AIGC-Powered Fine-Grained Emotional Digital Art Generation

This paper focuses on the cutting-edge proposition of how to create AI artworks that balance aesthetic expressions and conform to copyright norms against the background of technological empowerment and ethical constraints. The research aims to break through the challenges of AIGC in terms of technical precision and ethical boundaries in creative processes, by introducing a framework for generating fine-grained emotional digital art based on AIGC. This framework draws inspiration by leveraging emotion-controllable AIGC, uses digital art generation tools for drawing, and incorporates human thinking to output works. For implementation, a high-performance heterogeneous computing architecture is adopted to build a modular digital art picture generation system. The innovation of this paper lies in introducing emotion-controllable AIGC, using digital generation technology to prove the originality of works and avoid infringement risks. This approach offers a new path for AIGC digital art creation and promotes the healthy development of the digital content industry.

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Publication Details

Published
2025-06-30
DOI
https://doi.org/10.1109/icmew68306.2025.11152267
Primary Topic
Digital Media and Visual Art
Type
article
Field-Weighted Citation Impact
0.00
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article

AIGC-Powered Fine-Grained Emotional Digital Art Generation

S Liu, Qinglan Wei, Wei Zhong, Yuanjie Shen et al.
Digital Media and Visual Art
article

AIGC-Powered Fine-Grained Emotional Digital Art Generation

S Liu, Qinglan Wei, Wei Zhong, Yuanjie Shen, Long Ye
article en

Abstract

This paper focuses on the cutting-edge proposition of how to create AI artworks that balance aesthetic expressions and conform to copyright norms against the background of technological empowerment and ethical constraints. The research aims to break through the challenges of AIGC in terms of technical precision and ethical boundaries in creative processes, by introducing a framework for generating fine-grained emotional digital art based on AIGC. This framework draws inspiration by leveraging emotion-controllable AIGC, uses digital art generation tools for drawing, and incorporates human thinking to output works. For implementation, a high-performance heterogeneous computing architecture is adopted to build a modular digital art picture generation system. The innovation of this paper lies in introducing emotion-controllable AIGC, using digital generation technology to prove the originality of works and avoid infringement risks. This approach offers a new path for AIGC digital art creation and promotes the healthy development of the digital content industry.

Ministry of Education of the People's Republic of China (CN), Communication University of China (CN)
Openalex Percentile: Top 56%
Digital Media and Visual Art
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AIGC-Powered Fine-Grained Emotional Digital Art Generation — S Liu, Qinglan Wei, et al. · (2025) | TGRS Research Map | TGRS