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How to Build an AI Fashion Designer

#artificialintelligence

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.


How AI, ML, Big Data are facilitating innovation in the fashion industry

#artificialintelligence

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.


How artificial intelligence applies to apparel manufacturing

#artificialintelligence

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?


TensorFlow New Logo T-Shirt (unisex) • AI Store

#artificialintelligence

This unisex t-shirt with the new TensorFlow 2.0 logo printed on the front is a great choice for all fans of TensorFlow, whether for yourself or as a gift. It is comfortable to wear and sure to get a lot of attention.


I heart machine learning T-Shirt

#artificialintelligence

This basic t-shirt features a relaxed fit for the female shape. Made from 100% cotton, this t-shirt is both durable and soft - a great combination if you're looking for that casual wardrobe staple. Select a design from our marketplace or customize it and unleash your creativity!


How Technology Is Reshaping The Fashion Industry - fashionabc

#artificialintelligence

Estimated to be worth $3T by the end of the decade, per CB Insights' Industry Analyst Consensus, the fashion industry is growing at a fast pace, led by cutting-edge technologies. From robots that sew and cut fabric to AI algorithms that predict style trends, VR mirrors in dressing rooms, shopping off the runway and a number of other innovations show how technology is automating and evolving the industry. In 2016, Google collaborated with online fashion platform Zalando and production company Stinkdigital to launch predictive design engine, Project Muze. The algorithm consisted of a set of aesthetic parameter and trained a neural network to comprehend colours, textures and styles derived from Google Fashion Trends Report and data sourced by Zalando -- to create designs in sync with with style preferences identified by the network. Amazon is taking an algorithmic approach to fashion as well.


Smart Fashion: A Review of AI Applications in the Fashion Apparel Industry

#artificialintelligence

The fashion industry is on the verge of an unprecedented change. The implementation of machine learning, computer vision, and artificial intelligence (AI) in fashion applications is opening lots of new opportunities for this industry. This paper provides a comprehensive survey on this matter, categorizing more than 580 related articles into 22 well-defined fashion-related tasks. Such structured task-based multi-label classification of fashion research articles provides researchers with explicit research directions and facilitates their access to the related studies, improving the visibility of studies simultaneously. For each task, a time chart is provided to analyze the progress through the years.


Smart Fashion: A Review of AI Applications in the Fashion & Apparel Industry

arXiv.org Artificial Intelligence

The fashion industry is on the verge of an unprecedented change. The implementation of machine learning, computer vision, and artificial intelligence (AI) in fashion applications is opening lots of new opportunities for this industry. This paper provides a comprehensive survey on this matter, categorizing more than 580 related articles into 22 well-defined fashion-related tasks. Such structured task-based multi-label classification of fashion research articles provides researchers with explicit research directions and facilitates their access to the related studies, improving the visibility of studies simultaneously. For each task, a time chart is provided to analyze the progress through the years. Furthermore, we provide a list of 86 public fashion datasets accompanied by a list of suggested applications and additional information for each.


Artificial intelligence in the fashion industry

#artificialintelligence

Research being carried out by a research team around Professor Ohbyung Kwon at Kyung Hee University and Dr Christine (Eunyoung) Sung at Jake Jabs College of Business and Entrepreneurship, Montana State University, involves examining consumers' evaluations of fashion products designed using generative adversarial networks (GANs), an Artificial Intelligence (AI) technology. They analyse consumers' buying behaviour and offer practical advice for businesses that are considering using GANs to develop products for the retail fashion market. Artificial Intelligence (AI) technology is changing the retail landscape. Generative AI is being used to produce creative outputs; tasks that have traditionally been considered exclusive to humans. In particular, generative adversarial networks (GANs), an Artificial Intelligence technology, powerful machine learning models that can generate realistic images, videos, and voice outputs, are successfully performing creative tasks previously considered unique to humans.


fAshIon after fashion: A Report of AI in Fashion

arXiv.org Artificial Intelligence

In this independent report fAshIon after fashion, we examine the development of fAshIon (artificial intelligence (AI) in fashion) and explore its potentiality to become a major disruptor of the fashion industry in the near future. To do this, we investigate AI technologies used in the fashion industry through several lenses. We summarise fAshIon studies conducted over the past decade and categorise them into seven groups: Overview, Evaluation, Basic Tech, Selling, Styling, Design, and Buying. The datasets mentioned in fAshIon research have been consolidated on one GitHub page for ease of use. We analyse the authors' backgrounds and the geographic regions treated in these studies to determine the landscape of fAshIon research. The results of our analysis are presented with an aim to provide researchers with a holistic view of research in fAshIon. As part of our primary research, we also review a wide range of cases of applied fAshIon in the fashion industry and analyse their impact on the industry, markets and individuals. We also identify the challenges presented by fAshIon and suggest that these may form the basis for future research. We finally exhibit that many potential opportunities exist for the use of AI in fashion which can transform the fashion industry embedded with AI technologies and boost profits.