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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 0Source ↗Scholar ↗
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 0Source ↗Scholar ↗