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Research on Modern Art Design Innovation Based on Computer Vision Technology

  
Oct 04, 2024

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Pang, B., Chen, T., & Dai, M. (2022, June). Analysis on the development of visual communication design under the innovation of information technology. In International Conference on Applications and Techniques in Cyber Intelligence (pp. 535-543). Cham: Springer International Publishing. Search in Google Scholar

Chen, C. (2022). Study on the innovative development of digital media art in the context of artificial intelligence. Computational Intelligence and Neuroscience, 2022(1), 1004204. Search in Google Scholar

Chen, J. (2023, March). Digital Media Art and Visual Communication Design Method Under Computer Technology. In The International Conference on Cyber Security Intelligence and Analytics (pp. 87-96). Cham: Springer Nature Switzerland. Search in Google Scholar

Cui, Y., & Cui, Y. (2022, March). Research on Innovative Mode of Visual Communication Design in Big Data Era. In The International Conference on Cyber Security Intelligence and Analytics (pp. 639-643). Cham: Springer International Publishing. Search in Google Scholar

Liu, J., & Zheng, S. (2022, September). Research on design innovation systems in computer big data visual communication. In 2022 International Conference on Electronics and Devices, Computational Science (ICEDCS) (pp. 328-332). IEEE. Search in Google Scholar

Zhou, Q., & Liu, T. (2022). Research on Visual Communication of Graphic Design Based on Machine Vision. In 3D Imaging—Multidimensional Signal Processing and Deep Learning: 3D Images, Graphics and Information Technologies, Volume 1 (pp. 217-224). Singapore: Springer Nature Singapore. Search in Google Scholar

Song, B. (2021). Visual communication design based on artificial intelligence under the digital media art environment. Solid State Technology, 64(2), 4882-4890. Search in Google Scholar

Wei, X., & Wei, R. (2022). Research on interactive art design system based on artificial intelligence technology. In 3D Imaging—Multidimensional Signal Processing and Deep Learning: Multidimensional Signals, Images, Video Processing and Applications, Volume 2 (pp. 159-166). Singapore: Springer Nature Singapore. Search in Google Scholar

Lian, X. (2024). The Fusion of Traditional Art and Modern Design: A Path to Cross-disciplinary Innovation. Art and Performance Letters, 5(2), 115-121. Search in Google Scholar

Gu, Y., Wang, Q., & Gu, W. (2023). The Innovative Application of Visual Communication Design in Modern Art Design. Electronics 2023, 12, 1150. Search in Google Scholar

Wang, J., & Zhang, J. (2023). Research on the Theory and Innovation Strategy of Digital Media Art Development Based on Artificial Intelligence Technology. Applied Mathematics and Nonlinear Sciences, 9(1). Search in Google Scholar

Iaţeşen, M. C. (2017). CREATIVITY AND INNOVATION IN VISUAL ARTS THROUGH FORM AND SPACE HAVING SYMBOLIC VALUE. Review of Artistic Education, (13+ 14), 207-216. Search in Google Scholar

Cai, J., & Su, J. (2022). Application characteristics and innovation of digital technology in visual communication design. Advances in Multimedia, 2022(1), 8806770. Search in Google Scholar

Yang, B. (2021, April). Innovation and development analysis of visual communication design based on digital media art context. In 2021 International Conference on Computer Technology and Media Convergence Design (CTMCD) (pp. 192-195). IEEE. Search in Google Scholar

Du, Y. (2020). Research on the transformation and innovation of visual art design form based on digital fusion technology. Applied Mathematics and Nonlinear Sciences. Search in Google Scholar

Huang Yujie,Tan Yinlong,Kang Yan,Chen Yabo,Tang Yuhua & Jiang Tian. (2024). Bioinspired sensing-memory-computing integrated vision systems: biomimetic mechanisms, design principles, and applications. Science China Information Sciences(5). Search in Google Scholar

Venkataraman Sai Raam,Balasubramanian S,Anand Ankit & Sarma R Raghunatha. (2024). Learning compositional capsule networks. Sādhanā(3). Search in Google Scholar

Jinsong Zhang,Yu Kun Lai,Jian Ma & Kun Li. (2024). Multi-scale information transport generative adversarial network for human pose transfer. Displays102786-102786. Search in Google Scholar

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