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iFoto Unveils Revolutionary AI Clothes Changer Feature
Change clothes in seconds with iFoto AI clothes changer. The outfit generator can change clothes according to your description in seconds. HONG KONG, June 28, 2024 /PRNewswire/ -- iFoto, the leader in innovative image enhancement solutions, proudly announces the launch of its cutting-edge AI Clothes Changer feature, available from June 20th, 2024. This pioneering tool is set to revolutionize the way individuals and professionals edit and customize clothing in photos, offering unprecedented versatility and ease of use. Key Features and Uses of iFoto's AI Clothes Changer: Virtual Try-On: Users can now effortlessly upload their photos and virtually try on a wide variety of outfits, styles, and clothing items without the need to physically change clothes. This AI fashion model feature provides a seamless shopping experience, enabling users to make informed fashion choices from the comfort of their homes. Outfit Customization: iFoto's AI outfit generator allows users to change colors, patterns, and styles of clothing in their existing photos. Whether it's a simple color swap or a complete style overhaul, users can now experiment with endless possibilities. Professional Image Editing: Transform casual outfits into professional attire for headshots or business photos with ease. This feature is perfect for professionals looking to update their portfolio or LinkedIn profile without the need for a costly photoshoot. Fashion Design: Designers can now quickly visualize different patterns, colors, and styles on clothing without needing to create physical samples. This speeds up the design process and reduces material waste, making it an eco-friendly solution for the fashion industry. Costume Visualization: Users can preview Halloween costumes or other themed outfits directly on their photos, helping them make the best choices for parties and events. Color Swapping: Change the color of clothing items in photos while maintaining realistic textures and lighting. This feature is ideal for anyone looking to freshen up their wardrobe or design portfolio. Versatility: The AI Clothes Changer supports a wide range of clothing items, from shirts and dresses to jackets and accessories, ensuring comprehensive editing capabilities. Ease of Use: Designed with user-friendliness in mind, the AI Clothes Changer requires just a few simple steps to generate altered images. Users of all skill levels can now enjoy professional-grade editing. Accessibility: Available both online and as a mobile app, iFoto's AI Clothes Changer is easily accessible, ensuring that users can edit their photos anytime, anywhere. "At iFoto, we are committed to pushing the boundaries of what is possible with AI technology," said Lewis Owen, CEO of iFoto. "Our new AI Clothes Changer feature exemplifies this commitment by providing users with a powerful, yet easy-to-use tool for transforming their photos and exploring new fashion possibilities." Experience the future of photo editing with iFoto's AI Clothes Changer, and discover a new level of creativity and customization in your images. iFoto AI image editor is a leading provider of AI-driven image enhancement solutions, dedicated to offering innovative tools that empower users to create stunning visual content. With a focus on user-friendliness and cutting-edge technology, iFoto continues to set new standards in the field of photo editing. View original content to download multimedia:https://www.prnewswire.com/news-releases/ifoto-unveils-revolutionary-ai-clothes-changer-feature-302185738.html
IT News Online
Fri, 28 Jun, 6:08 PM UTC
Fashion Gets a Generative AI Makeover
Generative AI is changing fashion for the better. One stellar example is Google software engineer Christina Ernst, who triggered a discussion on social media after she created the "world's first AI dress." "I engineered this robotic snake dress, and it is finally done," Ernst said in the description of her video. "I coded an optimal mode that uses artificial intelligence to detect faces and moves the snake head towards the person looking at you. So, maybe this is the world's first AI dress. Surveillance state, but make it fashionable," she added. The black dress features several robotic snakes, with one around her neck specifically. After Ernst architected this, the techie's Instagram video became the talk of the town on social media. Netizens were quick to react and comment, highlighting her unique idea. However, this is not the first time that an AI-designed outfit has been produced. AI algorithms generate innovative styles, inspiring designers and making high fashion more accessible and diverse for everyone. They democratise design, allowing everyone to bring ideas to life and fostering inclusivity. For example, Bewakoof, a popular Indian apparel brand, partnered with Google Cloud at the Google Cloud Summit India 2024 to use Gemini AI to create new content. The collaboration includes an AI T-shirt designing tool for custom artwork. While the Google engineer gained viral attention, there have been a number of remarkable innovations where AI, not necessarily GenAI, has significantly influenced the fashion industry; one that made major headlines is when Zac Posen partnered up with Google to make a unique LED gown. Maddy Maxey, a fashion engineer and mentor at Made with Code, aided in the design of the dress, a Google-backed initiative. The dress was designed with a circuit infused into the textile to create different animations. "Wearable technology was becoming popular in the tech industry back then, with many pumping investments in this particular sector. Google was already betting on its growing importance," said Posen. Another notable example is Iris van Herpen's entry into the world of AI with the debut of her FW23 campaign, which showcases a couture collection that imagines a new world. "Our creative process was exceptionally inspiring, allowing us to dream up our references to the deep sea life we had seen and even my archive that we trained the AI with. So, by teaching the AI my design DNA and the more historic architecture references, it got better 'dreams'. It was very inspiring to see how marvellous Rob Rusling and his team are with