Annotated Training
by: Liu, Yipeng, et al.
Published: (2025)
by: Liu, Yipeng, et al.
Published: (2025)
GT-PCQA: Geometry-Texture Decoupled Point Cloud Quality Assessment with MLLM
by: Zhang, Guohua, et al.
Published: (2026)
by: Zhang, Guohua, et al.
Published: (2026)
PointCloud-Text Matching: Benchmark Datasets and a Baseline
by: Feng, Yanglin, et al.
Published: (2024)
by: Feng, Yanglin, et al.
Published: (2024)
MedQ-Bench: Evaluating and Exploring Medical Image Quality Assessment Abilities in MLLMs
by: Liu, Jiyao, et al.
Published: (2025)
by: Liu, Jiyao, et al.
Published: (2025)
PointSFDA: Source-free Domain Adaptation for Point Cloud Completion
by: He, Xing, et al.
Published: (2025)
by: He, Xing, et al.
Published: (2025)
LCM: Locally Constrained Compact Point Cloud Model for Masked Point Modeling
by: Zha, Yaohua, et al.
Published: (2024)
by: Zha, Yaohua, et al.
Published: (2024)
Q-Doc: Benchmarking Document Image Quality Assessment Capabilities in Multi-modal Large Language Models
by: Huang, Jiaxi, et al.
Published: (2025)
by: Huang, Jiaxi, et al.
Published: (2025)
Point-Cache: Test-time Dynamic and Hierarchical Cache for Robust and Generalizable Point Cloud Analysis
by: Sun, Hongyu, et al.
Published: (2025)
by: Sun, Hongyu, et al.
Published: (2025)
Random Walk on Point Clouds for Feature Detection
by: Zhang, Yuhe, et al.
Published: (2026)
by: Zhang, Yuhe, et al.
Published: (2026)
TopoLiDM: Topology-Aware LiDAR Diffusion Models for Interpretable and Realistic LiDAR Point Cloud Generation
by: Liu, Jiuming, et al.
Published: (2025)
by: Liu, Jiuming, et al.
Published: (2025)
No-Reference Point Cloud Quality Assessment via Graph Convolutional Network
by: Chen, Wu, et al.
Published: (2024)
by: Chen, Wu, et al.
Published: (2024)
Similar Items
-
ForestHG-Trace: Traceable Long-Horizon Ecological Reasoning over Large-Scale Forest Scenes
by: Cheng, Zihang, et al.
Published: (2026) -
On-the-fly Point Feature Representation for Point Clouds Analysis
by: Wang, Jiangyi, et al.
Published: (2024) -
DPCD: A Quality Assessment Database for Dynamic Point Clouds
by: Liu, Yating, et al.
Published: (2025) -
Stochasticity-aware No-Reference Point Cloud Quality Assessment
by: Fan, Songlin, et al.
Published: (2024) -
Point Cloud Compression and Objective Quality Assessment: A Survey
by: Xu, Yiling, et al.
Published: (2025)