This is a write-up for my old project ClothingGAN. The project generates clothing design with AI using StyleGAN and semantically edits it with attributes such as sleeve, size, dress, jacket, etc. You can also do style transfer as shown in the image above by first generating 2 different clothing designs (output 1) with different seed numbers. Then, it will generate a third design (output 2) that mixes the previous 2 designs. You can then adjust how much style or structure you want it to inherit from the two original designs.
Alitheon Alitheon, a leader in advanced machine vision, has created FeaturePrint – a system that that securely links the physical and digital worlds. The patented FeaturePrint technology uses artificial intelligence and off the shelf cameras to register and subsequently identify even visually indistinguishable objects with statistical certainty. This novel capability delivers supply chain intelligence and ensures product authenticity, for producers of industrial parts, pharmaceuticals, semiconductors, additive manufactured parts, precious metals, documents, and luxury goods and other high value assets.
"I'm going to show you a fake bag so you can see how spectacular an imitation can be." Lucía De La Calle, is an appraiser at the second-hand luxury handbags boutique Del Páramo Vintage in Valladolid, in northwest Spain. She shows EL PAÍS a Louis Vuitton Twist MM bag, a classic model that the brand wants to make a basic, betting on its reissue year after year in different colors. "I think my eye is quite trained but, often, even I am unable to perceive the difference," says De La Calle. The woman who bought this bag for €2,500 on the second-hand market brought it to the store with the brand's characteristic orange box and authentic dust cover, as well as a copy of the invoice from its previous owner.
This week Adidas is launching personality-based avatars where the characters are generated using artificial intelligence (AI). Adidas has partnered with the cross-app avatar platform Ready Player Me for this project, allowing digital characters to travel the metaverse across 1500 apps and games. The initiative is part of the marketing strategy for Adidas' new Ozword footwear collection based on self-expression and individuality. When users create an avatar on the Digital Ozworld Experience, they have to answer a series of questions. These include their favorite item of the Ozworld collection.
Almost exactly a year ago, Boston Dynamics introduced a new robot called "Stretch." It's not quite as exciting or as terrifyingly adorable as the Hyundai-owned company's Spot robotic dog, but it can make loading, unloading and moving boxes in warehouses a lot easier. Now, Boston Dynamics has announced that Stretch is finally available for purchase. Or, more precisely, it's now accepting reservations for deliveries in 2023 and 2024, because it's sold out throughout the year due to strong pre-order demand. One of the early Stretch customers is DHL, which signed a $15 million deal with Boston Dynamics to equip its warehouses in North America with the robots over the coming years. TechCrunch says Gap and H&M are equipping their warehouses with the robot, as well.
The fashion industry is currently one of the largest industries in the globe. Projections suggest the fashion apparel industry will reach a whopping valuation of $3.3 trillion by 2030. Hence, the way the fashion industry operates today shows a day and night difference from what the industry was two decades ago. As technology has impacted every aspect of human life, the fashion industry began adopting the latest and advanced technologies for better opportunities. For instance, AR try-on technology has managed to change customers' entire shopping experience. That being said, let's check out some technological trends revolutionizing the fashion apparel industry in 2022.
The fashion industry is one of the largest industries globally, constituting two percent of the total global GDP (about $3 trillion). A thriving sector in India, according to the latest study by the Indian Brand Equity Foundation (IBEF), the textile industry is estimated at around $108 billion and was expected to reach $223 billion by end of 2021. The fashion industry employs over 105 million people, directly and indirectly, contributing almost 5 percent to the country's GDP. In fact, the sector is one of the largest contributors to India's export. The industry has gone through its course of milestones and innovations -- from the invention of the sewing machine to the rise of online shopping.
The worldwide need for clothing will propel the apparel industry from US$1.5tn in value in 2020 to US$2.25tn by 2025. The growth of the human population and its demand for clothing is a foregone conclusion, but the ability of manufacturers to meet expectations without overextending themselves is not. Like every other industry, apparel and textiles must learn to serve a growing population while remaining aware of the planet's finite resources. Leveraging artificial intelligence (AI) to meet demand without exceeding the available supply is nothing new. How does it apply to apparel manufacturing?
At the first glance, fashion – that is typically pushed by art, instinct, and creativity- looks as though it would not be a likely match for a clinical, analytical, and logic-driven technology like artificial intelligence. However, AI technology holds extremely good scopes for the fashion industry because of the massive facts set around ancient fashion trends, income patterns, marketplace swings, and customer preferences. For instance, did the global recession in 2009 impact people's style of experience and buying behavior? These are evaluations that might yield interesting effects and even higher yet, expect destiny behavior and income in reaction to worldwide events. When it involves AI in the fashion industry, the technology is enhancing nearly every element of the industry's functioning, in particular e-commerce.