AI, it brings a whole new dimension to fashion editorial," said Herpen. While designers use AI to create costumes, there's a company by the name Fabricant, founded by Kerry Murphy in 2018, that leads the digital-only fashion frontier, seamlessly blending technology and fashion to transform traditional craftsmanship. Committed to high-quality premium experiences, their platform reshapes the fashion landscape with innovative co-creation and visually striking encounters. Embracing sustainability and equity, The Fabricant creates an ecosystem where creativity thrives, redefining identity in fashion. Back in 2016, for the Manus x Machina-themed Met Gala, IBM and Marchesa unveiled a cognitive dress, a first-of-its-kind garment with cognitive inspiration woven into every step of the creative process - from concept and R&D to design and finished product. This collaboration showcased the creative potential of building with Watson and the ability of this technology to enhance human imagination. At Paris Fashion Week 2023, Humane Pin was designer Coperni's latest buzzy tech name to be included. It was pinned on the clothes of multiple Coperni models during its presentation, which generated considerable buzz. AI has been reshaping industries for decades, and fashion is no exception. Generative AI, including LLMs and other models, is a particularly exciting development. Brands like The Fabricant and Rebeca Minkoff use AI to create digital clothing designs, enabling rapid prototyping and creative exploration. GANs generate new fashion designs by blending styles from a large dataset of existing designs. The fashion industry has been using AI for quite some time, but many more brands have hopped onto the AI bandwagon in the last couple of years. A few of them include G-Star Raw's March campaign, which used AI to reimagine denim, releasing its first denim couture piece designed with Midjourney. Maison Meta collaborated on its first AI-powered campaign in February with machine-generated images for London Fashion Week, and Levi's took the potential of AI one step further in March by using it to create a series of inclusive digital models for its e-commerce site. McKinsey analysts say that Generative AI could add anywhere from $150 billion to $275 billion in profits to the fashion industry by 2030. But AI prediction isn't just for trend forecasting firms. For example, fast fashion behemoth H&M employs more than 200 data scientists to track purchase patterns and other store trends to map customer demand at a granular level. Similarly, Sweden's Zara also uses AI algorithms to identify patterns and predict which styles are likely to become popular in the future. Amazon enables customers to upload an image, and its AI-powered tool finds similar styles on Amazon, considering factors like brand, price, and user preferences. L'Oréal's ModiFace allows users to virtually try on makeup using facial recognition and AR, giving them a highly personalised shopping experience. Even back home, we have e-commerce giants using AI. Myntra, the e-commerce platform, introduced 'Maya', its premier virtual fashion influencer. According to Sunder Balasubramanian, Myntra's Chief Marketing Officer, "Maya, a distinctive figure of Myntra Fashion Forward (FWD), will function as an influencer on social media and also be part of Myntra's own social commerce on the Myntra Studio platform." Last year, we saw fashion brands in the experiment stage with AI. However, the shift is happening at a faster rate now as companies are moving from POCs to production this year.
Analytics India Magazine
Sun, 7 Jul, 8:01 AM UTC
Virtual Try-Ons Revolutionize Fashion Industry and Job Market
Virtual try-on technology is transforming the fashion industry, offering enhanced shopping experiences and reshaping job roles. This innovation promises to reduce returns, increase sales, and create new opportunities in the fashion sector.
2 Sources
Fri, 12 Jul, 12:03 AM UTC
Fashion brand Mango launches AI-generated photorealistic campaign
European fashion brand Mango has unveiled an AI-generated image campaign for its limited-edition Sunset Dream collection from its youth line. According to a press release, the campaign is the result of a collaboration between "design, art and style, training of Mango Teen's datasets and AI models and its photography studio, among others." The process began with a photographer taking "real photos" of the collection's garments. The real images were then fed into a generative AI model that had been trained to correctly position the actual garments. Mango explains that the biggest challenge was to achieve images of the same editorial quality as a standard fashion campaign with real models. The images were "retouched, edited and mastered" by the in-house photography studio. "This initiative reflects our continued commitment to innovation and our desire to be at the forefront of the fashion world," says Jordi Alex, Mango's Director of Information Technology. "Artificial intelligence is a technological revolution that presents great opportunities and should serve as a co-pilot to extend the capabilities of our employees and further amplify our creativity. Because either technology will make us more human, or it will not make us more human." What's striking about the few images Mango has released is their realism. The AI-generated images look like real photos taken in the medina of Marrakech, Morocco; there's no way to identify them as synthetic. Viewers could easily glance at the image without knowing it's AI-generated. "Any brand that produces AI-generated advertising campaigns begins to question the authenticity, integrity and most importantly the honesty of that brand," says Iain Philpott on X (formerly Twitter). "It's all fake news. Where does it end?" Mango affirms its commitment to innovation and claims that this is the first fashion campaign generated entirely by artificial intelligence. The Barcelona-based company claims to have "more than fifteen different platforms that apply artificial intelligence at different points in its value chain, such as pricing and customization." Mango says it already uses an AI image generator to help it design clothes and find inspiration not only for clothing, but also for its window dressing, architecture and interior design.
