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Transform-Aligned Learned Features for Lossy Point Cloud Attribute Compression
Transform-based methods provide an effective framework for point cloud attribute compression by representing attributes as transform coefficients. Introducing learned spatial context into this framework requires mapping spatial representations to the transform domain, but this known basis change is
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