Fashion designFashion design is the creative process of assembling clothing and accessories by cutting, sewing, and adorning materials like textiles and leather with aesthetic elements like patterns, motifs, shapes, cuts, and colors from various cultures. Fashion design is the craft of fashion designers who create clothing, accessory, and jewelry for consumers, according to cultural and aesthetic influences, fashion styles, market trends, locations, seasons, and consumer segments.
FashionFashion is a term used interchangeably to describe the creation of clothing, footwear, accessories, cosmetics, and jewellery of different cultural aesthetics and their mix and match into outfits that depict distinctive ways of dressing (styles and trends) as signifiers of social status, self-expression, and group belonging. As a multifaceted term, fashion describes an industry, styles, aesthetics, and trends.
Fast fashionFast fashion is the business model of replicating recent catwalk trends and high-fashion designs, mass-producing them at a low cost, and bringing them to retail stores quickly while demand is at its highest. The term fast fashion is also used generically to describe the products of the fast fashion business model. Fast fashion grew during the late 20th century as manufacturing of clothing became less expensive — the result of more efficient supply chains and new quick response manufacturing methods and greater reliance on low-cost labor from the apparel manufacturing industries of South, Southeast, and East Asia, where women make up 85-90% of the garment workforce.
Creative industriesThe creative industries refers to a range of economic activities which are concerned with the generation or exploitation of knowledge and information. They may variously also be referred to as the cultural industries (especially in Europe) or the creative economy, and most recently they have been denominated as the Orange Economy in Latin America and the Caribbean. Howkins' creative economy comprises advertising, architecture, art, crafts, design, fashion, film, music, performing arts, publishing, R&D, software, toys and games, TV and radio, and video games.
History of fashion designHistory of fashion design refers specifically to the development of the purpose and intention behind garments, shoes ,accessories, and their design and construction. The modern industry, based around firms or fashion houses run by individual designers, started in the 19th century with Charles Frederick Worth who, beginning in 1858, was the first designer to have his label sewn into the garments he created. Fashion started when humans began wearing clothes. These clothes were typically made from plants, animal skins and bone.
Sustainable fashionSustainable fashion (also known as eco-fashion) is a term describing products, processes, activities, and people (policymakers, brands, consumers) that aim to achieve a carbon-neutral fashion industry built on equality, social justice, animal welfare, and ecological integrity. Sustainable fashion concerns more than fashion textiles or products, rather addressing the entire process in which clothing is produced, consumed and disposed of.
Italian fashionItaly is one of the leading countries in fashion design, alongside France, the United States and the United Kingdom. Fashion has always been an important part of the country's cultural life and society, and Italians are well known for their attention to dress; la bella figura, or good appearance, retains its traditional importance. Italian fashion became prominent during the 11th to 16th centuries, when artistic development in Italy was at its peak.
French fashionFashion in France is an important subject in the culture and country's social life, as well, being an important part of its economy. Fashion design and production became prominent in France since 15th century. During the 17th century, fashion exploded into a rich industry, for exportation and local consumption. In the 19th century, fashion made a transition into specialisation for modern term haute couture, originated in the 1860s, bringing good taste to fashion argot.
Fashion weekA fashion week is a fashion industry event, lasting approximately one week, where fashion designers, brands or "houses" display their latest collections in runway fashion shows to buyers and the media. These events influence the upcoming fashion trends for the current and approaching seasons. The most prominent fashion weeks held in the fashion capitals of the world—in chronological order, New York City, London, Milan, and Paris, or the "Big Four", showcase exquisite creations from the most vaunted fashion designers and receive global media coverage.
Creative problem-solvingCreative problem-solving (CPS) is the mental process of searching for an original and previously unknown solution to a problem. To qualify, the solution must be novel and reached independently. The creative problem-solving process was originally developed by Alex Osborn and Sid Parnes. Creative problem solving (CPS) is a way of using creativity to develop new ideas and solutions to problems. The process is based on separating divergent and convergent thinking styles, so that one can focus one's mind on creating at the first stage, and then evaluating at the second stage.