ExBulletin
Wed, 17 Jul, 6:03 AM UTC
Mid-Day 45th Anniversary Special: A trial room on my screen
A start-up is using AI to reimagine online shopping through storytelling, while also aiming to reduce returns of apparel. We test it out on a smartphone With denims getting wider, and T-shirts becoming baggier, Gen-Z fashion is known to prioritise comfort, community-building, and sustainability. The generation born into a digital world thrives on e-shopping. But often, it takes one click on the 'return' option to send their sustainability goals down the drain, in a landfill. ADVERTISEMENT Reports claim that over five billion pounds of waste is generated through returns. The problem, Roshan Raju, co-founder of start-up Imersive, believes is usually with sizing. "Brands lose over $200 billion on returns [of apparel] annually. Of this, 66 per cent returns are related to sizing concerns," shares the Chennai-based 26-year-old, who is working on reimagining e-commerce through Augmented Reality (AR), WebXR, and Artificial Intelligence (AI). Of the three products released since the company's inception in July last year, the most recent one provides a solution to reduce returns caused by sizing, while also enhancing and gamifying the overall online shopping experience. Raju holds up the phone as this writer stands in front of the camera to begin recording To try it out, this writer meets the young entrepreneur at a five-star lobby in Bandra. When we hear of technological jargon like AR, WebXR and AI, we expect a full set-up, and devices and equipment like VR headsets. However, Raju turns up with just his mobile phone. The idea is to make e-shopping more efficient without needing extra devices other than the ones that are already being used by the consumers. "Our products are in plug-in and play format. You don't need separate apps either. The website you wish to purchase apparel from will plug us in, and you will be able to use the feature on your phone," he explains. The focus is equally on saving the consumer's time. With a click on a link, and after giving essential log in details, we are ready to be sized within ten seconds. Raju clicks on a T-shirt, enters our height, and asks us to stand in front of the camera. We rotate twice, and the AI is ready with our measurements and the recommended size to buy for the selected T-shirt as per the brand size. These measurements include everything from shoulder breadth, hip, neck, waist and chest circumference, to head, bicep, wrist, calf and ankle circumference. "As you rotate, AI makes a 3D model of you, and sends the readings to our set-up in the office [in Chennai]. No matter what clothes you wear, the system will be able to measure you with a possible difference of half cm. We guarantee 90 per cent accuracy -- which is also what people look for in ready-to-wear clothes," he suggests. The product also lets you edit the measurement if you prefer looser/ tighter fits or know your exact measurements. While this product was first demonstrated in Bandra at streetwear festival All You Can Street earlier this year, Raju gives us a glimpse of another product. The AI tool takes 10 seconds to record and read your measurements This one, he says, caters to both online and offline shopping. "Imagine you're in a mall, and pass by a mirror outside a store. You pause to catch a sneak of how you look, but what you see on yourself are not the clothes you initially wore, but a pair of new launches by the store," Raju says. He turns on his front camera, and shows us how that works. The writer selects a sweatshirt, and our clothes change on screen. "This feature will show you how you will look in the selected apparel, if it fits right, is according to your liking, etc, in real time. It will also display if the product is available in your size. All that's left to do then is purchase it from the counter," he explains. The size chart includes elaborate measurements for chest, height, hips, ankle and wrist circumference, among others. It also recommends the size to buy for the selected apparel While AI is being explored in various fields, very few are taking it ahead in fashion in the country, Raju notes. "Most of my clients are from Mumbai. If you were to ask me, I'd say Mumbai is the fashion capital of India, followed by Delhi. People here are accepting of change and open to experimentation. But the problem with online shopping is that it is flawed. I understood this as a postgraduate student, and hence founded Imersive with Giri [Vedagiri Vijayakumar] to integrate storytelling into fashion through technology." The first product launched by the duo gamifies shopping centres in AR. This could be experienced through VR headsets or your mobile phones globally. It allows you to experience physical shopping online, where you can walk around the virtual store, check out their offerings for sale, make purchases in real time, or hang out in the space. Another product allows you to try on clothes virtually on a mirror or your phone's screen. Pics/Shadab Khan "Online shopping is booming. But returns cause a huge setback to brands. I won't be surprised if they stop accepting returns in the near future. Our products enhance online shopping and allow brands to keep their carbon footprints in check. We chose technology because it isn't just a futuristic tool that might work; it has already proven to work across generations and will continue to do so with innovations like these," Raju amuses us. Five billion pounds of waste generated through returns end up in landfills What is it? Three tools enable size recommendations within ten seconds and gamify online shopping experience through storytelling. How it works? Using WebXR technology, these tools can be accessed globally on smartphones. Who it affects/benefits? Aimed at reducing returns substantially and enhancing online shopping, the tools help fashion labels keep their carbon footprint in check and build a community with their customers.
mid-day
Fri, 26 Jul, 6:03 AM UTC
