DeepTreeGANv2: Iterative Pooling of Point Clouds

• URL: http://arxiv.org/abs/2312.00042v2
• Date: Tue, 2 Jan 2024 12:41:26 GMT
• Title: DeepTreeGANv2: Iterative Pooling of Point Clouds
• Authors: Moritz Alfons Wilhelm Scham and Dirk Kr\"ucker and Kerstin Borras
• Abstract summary: We present an extension to DeepTreeGAN, featuring a critic, that is able to aggregate point clouds iteratively in a tree-based manner. We show that this model can reproduce complex distributions, and we evaluate its performance on the public JetNet 150 dataset.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: In High Energy Physics, detailed and time-consuming simulations are used for particle interactions with detectors. To bypass these simulations with a generative model, the generation of large point clouds in a short time is required, while the complex dependencies between the particles must be correctly modelled. Particle showers are inherently tree-based processes, as each particle is produced by the decay or detector interaction of a particle of the previous generation. In this work, we present a significant extension to DeepTreeGAN, featuring a critic, that is able to aggregate such point clouds iteratively in a tree-based manner. We show that this model can reproduce complex distributions, and we evaluate its performance on the public JetNet 150 dataset.

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