Cover Image

No-Reference Point Cloud Quality Assessment via Graph Convolutional Network

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Wu, Jiang, Qiuping, Zhou, Wei, Shao, Feng, Zhai, Guangtao, Lin, Weisi
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Image and Video Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

GMS-3DQA: Projection-based Grid Mini-patch Sampling for 3D Model Quality Assessment
by: Zhang, Zicheng, et al.
Published: (2023)

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

Adaptive Image Quality Assessment via Teaching Large Multimodal Model to Compare
by: Zhu, Hanwei, et al.
Published: (2024)

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)

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

Exploring Image Quality Assessment from a New Perspective: Pupil Size
by: Gao, Yixuan, et al.
Published: (2025)

Image Quality Assessment: From Human to Machine Preference
by: Li, Chunyi, et al.
Published: (2025)

Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment
by: Li, Yixiao, et al.
Published: (2025)

Perceptual Video Quality Assessment: A Survey
by: Min, Xiongkuo, et al.
Published: (2024)

Q-Refine: A Perceptual Quality Refiner for AI-Generated Image
by: Li, Chunyi, et al.
Published: (2024)

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

THQA: A Perceptual Quality Assessment Database for Talking Heads
by: Zhou, Yingjie, et al.
Published: (2024)

Audio-Visual Quality Assessment for User Generated Content: Database and Method
by: Cao, Yuqin, et al.
Published: (2023)

3DGCQA: A Quality Assessment Database for 3D AI-Generated Contents
by: Zhou, Yingjie, et al.
Published: (2024)

UNQA: Unified No-Reference Quality Assessment for Audio, Image, Video, and Audio-Visual Content
by: Cao, Yuqin, et al.
Published: (2024)

Ultrasound-QBench: Can LLMs Aid in Quality Assessment of Ultrasound Imaging?
by: Miao, Hongyi, et al.
Published: (2025)

Enhancing Blind Video Quality Assessment with Rich Quality-aware Features
by: Sun, Wei, et al.
Published: (2024)

AU-IQA: A Benchmark Dataset for Perceptual Quality Assessment of AI-Enhanced User-Generated Content
by: Wang, Shushi, et al.
Published: (2025)

Just Noticeable Difference for Large Multimodal Models
by: Chen, Zijian, et al.
Published: (2025)

Compression-Realized Deep Structural Network for Video Quality Enhancement
by: Sun, Hanchi, et al.
Published: (2024)

Who is a Better Talker: Subjective and Objective Quality Assessment for AI-Generated Talking Heads
by: Zhou, Yingjie, et al.
Published: (2025)

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

CMC-Bench: Towards a New Paradigm of Visual Signal Compression
by: Li, Chunyi, et al.
Published: (2024)

Analysis of Video Quality Datasets via Design of Minimalistic Video Quality Models
by: Sun, Wei, et al.
Published: (2023)

Surveillance Facial Image Quality Assessment: A Multi-dimensional Dataset and Lightweight Model
by: Jiang, Yanwei, et al.
Published: (2026)

CompressedVQA-HDR: Generalized Full-reference and No-reference Quality Assessment Models for Compressed High Dynamic Range Videos
by: Sun, Wei, et al.
Published: (2025)

DocIQ: A Benchmark Dataset and Feature Fusion Network for Document Image Quality Assessment
by: Ma, Zhichao, et al.
Published: (2025)

AIGCOIQA2024: Perceptual Quality Assessment of AI Generated Omnidirectional Images
by: Yang, Liu, et al.
Published: (2024)

Embodied Image Compression
by: Li, Chunyi, et al.
Published: (2025)

Multi-task Feature Enhancement Network for No-Reference Image Quality Assessment
by: Yu, Li
Published: (2024)

MLIC++: Linear Complexity Multi-Reference Entropy Modeling for Learned Image Compression
by: Jiang, Wei, et al.
Published: (2023)

Point-GR: Graph Residual Point Cloud Network for 3D Object Classification and Segmentation
by: Meraz, Md, et al.
Published: (2024)

MISC: Ultra-low Bitrate Image Semantic Compression Driven by Large Multimodal Model
by: Li, Chunyi, et al.
Published: (2024)

Resolution-Agnostic Neural Compression for High-Fidelity Portrait Video Conferencing via Implicit Radiance Fields
by: Li, Yifei, et al.
Published: (2024)

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

MLIC: Multi-Reference Entropy Model for Learned Image Compression
by: Jiang, Wei, et al.
Published: (2022)

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

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

R-Bench: Are your Large Multimodal Model Robust to Real-world Corruptions?
by: Li, Chunyi, et al.
Published: (2024)

Structural Similarity in Deep Features: Image Quality Assessment Robust to Geometrically Disparate Reference
by: Zhang, Keke, et al.
Published: (2024)