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2 accepted papers

2024

Volumetric 3d Point Cloud Attribute Compression: Learned Polynomial Bilateral Filter for Prediction

ICASSP 2024accepted

We extend a previous study on 3D point cloud attribute compression scheme that uses a volumetric approach: given a target volumetric attribute function f : ℝ <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sup> ↦ ℝ, we quantize and encode parameters…

Cited by 0SourceScholar
2023

Volumetric Attribute Compression for 3D Point Clouds Using Feedforward Network with Geometric Attention

ICASSP 2023accepted

We study 3D point cloud attribute compression using a volumetric approach: given a target volumetric attribute function f : ℝ <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sup> → ℝ, we quantize and encode parameter vector θ that characterizes f at…

Cited by 0SourceScholar