Exploiting Topological Prior for Boosting Point Cloud Generation

arXiv:2403.10962v1 Announce Type: new
Abstract: This paper presents an innovative enhancement to the Sphere as Prior Generative Adversarial Network (SP-GAN) model, a state-of-the-art GAN designed for point cloud generation. A novel method is introduced for point cloud generation that elevates the structural integrity and overall quality of the generated point clouds by incorporating topological priors into the training process of the generator. Specifically, this work utilizes the K-means algorithm to segment a point cloud from the repository into clusters and …

abstract adversarial art arxiv boosting cloud cs.cv eess.iv gan generated generative generative adversarial network integrity network novel paper prior quality sphere state type