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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2506.04081 |
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| _version_ | 1866910987151474688 |
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| author | Laazoufi, Abdelouahed Hassouni, Mohammed El Cherifi, Hocine |
| author_facet | Laazoufi, Abdelouahed Hassouni, Mohammed El Cherifi, Hocine |
| contents | No-Reference Point Cloud Quality Assessment (NR-PCQA) is critical for evaluating 3D content in real-world applications where reference models are unavailable. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_04081 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Point Cloud Quality Assessment Using the Perceptual Clustering Weighted Graph (PCW-Graph) and Attention Fusion Network Laazoufi, Abdelouahed Hassouni, Mohammed El Cherifi, Hocine Computer Vision and Pattern Recognition No-Reference Point Cloud Quality Assessment (NR-PCQA) is critical for evaluating 3D content in real-world applications where reference models are unavailable. |
| title | Point Cloud Quality Assessment Using the Perceptual Clustering Weighted Graph (PCW-Graph) and Attention Fusion Network |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2506.04081 |