A survey of point cloud generation algorithms based on deep generative models

As a core task in the field of 3D vision, point cloud generation plays a vital role in scenarios such as point cloud shape completion, upsampling, and synthesis. It is widely used in key application areas including autonomous driving, robot navigation, and medical imaging. Due to the inherent unorde...

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Principais autores:	Lin Zhihao, Zhao Jiachi, Cheng Zhuo
Format:	Artigo
Jezik:	Chinês
Izdano:	National Computer System Engineering Research Institute of China 2026-02-01
Serija:	Dianzi Jishu Yingyong
Teme:	point cloud generation deep generative model generative adversarial network （gan） variational autoencoder （vae） normalizing flow autoregressive model diffusion model
Online dostop:	http://www.chinaaet.com/article/3000176349
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