STQE: Spatial-Temporal Quality Enhancement for G-PCC Compressed Dynamic Point Clouds

• URL: http://arxiv.org/abs/2507.17522v1
• Date: Wed, 23 Jul 2025 14:03:54 GMT
• Title: STQE: Spatial-Temporal Quality Enhancement for G-PCC Compressed Dynamic Point Clouds
• Authors: Tian Guo, Hui Yuan, Xiaolong Mao, Shiqi Jiang, Raouf Hamzaoui, Sam Kwong,
• Abstract summary: We propose a spatial-temporal attribute quality enhancement (STQE) network that exploits both spatial and temporal correlations to improve the visual quality of compressed dynamic point clouds.<n>Our contributions include a recoloring-based motion compensation module that remaps reference attribute information to the current frame geometry to achieve precise inter-frame geometric alignment.<n>When applied to the latest G-PCC test model, STQE achieved improvements of 0.855 dB, 0.682 dB, and 0.828 dB in delta PSNR, with Bjontegaard Delta rate (BD-rate) reductions of -25.2%, -31.6%, and
• Score: 51.313922535437726
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Very few studies have addressed quality enhancement for compressed dynamic point clouds. In particular, the effective exploitation of spatial-temporal correlations between point cloud frames remains largely unexplored. Addressing this gap, we propose a spatial-temporal attribute quality enhancement (STQE) network that exploits both spatial and temporal correlations to improve the visual quality of G-PCC compressed dynamic point clouds. Our contributions include a recoloring-based motion compensation module that remaps reference attribute information to the current frame geometry to achieve precise inter-frame geometric alignment, a channel-aware temporal attention module that dynamically highlights relevant regions across bidirectional reference frames, a Gaussian-guided neighborhood feature aggregation module that efficiently captures spatial dependencies between geometry and color attributes, and a joint loss function based on the Pearson correlation coefficient, designed to alleviate over-smoothing effects typical of point-wise mean squared error optimization. When applied to the latest G-PCC test model, STQE achieved improvements of 0.855 dB, 0.682 dB, and 0.828 dB in delta PSNR, with Bj{\o}ntegaard Delta rate (BD-rate) reductions of -25.2%, -31.6%, and -32.5% for the Luma, Cb, and Cr components, respectively.

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