Marouane Tliba — accepted AI-conference papers

2024

Balancing Representation Abstractions and Local Details Preservation for 3d Point Cloud Quality Assessment

Marouane Tliba, Aladine Chetouani, Giuseppe Valenzise, Frédéric Dufaux

ICASSP 2024accepted

3D Point Clouds (PCs) have become a valuable tool for representing intricate 3D information. Assessing the quality of PCs remains a challenging task, especially when striving for optimal immersive experiences. This paper introduces a novel metric and training approach that leverages projection-based…

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2023

PCQA-Graphpoint: Efficient Deep-Based Graph Metric for Point Cloud Quality Assessment

Marouane Tliba, Aladine Chetouani, Giuseppe Valenzise, Frédéric Dufaux

ICASSP 2023accepted

Following the advent of immersive technologies and the increasing interest in representing interactive geometrical format, 3D Point Clouds (PC) have emerged as a promising solution and effective means to display 3D visual information. In addition to other challenges in immersive applications, object…

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