Unveiling the aesthetic “wow factor”: The role of aesthetic incongruity and image quality in NFT art valuation with computer vision

Guan, Chong; Ding, Ding; Ren, Jing; Guo, Jiancang

doi:10.1007/s12525-024-00722-2

Electron Markets

2024

DOI: 10.1007/s12525-024-00722-2

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Unveiling the aesthetic “wow factor”: The role of aesthetic incongruity and image quality in NFT art valuation with computer vision

Chong Guan,

Ding Ding,

Jing Ren

et al.

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2024

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Cited by 2 publications

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Strategies for cross-cultural digital media content creation and communication facilitated by emerging technologies

Zhou

2024

Applied Mathematics and Nonlinear Sciences

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Cross-cultural communication is an effective way to enhance national soft power and international competitiveness, but the cultural differences between different countries hinder cross-cultural communication to a certain extent, and the efficiency of communication needs to be further improved. This study is based on the generative adversarial network algorithm in computer vision technology, which is applied to the method of creating cross-cultural digital media content. Taking the digital media content creation of traditional Dong tattoos as an example, the tattoo content created using this paper’s method is compared to the tattoo content created using Diffusion’s stable diffusion model. According to the different cultural and professional backgrounds of the interviewees, the tattoos were analyzed in terms of three evaluation dimensions, namely, the appearance characteristics, the inner performance and the practical value of the tattoos. The interviewees unanimously agreed that the digital media content of Dong traditional tattoos produced by this paper is superior to the comparative model and has more cultural identity. Finally, this paper proposes a specific strategy for using digital media to promote cross-cultural communication.

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Strategies for cross-cultural digital media content creation and communication facilitated by emerging technologies

Zhou

2024

Applied Mathematics and Nonlinear Sciences

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A Comprehensive Review of Generative AI in Finance

Lee,

Guan,

et al. 2024

FinTech

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The integration of generative AI (GAI) into the financial sector has brought about significant advancements, offering new solutions for various financial tasks. This review paper provides a comprehensive examination of recent trends and developments at the intersection of GAI and finance. By utilizing an advanced topic modeling method, BERTopic, we systematically categorize and analyze existing research to uncover predominant themes and emerging areas of interest. Our findings reveal the transformative impact of finance-specific large language models (LLMs), the innovative use of generative adversarial networks (GANs) in synthetic financial data generation, and the pressing necessity of a new regulatory framework to govern the use of GAI in the finance sector. This paper aims to provide researchers and practitioners with a structured overview of the current landscape of GAI in finance, offering insights into both the opportunities and challenges presented by these advanced technologies.

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Unveiling the aesthetic “wow factor”: The role of aesthetic incongruity and image quality in NFT art valuation with computer vision

Cited by 2 publications

References 71 publications

Strategies for cross-cultural digital media content creation and communication facilitated by emerging technologies

Strategies for cross-cultural digital media content creation and communication facilitated by emerging technologies

A Comprehensive Review of Generative AI in Finance

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