Potensi Artificial Intelligence dalam Dunia Kreativitas Desain

Authors

  • Dwina Satrinia Telkom University
  • Reza Ramadani Firman Telkom University
  • Trimalda Nur Fitriati Telkom University

DOI:

https://doi.org/10.52661/j_ict.v5i1.164

Abstract

The shift in cultural practices towards digital usage has led companies and product brands to become increasingly adept at utilizing social media for promotion and branding. Creating social media content requires creativity, interactivity, attractiveness, and speed, driving a growing demand for design skills. To support the design process, designers rely on various tools, including AI-integrated applications, such as Canva, Figma, Picsart, Adobe Photoshop, Adobe Lightroom, and others. These tools enhance graphic designers' productivity and enable them to edit images, create artworks, and produce creative content for social media. 

The research explores the usage of AI technology in the field of design and art. It examines several AI applications, including image segmentation, image enhancement, image-to-image translation, face attribute manipulation, creating new artistic expressions, detecting fake paintings, 3D art, and AI influencers. AI has positively impacted the creative design world by enabling artists to explore new artistic expressions, generate more personal and interactive artworks, and streamline the design workflow. AI tools have also facilitated inclusive design, making creative content accessible to diverse audiences. However, there are concerns that AI may replace human artists and create art lacking soul or authenticity. The research aims to provide an overview of the existing studies on AI in design to help designers understand the potential of AI in the creative domain. It also discusses the positive and negative implications of AI's integration into the world of design, emphasizing the need for ethical considerations and the preservation of human artistic contributions. 

References

​​[1] C. Zhou, C. Chai, J. Liao, Z. Chen, dan J. Shi, “Artificial intelligence augmented design iteration support,” dalam Proceedings - 2020 13th International Symposium on Computational Intelligence and Design, ISCID 2020, Institute of Electrical and Electronics Engineers Inc., Des 2020, hlm. 354–358. doi: 10.1109/ISCID51228.2020.00086.

​[2] Merriam-Webster, “Artificial intelligence,” Merriam-Webster.com Dictionary, 21 Juli 2023. https://www.merriam-webster.com/dictionary/artificial%20intelligence (diakses 24 Juli 2023).

​[3] J. Liao, P. Hansen, dan C. Chai, “A framework of artificial intelligence augmented design support,” Hum Comput Interact, vol. 35, no. 5–6, hlm. 511–544, Nov 2020, doi: 10.1080/07370024.2020.1733576.

​[4] L. Hay, A. H. B. Duffy, C. McTeague, L. M. Pidgeon, T. Vuletic, dan M. Grealy, “A systematic review of protocol studies on conceptual design cognition: Design as search and exploration,” Design Science, vol. 3, 2017, doi: 10.1017/dsj.2017.11.

​[5] T. Brown, “Design Thinking,” 2008. [Daring]. Tersedia pada: www.hbr.org

​[6] X. Zhang dan W. Dahu, “Application of artificial intelligence algorithms in image processing,” J Vis Commun Image Represent, vol. 61, hlm. 42–49, Mei 2019, doi: 10.1016/j.jvcir.2019.03.004.

​[7] S. Kosugi dan T. Yamasaki, “Unpaired Image Enhancement Featuring Reinforcement-Learning-Controlled Image Editing Software,” dalam Proceedings of the AAAI Conference on Artificial Intelligence, 2020, hlm. 11296–11303. doi: https://doi.org/10.1609/aaai.v34i07.6790.

​[8] V. Bychkovsky, S. Paris, E. Chan, dan F. Durand, “Learning Photographic Global Tonal Adjustment with a Database of Input / Output Image Pairs,” 2011. [Daring]. Tersedia pada: http://graphics.csail.mit.edu/fivek_dataset

​[9] Z. Yan, H. Zhang, B. Wang, S. Paris, dan Y. Yu, “Automatic photo adjustment using deep neural networks,” ACM Trans Graph, vol. 35, no. 2, Mar 2016, doi: 10.1145/2790296.

​[10] M. Gharbi, J. Chen, J. T. Barron, S. W. Hasinoff, dan F. Durand, “Deep bilateral learning for real-time image enhancement,” dalam ACM Transactions on Graphics, Association for Computing Machinery, 2017. doi: 10.1145/3072959.3073592.

​[11] R. Wang, Q. Zhang, C. W. Fu, X. Shen, W. S. Zheng, dan J. Jia, “Underexposed photo enhancement using deep illumination estimation,” dalam Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, IEEE Computer Society, Jun 2019, hlm. 6842–6850. doi: 10.1109/CVPR.2019.00701.

​[12] Y. S. Chen, Y. C. Wang, M. H. Kao, dan Y. Y. Chuang, “Deep Photo Enhancer: Unpaired Learning for Image Enhancement from Photographs with GANs,” dalam Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, IEEE Computer Society, Des 2018, hlm. 6306–6314. doi: 10.1109/CVPR.2018.00660.

​[13] T. C. Wang, M. Y. Liu, J. Y. Zhu, A. Tao, J. Kautz, dan B. Catanzaro, “High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs,” dalam Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, IEEE Computer Society, Des 2018, hlm. 8798–8807. doi: 10.1109/CVPR.2018.00917.

