Mm-pcqa: Multi-modal learning for no-reference point cloud quality assessment

Z Zhang, W Sun, X Min, Q Zhou, J He, Q Wang… - arXiv preprint arXiv …, 2022 - arxiv.org
The visual quality of point clouds has been greatly emphasized since the ever-increasing 3D
vision applications are expected to provide cost-effective and high-quality experiences for …
被引用次数：63 相关文章
[PDF] ijcai.org

[PDF][PDF] MM-PCQA: Multi-Modal Learning for No-reference Point Cloud Quality Assessment

Z Zhang, W Sun, X Min, Q Wang, J He, Q Zhou, G Zhai - ijcai.org
The visual quality of point clouds has been greatly emphasized since the ever-increasing 3D
vision applications are expected to provide cost-effective and high-quality experiences for …
[PDF] researchgate.net

[PDF][PDF] MM-PCQA: Multi-Modal Learning for No-reference Point Cloud Quality Assessment

Z Zhang, W Sun, X Min, Q Wang, J He, Q Zhou, G Zhai - researchgate.net
The visual quality of point clouds has been greatly emphasized since the ever-increasing 3D
vision applications are expected to provide cost-effective and high-quality experiences for …

MM-PCQA: Multi-modal learning for no-reference point cloud quality assessment

Z Zhang, W Sun, X Min, Q Wang, J He, Q Zhou… - Proceedings of the …, 2023 - dl.acm.org
The visual quality of point clouds has been greatly emphasized since the ever-increasing 3D
vision applications are expected to provide cost-effective and high-quality experiences for …

MM-PCQA: Multi-Modal Learning for No-reference Point Cloud Quality Assessment

Z Zhang, W Sun, X Min, Q Zhou, J He, Q Wang… - arXiv e …, 2022 - ui.adsabs.harvard.edu
The visual quality of point clouds has been greatly emphasized since the ever-increasing 3D
vision applications are expected to provide cost-effective and high-quality experiences for …