LGAIJun 5, 2023

A survey of Generative AI Applications

arXiv:2306.02781v2142 citationsh-index: 7
Originality Synthesis-oriented
AI Analysis

It provides a valuable resource for researchers and practitioners to understand the current state-of-the-art in generative AI applications, though it is incremental as a survey paper.

This paper presents a comprehensive survey of over 350 generative AI applications across diverse domains, organizing them into a structured taxonomy to help researchers and practitioners navigate the field.

Generative AI has experienced remarkable growth in recent years, leading to a wide array of applications across diverse domains. In this paper, we present a comprehensive survey of more than 350 generative AI applications, providing a structured taxonomy and concise descriptions of various unimodal and even multimodal generative AIs. The survey is organized into sections, covering a wide range of unimodal generative AI applications such as text, images, video, gaming and brain information. Our survey aims to serve as a valuable resource for researchers and practitioners to navigate the rapidly expanding landscape of generative AI, facilitating a better understanding of the current state-of-the-art and fostering further innovation in the field.

Foundations

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