​[14] J. Y. Zhu, T. Park, P. Isola, dan A. A. Efros, “Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks,” dalam Proceedings of the IEEE International Conference on Computer Vision, Institute of Electrical and Electronics Engineers Inc., Des 2017, hlm. 2242–2251. doi: 10.1109/ICCV.2017.244.

​[15] Z. Yi, H. Zhang, P. Tan, dan M. Gong, “DualGAN: Unsupervised Dual Learning for Image-to-Image Translation,” dalam Proceedings of the IEEE International Conference on Computer Vision, Institute of Electrical and Electronics Engineers Inc., Des 2017, hlm. 2868–2876. doi: 10.1109/ICCV.2017.310.

​[16] Q. Cao, L. Lin, Y. Shi, X. Liang, dan G. Li, “Attention-aware face hallucination via deep reinforcement learning,” dalam Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, Institute of Electrical and Electronics Engineers Inc., Nov 2017, hlm. 1656–1664. doi: 10.1109/CVPR.2017.180.

​[17] D. Li, H. Wu, J. Zhang, dan K. Huang, “A2-RL: Aesthetics Aware Reinforcement Learning for Image Cropping,” dalam Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, IEEE Computer Society, Des 2018, hlm. 8193–8201. doi: 10.1109/CVPR.2018.00855.

​[18] K. Yu, C. Dong, L. Lin, dan C. C. Loy, “Crafting a Toolchain for Image Restoration by Deep Reinforcement Learning,” dalam Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, IEEE Computer Society, Des 2018, hlm. 2443–2452. doi: 10.1109/CVPR.2018.00259.

​[19] G. Zhang, M. Kan, S. Shan, dan X. Chen, “Generative adversarial network with spatial attention for face attribute editing,” Computer Vision – ECCV 2018, vol. 11210, 2018, doi: 10.1007/978-3-030-01231-1.

​[20] P. Upchurch dkk., “Deep feature interpolation for image content changes,” dalam Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, Institute of Electrical and Electronics Engineers Inc., Nov 2017, hlm. 6090–6099. doi: 10.1109/CVPR.2017.645.

​[21] Y. C. Chen, X. Shen, Z. Lin, X. Lu, I. M. Pao, dan J. Jia, “Semantic component decomposition for face attribute manipulation,” dalam Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, IEEE Computer Society, Jun 2019, hlm. 9851–9859. doi: 10.1109/CVPR.2019.01009.

​[22] B. Zhang dan N. H. Romainoor, “Research on Artificial Intelligence in New Year Prints: The Application of the Generated Pop Art Style Images on Cultural and Creative Products,” Applied Sciences (Switzerland), vol. 13, no. 2, Jan 2023, doi: 10.3390/app13021082.

​[23] Y. Shen dan F. Yu, “The Influence of Artificial Intelligence on Art Design in the Digital Age,” Sci Program, vol. 2021, 2021, doi: 10.1155/2021/4838957.

​[24] Z. Niu, S. Xiang, dan M. Zhang, “Application of Artificial Intelligence Combined with Three-Dimensional Digital Technology in the Design of Complex Works of Art,” Wirel Commun Mob Comput, vol. 2022, 2022, doi: 10.1155/2022/6444441.

​[25] H. Alboqami, “Trust me, I’m an influencer! - Causal recipes for customer trust in artificial intelligence influencers in the retail industry,” Journal of Retailing and Consumer Services, vol. 72, Mei 2023, doi: 10.1016/j.jretconser.2022.103242.

​[26] L. Tirta Putri, R. Adawiyah, R. Alvinna Fitriyani, dan C. Author, “TREN TEKNOLOGI ARTIFICIAL INTELLIGENCE PENGGANTI MODEL IKLAN DI MASA DEPAN,” JURNAL SOSIAL POLITIKA, vol. 2, no. 2, hlm. 118–129, 2021.

​[27] A. Hertzmann, “Artificial Intelligence for Art: Robots and Machine Learning in Creating Art and Design,” ACM SIGGRAPH 2018 Art Papers, hlm. 1–8, 2018.

​[28] K. Smith, J., & Jacoby, “AI-Driven Design: How Artificial Intelligence Is Revolutionizing the Creative Process,” International Journal of Art and Design, hlm. 567–580, 2019.

​[29] J. Liao, P. Hansen, dan C. Chai, “A framework of artificial intelligence augmented design support,” hlm. 511–544, 2020, doi: 10.1080/07370024.2020.1733576.

​[30] M. Mazzone dan A. Elgammal, “Art, Creativity, and the Potential of Artificial Intelligence,” Arts, vol. 8, no. 1, hlm. 26, Feb 2019, doi: 10.3390/arts8010026.

Downloads

Published

2023-12-09

How to Cite

Satrinia, D., Firman, R. R., & Fitriati, T. N. (2023). Potensi Artificial Intelligence dalam Dunia Kreativitas Desain. Journal of Informatics and Communication Technology (JICT), 5(1), 159–168. https://doi.org/10.52661/j_ict.v5i1.164

Issue

Section

Informatika