用于三维点云的生成式人工智能

IF 2.3 4区计算机科学 Q2 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE

IEEE MultiMedia Pub Date : 2024-07-11 DOI:10.1109/mmul.2024.3413395

Minhas Kamal, Balakrishnan Prabhakaran

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引用次数: 0

摘要

生成式人工智能是指设计用于生成文本、图像、视频或其他数据的算法和技术，通常是根据提示进行生成。这些算法利用大型生成模型，学习训练期间提供的媒体数据（文本、图像或视频）的模式和结构，然后生成具有类似特征的新媒体数据。近期的大部分研究都将生成式人工智能应用于文本和二维图像数据。然而，针对三维模型（尤其是三维点云数据 (PCD)）的生成式人工智能在虚拟现实内容生成、游戏、产品设计和制造方面有着引人注目的应用，但也带来了许多研究挑战。

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Generative AI for 3-D Point Clouds

Generative AI refers to algorithms and techniques designed to generate text, images, videos, or other data, typically in response to prompts. These algorithms leverage large generative models that learn the patterns and structures of the media data (text, images, or videos) provided during training and then generate new media data that have analogous characteristics. Much of the recent research has gone into applying generative AI for text and 2-D image data. However, generative AI for 3-D models, especially 3-D point cloud data (PCD), has compelling applications in virtual reality content generation, gaming, and product design and manufacturing, but it introduces a multitude of research challenges.

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来源期刊

IEEE MultiMedia 工程技术-计算机：理论方法

CiteScore

6.40

自引率

3.10%

发文量

审稿时长

>12 weeks

期刊介绍： The magazine contains technical information covering a broad range of issues in multimedia systems and applications. Articles discuss research as well as advanced practice in hardware/software and are expected to span the range from theory to working systems. Especially encouraged are papers discussing experiences with new or advanced systems and subsystems. To avoid unnecessary overlap with existing publications, acceptable papers must have a significant focus on aspects unique to multimedia systems and applications. These aspects are likely to be related to the special needs of multimedia information compared to other electronic data, for example, the size requirements of digital media and the importance of time in the representation of such media. The following list is not exhaustive, but is representative of the topics that are covered: Hardware and software for media compression, coding & processing; Media representations & standards for storage, editing, interchange, transmission & presentation; Hardware platforms supporting multimedia applications; Operating systems suitable for multimedia applications; Storage devices & technologies for multimedia information; Network technologies, protocols, architectures & delivery techniques intended for multimedia; Synchronization issues; Multimedia databases; Formalisms for multimedia information systems & applications; Programming paradigms & languages for multimedia; Multimedia user interfaces; Media creation integration editing & management; Creation & modification of multimedia applications.