A generalized Gaussian entropy model with dynamically adjusted likelihood intervals reduces bitrate by 6 to 11 percent across three point-cloud attribute compression baselines.
Tsc-pcac: V oxel transformer and sparse convolution- based point cloud attribute compression for 3d broadcasting
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Generalized Gaussian Entropy Model for Point Cloud Attribute Compression with Dynamic Likelihood Intervals
A generalized Gaussian entropy model with dynamically adjusted likelihood intervals reduces bitrate by 6 to 11 percent across three point-cloud attribute compression baselines.