End-to-end learning-based dynamic point cloud attribute coding framework

A method for encoding attributes of a current point cloud frame from a sequence of point cloud frames, the method comprising:

• obtaining a predicted feature map from attributes of a reference point cloud frame,
• obtaining a residual feature map between features representing voxel attributes at a current level in an octree structure of the current point cloud frame and the predicted feature map, wherein a feature for a current voxel is representative of at least a set of voxels that are still to be reconstructed, and
• encoding in a bitstream the residual feature map.

An apparatus comprising one or more processors, coupled to a memory, the apparatus configured to:

• obtain a predicted feature map from attributes of a reference point cloud frame,
• obtain a residual feature map between features representing voxel attributes at a current level in an octree structure of a current point cloud frame of a sequence of point cloud frames and the predicted feature map, wherein a feature for a current voxel is representative of at least a set of voxels that are still to be reconstructed, and
• encode in a bitstream the residual feature map.