Davi Lazzarotto — accepted AI-conference papers

2024

Temporal Conditional Coding for Dynamic Point Cloud Geometry Compression

Bowen Huang, Davi Lazzarotto, Touradj Ebrahimi

ICASSP 2024accepted

Point clouds allow for the representation of 3D multimedia content as a set of disconnected points in space. Their inherent irregular geometric nature poses a challenge to efficient compression, a critical operation for both storage and transmission. This paper proposes a VAE-inspired codec tailored…

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2022

Latent Space Slicing for Enhanced Entropy Modeling In Learning-Based Point Cloud Geometry Compression

Nicolas Frank, Davi Lazzarotto, Touradj Ebrahimi

ICASSP 2022accepted

The growing adoption of point clouds as an imaging modality has stimulated the search for efficient solutions for compression. Learning-based algorithms have been reporting increasingly better performance and are drawing the attention from the research community and standardisation groups such as JP…

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