Can AIGC design replace real designer design?
Table of contents
2. Can AIGC design replace real designers?
1.1. Traditional designer design
(3) Emotional resonance and business perspective
3.2. Some ways how AIGC can make design drawings more outstanding
4. What are the advantages of AIGC, and in what aspects can it be better optimized?
1. The words written in front
The recent Internet buzzword has been officially diagnosed as... "Morning F and Late E", which describes people nowadays who work hard during the day and shout to fight, but are often confused and in an EMO state at night.
In fact, this can also be said to be a status quo for most people. They often get lost in two extreme emotional states during the day and at night. At night, they are exhausted, feel confused about the way forward, have extremely low self-esteem, extremely deny themselves, and are severely depressed. surrounded by attacks of frustration. Sometimes I feel very sleepy and want to sleep but cannot. I finally force myself to fall asleep but cannot enter a deep sleep state. However, after waking up every day, my mood will suddenly become brighter. I feel energetic and full of fighting spirit. Those setbacks and failures are not a big deal.
Often such people give people a happy external impression, but in fact they are suffering from boundless pain on the inside. Everyone has moments of confusion, anxiety, and entanglement. No matter what the cause is, if you happen to have such relatives and friends around you, even if they are ordinary friends you are not familiar with, don't have the mentality of laughing and watching the fun, it is not easy. If you have the opportunity, you must give them more care and companionship, and try to understand them.
Don't put your emotional switch in the hands of people who deny you and criticize you. I'm still learning, so let's work together!
Love life with people who like you.
See the world clearly with people who don't like you.
I'm fine, I don't need anyone to do anything for me, don't listen to any rumors, don't be fooled.
Please take care of yourselves and those around you and let me reassure you that is the most important thing.
Sober in adversity
2023.9.15
2. Can AIGC design replace real designers?
Before answering this question, let’s first take a look at the comparison of the design effects of traditional designers and artificial intelligence AIGC designs under the same ancient Egyptian theme. (The picture comes from the Internet, the address is in the appendix, no infringement is intended, it is only used as an example in the article)
1.1. Traditional designer design
In December 2018, at the "Paris-New York" high-end handicraft workshop series conference, Galeries Lafayette showed us a wave of golden CHANEL FASHION inspired by the mysterious ancient Egyptian culture, bringing the show into a museum.
Chanel's timeless style elements combine with the intricate hieroglyphs of ancient Egypt and symbols of the sun and animals, shining like molten gold. A graphic knitted silhouette complements a skater dress layered with double denim, while a striped sand goddess evening dress has a gorgeous metallic collar and cuffs like a Bond girl.
Lucia Pica, Chanel's Global Makeup Creative and Color Design Director, used her creativity to create cat-scratch-like curved eyeliners in white or navy blue on the eyes of Adesuwa, Kaia Gerber and other models. In its dazzling brilliance, it shows its otherworldly and moving beauty.
The brilliant golden tone is the one that best highlights the ancient Egyptian style. It can fully demonstrate the sense of nobility and gorgeousness. In terms of craftsmanship, Chanel's classic tweed jacket still runs through the entire show. Coupled with the unique touch in tailoring, every piece of clothing looks like a work of art, which is very shocking.
The clothing texture patterns mostly use Egyptian traditional polygons, rhombuses, waves and other abstract geometric patterns, which are quite artistic.
1.2. AIGC design
In April, "AI Fashion Week" was held in New York. This is a collision between artificial intelligence aesthetics and human aesthetics.
Not only are the models very vivid, but even the styling design is full of exotic style, which is stunning at first sight.
Image source: https://www.163.com/dy/article/IC7KP9F60538P65G.html
1.3. Related concepts
AIGC:
AIGC (Artificial Intelligence Generated Content) , as a new content generation method, is gradually becoming one of the main forces in content generation in the future.
AIGC refers to content automatically generated by artificial intelligence algorithms, which usually includes text, pictures, audio, video and other forms. Compared with traditional manual creation methods, AIGC can quickly and accurately generate a large amount of high-quality content, greatly improving the efficiency and effect of content generation.
At present, AIGC has been applied to various fields. In the field of news, more and more media are beginning to use AIGC to automatically generate news articles to improve news production efficiency and shorten news reporting time. In the field of advertising, AIGC can automatically generate customized advertising content based on user behavior and preferences to improve advertising effectiveness. In the field of e-commerce, AIGC can automatically generate personalized product recommendations based on users' search history and purchase records to improve users' shopping experience.
