If the famous Mexican painter Frida Kahlo were alive today, what kind of art would she create? For humans, creating art like this based on past artwork is difficult, but not for artificial intelligence.
Carlos Paboudjian, creative at creative commerce company VMLY&R, created a fictional design that captured the imagination of Frida Kahlo and translated it into clothing. He harnessed the power of her AI-powered image processing tools, such as DALL.E 2 and her Midjourney, to turn painter Frida Kahlo into fashion her designer. He carried out this fashion her designer experiment on director Wes Anderson, producing an entire collection of designer clothing that captures his creative nature.
However, the experiment has sparked a new debate. Is AI powerful enough to replace designers?
“AI will definitely challenge and replace designers,” said Kenneth Cukier, editor of The Economist. This is because AI can help designers do their job faster and make more accurate predictions.
Datasets such as DeepFashion have been available for over five years. This dataset contains over 800,000 different fashion photos, comprehensively annotated from well-posed product images to lifelike consumer photos. This helped predict clothing categories and create computer-generated images of similar products.
Experts say the first obstacle to introducing AI technology into design was due to lack of technology. Experts say that before the advent of Generative Adversarial Networks (GANs), creating realistic fashion shots was a difficult task due to the amount of data in the photos. Images are often high resolution and have a huge number of pixels. GANs provided a viable way for researchers to create and validate all this data.
Fashion Design: Cakewalk
With new developments in artificial intelligence, fashion designers are also adopting the technology to solve problems such as predicting new trends, enabling sustainability, and classifying supply chains. What if artificial intelligence could do all these things without human intervention?
Developed using artificial intelligence (AI) and manufactured by Hyundai Handsome, the sweatshirt received media attention in 2019. It was the first time in South Korea that a fashion company used AI to create clothes.
It was created by Designovel, a data-driven fashion IT startup. The company used artificial intelligence to create fashion designs for its customers, including Hyundai and other sports and fashion brands.
At the time, tech companies were acknowledging that they could take advantage of superhuman processing power to create unique ideas and struggle to find average trendy designs.
However, in the last three years or so, AI technology has progressed, making it possible to create complex and unique designs.
The rise of the likes of DALL.E 2 and Midjourney made the process too easy. The text-to-image platform can create realistic images and art from natural language descriptions.
A creative, mysterious, intuitive, and enigmatic process whose primary purpose is to solve difficult problems and develop or explore unique solutions, design can be solved in simple terms. increase.
The simplicity offered by these new AI-based platforms poses a threat to designers.
“Clothing brands are using technology to solve a variety of problems. Sooner or later they will implement the use of AI in their designs as well. threat,” said Devanshu, co-founder and COO of Trendgully, a Dubai-based company that provides software support and research reports to fashion brands. .
This means that the jobs of designers employed by smaller brands could soon be in jeopardy.
Retailers see AI as an enabler
Entitled “Retail Superstars: How Unleashing AI Across Functions Provides a Multi-Billion Dollar Opportunity,” the report presents a survey of 400 merchants worldwide deploying AI use cases at varying levels of maturity. group that makes up 23% of the industry). By revenue.
More than a quarter (28%) of retailers are now using AI, according to the report. The study shows a significant increase in AI installations since 2017 (17%), and a 7-fold (4%) increase since 2016.
So far, AI has facilitated some job creation while causing modest job losses. AI is currently creating jobs, according to 71% of retailers, and more than two-thirds of his jobs (68%) are at senior level (coordinator level and above).
Retailers have observed the impact of AI leading to fewer customer complaints and higher revenue. They are now surprisingly united in assessing the impact of AI on consumer relationships and sales.