SoLAR enables stable streamable reconstruction of long-horizon free-viewpoint videos via dynamic anchor activation and latent recalibration to prevent error propagation without group-of-pictures partitioning.
Deep learning- based point cloud compression: An in-depth survey and benchmark,
3 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 3verdicts
UNVERDICTED 3representative citing papers
PointCRA reduces information loss in deep point cloud networks by treating temporal trend variation as an extra evaluation dimension alongside spatial and channel attention, guided by a neighborhood homogeneity constraint.
LEAN-3D delivers 3-5x lower latency and up to 5.1x lower edge energy for learned point cloud compression on mobile hardware by restricting learned components to shallow hierarchy levels and using deterministic coding deeper in the tree.
citing papers explorer
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SoLAR: Error-Resilient Streamable Long-Horizon Free-Viewpoint Video Reconstruction with Anchor Activation and Latent Recalibration
SoLAR enables stable streamable reconstruction of long-horizon free-viewpoint videos via dynamic anchor activation and latent recalibration to prevent error propagation without group-of-pictures partitioning.
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Channel-Level Relation to Attentive Aggregation with Neighborhood-Homogeneity Constraint for Point Cloud Analysis
PointCRA reduces information loss in deep point cloud networks by treating temporal trend variation as an extra evaluation dimension alongside spatial and channel attention, guided by a neighborhood homogeneity constraint.
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LEAN-3D: Low-latency Hierarchical Point Cloud Codec for Mobile 3D Streaming
LEAN-3D delivers 3-5x lower latency and up to 5.1x lower edge energy for learned point cloud compression on mobile hardware by restricting learned components to shallow hierarchy levels and using deterministic coding deeper in the tree.