AIGC has various application methods, including the following:
(1) Automated writing: AIGC can generate various types of text content such as articles, blogs, news reports, etc., thereby realizing automated writing.
(2) Machine translation: AIGC can translate one language into another language to improve translation efficiency and translation quality.
(3) Speech synthesis: AIGC can simulate human speech, generate speech synthesis technology, and realize text-to-speech.
(4) Image generation: AIGC can generate various types of images, including photos, illustrations, artworks, etc.
(5) Video generation: AIGC can use image synthesis technology to generate various types of videos, including animations, advertisements, dramas, etc.
(6) Intelligent customer service: AIGC can simulate human language communication and use natural language processing technology and machine learning algorithms to achieve automated customer service.
(7) Personalized recommendations: AIGC can analyze user data, behavior and historical preferences, recommend personalized content and products, and improve user experience.
(8) Data analysis: AIGC can conduct in-depth learning and analysis of large amounts of data, discover patterns and trends hidden in the data, and support business decisions and predictions.
(9) Intelligent navigation: AIGC can combine maps, traffic data and user needs to provide intelligent navigation and route planning.
(10) Safety monitoring: AIGC can use monitoring, sensor and other technologies to conduct safety monitoring and early warning of places, equipment, etc.
1.4. Viewpoint analysis
The stunning AIGC creations of AI Fashion Week are actually not very popular in the current AIGC environment, but it announces the infinite possibilities of high-end applications of AIGC in the artificial intelligence wave. It brings great inspiration and innovation to the design industry, and is expected to improve the digitalization level and design and manufacturing efficiency of the industry.
(1), aesthetic perspective
Designers have unique aesthetic abilities, thinking and creative abilities.
AI is essentially an algorithm. AI can quickly generate results, but the results cannot be predicted.
Compared with algorithmic tools, design capabilities and design thinking itself are more important.
Comparison chart between AIGC creative design and human designer creative design:
David Holz, the founder of Midjourney, once mentioned in an exclusive interview with the media that AI is constantly producing new aesthetics, almost like "aesthetic accelerationism." "But they are not artificial intelligence aesthetics, but new and interesting human aesthetics. I think they will spill over into the real world."
According to McKinsey analysis, in the next three to five years, "conservatively speaking", generative AI may help create an increase in operating profits of US$150 billion in the clothing, fashion and luxury goods industries, with optimistic estimates reaching as high as US$275 billion.
Compared with traditional software learning, AI tools are simple to use and easy to get started. If designers want not to be eliminated by AI, they must keep up with the pace of technological development, master and use AI tools, and make AI technology a part of their expertise. Proper use of tools can reduce the difficulty of your work, improve work efficiency, avoid duplication of work, and better utilize your creative abilities.
(2) Copyright perspective
The AI tools at the current stage are created according to the needs of users through model training and a large amount of learning materials. In this process, it is inevitable that some works will be produced that are similar to the original works, and will encounter resistance from some original authors.
It is reported that "Thousands of painters from ArtStation, a world-renowned visual art website, launched a boycott to prohibit users from putting their paintings into the AI painting system. ArtStation believes that allowing the system to learn to imitate paintings is a copyright infringement."
In terms of practical application, it is still difficult to determine whether AI paintings constitute infringement of the copyright of other painters. In order to avoid copyright risks, large paid libraries such as Getty Images and Shutterstock no longer accept AI paintings generated by Stable Diffusion, Midjourney, etc. "
Copyright ownership of design works can be divided into several situations:
1: For works designed privately by a designer, the copyright belongs to the designer.
2: For works commissioned by designers, the copyright belongs to the entrusted party (i.e. the designer) if there is no agreement or agreement. If there is an agreement, the copyright will be handled according to the agreement. (So if you receive a request for commissioned creation, you can discuss the ownership of the copyright and then sign a contract to fix it. This can avoid subsequent disputes)
3: Works designed by designers to complete company tasks are usually copyright-aware companies that may stipulate the copyright ownership of employee works in the labor contract. If there is an agreement, it shall be followed. In the absence of an agreement, it is a professional work or a legal person's work.
