Figure 3
An example of a multi-stage context modeling scheme with three groups:{l}, {3,6,8}, {2,4,5,7}, aimed at enhancing the accuracy of probability estimation in an entropy model by exploiting spatial correlations among groups. 0 symbolizes the context with the same shape as the input point cloud, where all attribute values are 0. Yth represents the hyperprior context output by decoder hs, and Z^g defines the global hyperprior. The entropy decoding decodes the bitstream into voxels using the entropy model parameters{μ, θ} generated by gep and ɡcm. Refer to the image caption for details.

An example of a multi-stage context modeling scheme with three groups:{l}, {3,6,8}, {2,4,5,7}, aimed at enhancing the accuracy of probability estimation in an entropy model by exploiting spatial correlations among groups. 0 symbolizes the context with the same shape as the input point cloud, where all attribute values are 0. Yth represents the hyperprior context output by decoder hs, and Z^g defines the global hyperprior. The entropy decoding decodes the bitstream into voxels using the entropy model parameters{μ, θ} generated by gep and ɡcm.

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