Fashion capitalA fashion capital is a city with major influence on the international fashion scene, from history, heritage, designers, trends, and styles, to manufacturing innovation and retailing of fashion products, including events such as fashion weeks, fashion council awards, and trade fairs that together, generate significant economic output. With exquisite fashion heritage, structured organization, and the most vaunted fashion designers of the last century, four cities are considered the main fashion capitals of the 21st century.
Generative artificial intelligenceGenerative artificial intelligence (AI) is artificial intelligence capable of generating text, images, or other media, using generative models. Generative AI models learn the patterns and structure of their input training data and then generate new data that has similar characteristics. In the early 2020s, advances in transformer-based deep neural networks enabled a number of generative AI systems notable for accepting natural language prompts as input.
Stable DiffusionStable Diffusion is a deep learning, released in 2022 based on diffusion techniques. It is primarily used to generate detailed images conditioned on text descriptions, though it can also be applied to other tasks such as inpainting, outpainting, and generating image-to-image translations guided by a text prompt. It was developed by researchers from the CompVis Group at Ludwig Maximilian University of Munich and Runway with a compute donation by Stability AI and training data from non-profit organizations.
Generative adversarial networkA generative adversarial network (GAN) is a class of machine learning framework and a prominent framework for approaching generative AI. The concept was initially developed by Ian Goodfellow and his colleagues in June 2014. In a GAN, two neural networks contest with each other in the form of a zero-sum game, where one agent's gain is another agent's loss. Given a training set, this technique learns to generate new data with the same statistics as the training set.
Creativity techniquesCreativity techniques are methods that encourage creative actions, whether in the arts or sciences. They focus on a variety of aspects of creativity, including techniques for idea generation and divergent thinking, methods of re-framing problems, changes in the affective environment and so on. They can be used as part of problem solving, artistic expression, or therapy. Some techniques require groups of two or more people while other techniques can be accomplished alone.
Generative modelIn statistical classification, two main approaches are called the generative approach and the discriminative approach. These compute classifiers by different approaches, differing in the degree of statistical modelling. Terminology is inconsistent, but three major types can be distinguished, following : A generative model is a statistical model of the joint probability distribution on given observable variable X and target variable Y; A discriminative model is a model of the conditional probability of the target Y, given an observation x; and Classifiers computed without using a probability model are also referred to loosely as "discriminative".
Qualitative researchQualitative research is a type of research that aims to gather and analyse non-numerical (descriptive) data in order to gain an understanding of individuals' social reality, including understanding their attitudes, beliefs, and motivation. This type of research typically involves in-depth interviews, focus groups, or observations in order to collect data that is rich in detail and context. Qualitative research is often used to explore complex phenomena or to gain insight into people's experiences and perspectives on a particular topic.
Generative grammarGenerative grammar, or generativism ˈdʒɛnərətɪvɪzəm, is a linguistic theory that regards linguistics as the study of a hypothesised innate grammatical structure. It is a biological or biologistic modification of earlier structuralist theories of linguistics, deriving ultimately from glossematics. Generative grammar considers grammar as a system of rules that generates exactly those combinations of words that form grammatical sentences in a given language.
Space explorationSpace exploration is the use of astronomy and space technology to explore outer space. While the exploration of space is carried out mainly by astronomers with telescopes, its physical exploration is conducted both by uncrewed robotic space probes and human spaceflight. Space exploration, like its classical form astronomy, is one of the main sources for space science. While the observation of objects in space, known as astronomy, predates reliable recorded history, it was the development of large and relatively efficient rockets during the mid-twentieth century that allowed physical space exploration to become a reality.
Generative pre-trained transformerGenerative pre-trained transformers (GPT) are a type of large language model (LLM) and a prominent framework for generative artificial intelligence. The first GPT was introduced in 2018 by OpenAI. GPT models are artificial neural networks that are based on the transformer architecture, pre-trained on large data sets of unlabelled text, and able to generate novel human-like content. As of 2023, most LLMs have these characteristics and are sometimes referred to broadly as GPTs.
