人工智能驱动的数字图像艺术创作：方法与案例分析

王常圣

doi:10.11959/j.issn.2096-6652.202333

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人工智能驱动的数字图像艺术创作：方法与案例分析

专题：扩散模型和人工智能内容生成 | 更新时间：2024-04-04

- 人工智能驱动的数字图像艺术创作：方法与案例分析
- AI-driven digital image art creation: methods and case analysis
- 智能科学与技术学报 2023年5卷第3期页码：406-414
- 作者机构：
- 作者简介：
  
  [ "王常圣（1995- ），男，世宗大学公演、影像、动画系博士生，主要研究方向为人工智能艺术和AI绘画" ]
- 基金信息：
- DOI：10.11959/j.issn.2096-6652.202333
  中图分类号： TP39
- 修回：2023-08-09，
  
  网络首发：2023-09，
  
  纸质出版：2023-09-15
- 稿件说明：
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王常圣. 人工智能驱动的数字图像艺术创作：方法与案例分析[J]. 智能科学与技术学报, 2023,5(3):406-414.

Changsheng WANG. AI-driven digital image art creation: methods and case analysis[J]. Chinese Journal of Intelligent Science and Technology, 2023, 5(3): 406-414.
王常圣. 人工智能驱动的数字图像艺术创作：方法与案例分析[J]. 智能科学与技术学报, 2023,5(3):406-414. DOI： 10.11959/j.issn.2096-6652.202333.

Changsheng WANG. AI-driven digital image art creation: methods and case analysis[J]. Chinese Journal of Intelligent Science and Technology, 2023, 5(3): 406-414. DOI： 10.11959/j.issn.2096-6652.202333.

摘要

近年来，人工智能技术的快速发展为数字图像创作领域提供了新的工具。使用AI工具进行数字图像创作逐渐成为一种常见的创作方式。在此背景下，通过访谈、调查与案例分析的方法，分析了人工智能驱动的数字图像艺术创作方法与案例。调查结果显示，大多数受访者认为AI工具对其创作过程产生了显著的影响，尤其是AI图像直出的方法被广泛运用于数字图像艺术创作中。通过对案例进行详细剖析，揭示了基于AI的数字图像艺术创作的典型范式，并将之归纳为“AI艺术创作工作流”。其包括AI图像直出法、AI辅助绘图法和ControlNet精确绘图法。这些方法可以有效地替代数字图像创作中的重复环节并提高出图效率，辅助数字图像的绘制和突破常规出图思路，实现精确可控的数字图像艺术内容表达。

Abstract

In recent years

the rapid advancement of artificial intelligence technology has introduced novel tools for the realm of digital image creation.The use of AI tools for digital image creation has gradually become a common practice.In this context

this paper analyzed the methods and cases of AI-driven digital image art creation through interviews

surveys

and case analyses.The survey revealed that the majority of respondents believed that AI tools had a significant impact on their creative process

especially the widespread use of direct output from artificial intelligence methods in digital image art creation.By analyzing the cases in detail

this paper revealed the typical paradigms of AI-based digital image art creation and summarized them as the “AI art creation workflow”

which included AI direct output

AI assisted drawing

and ControlNet precision drawing.These methods can effectively replace repetitive steps in digital image creation and improve image output efficiency

assist in digital image drawing and break through the conventional drawing ideas

and achieve precise and controllable expression of digital image art content.

关键词

Keywords

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