With the advancement of technology, AI has posed new challenges to the intellectual property system. AI creation requires a huge database of human works as training samples. The algorithm uses a large number of algorithms to learn the creative styles and content themes of existing works to produce corresponding AI works. When AI creates its own paintings, articles, animations, songs, etc., how is its copyright defined?
The copyright issue of AI creation involves two aspects. One is that the content created by AI involves infringement of the copyright of others, and the other is that the content created by AI is infringed by others even though it is protected by copyright.
According to copyright law, if AI-created works are used for personal study and research purposes, they can constitute fair use and will not constitute infringement.
This involves the attribution of users of AI works that may have infringement issues, whether it is the AI itself or the actor behind the AI who is using it. Subjects who may claim rights to AI creations may include the AI inventor, the company to which the AI belongs or its investors, or the specific operator of the AI, etc. They may all be the persons claiming rights. There is still disagreement on whether the corresponding behaviors of these people are in line with the purpose of personal learning and appreciation.
In May 2019, China’s first dispute over AI creation copyright occurred, and the AI creation content was ruled not to have copyright.
(3) Emotional resonance and business perspective
The designer’s emotional resonance is the origin and core of design. Designers can generate more emotional resonance with users based on different cultural backgrounds, emotions, languages, actual and virtual environments, etc., and produce exclusive design solutions to meet user needs, or optimize solutions based on specific products to meet user needs. need.
AIGC creative works can input some specified required behaviors during training. Although the visual expression of some generated works seems acceptable at first glance, no matter how advanced the tools are, they cannot replace professional skills. At this stage, AIGC creative works cannot make themselves independent from software. Jumping from the level to the level of thinking, careful analysis will reveal that many AIGC creative works lack thinking about usage scenarios, product thinking, visual aesthetics, user groups, business goals, commercial thinking, and interaction logic, and the output solutions may not be in line with the actual scenarios.
With the upgrade of AI, intelligent UI tools may become more and more perfect, but if they are to be truly applied in business, designers still need to participate in order to ensure that the solution meets business goals and user needs. Let designers participate, conduct analysis based on the demand background, refine selling points and user groups, plan the direction of generation, and use unique insights and aesthetic abilities to produce more, better, and higher-quality results to satisfy customers.
The development of AIGC will have a certain impact on the work of designers, but it cannot completely replace designers, and more of it assists designers in their work.
3. What is your T-shirt design concept? ((Attach a picture of your work), how does AIGC make your design drawings more outstanding?
3.1. T-shirt design concept
space odyssey
Human beings have been curious about the universe since ancient times. Cosmic wandering refers to travel and exploration in space.
The purpose of the cosmic odyssey is to gain a deeper understanding of the origins and development of the universe, the Earth, and ourselves, and to search for signs of other alien life forms.
This exploration can include human travel to other stars, moons and planets, as well as the exploration of celestial bodies such as galaxies and nebulae in outer space.
Each planet has its own unique laws. It is an unknown world to us, full of infinite surprises and mysteries. Time, for example, is a very interesting variable. Regardless of the time dimension, in just one dimension of time, different planets have different dose values.
It takes 24 hours for the earth to make one revolution, and it takes 648 hours for the moon to make one revolution. From a certain perspective, one year has passed on our earth, but only 12 days have passed on the moon. It’s funny.
Space roaming requires the use of advanced technology and scientific knowledge, including rockets, space capsules, planetary probes, satellites and other equipment. At the same time, because the space environment poses great challenges to human life, rigorous physical and biological experiments and research are required to ensure the safety and feasibility of space roaming.
Through the experience and technology of space roaming, we can better respond to the challenges facing the earth, such as climate change, resource shortages, and environmental pollution.
My theme is:
An angel with wings, no stunning appearance, ordinary and ordinary, came from the universe to bring warmth and encouragement, telling us the true nature of the universe - equality, peace, kindness, mutuality respect!
This design is based on Stable Diffusion to generate various related picture materials, and then processed and synthesized through PS.
3.2. Some ways how AIGC can make design drawings more outstanding
As an AI graphics computing tool, AIGC can help designers create and edit graphics and images more quickly while improving the quality and visual effects of graphics. Here are some of the ways AIGC makes your design drawings stand out:
1. Automate the design process: AIGC can use AI technology to automate some routine and repetitive tasks, such as selecting color schemes, typesetting, shape adjustment, etc., so that you can complete the design work faster.
2. Graphic enhancement: AIGC's image processing algorithm can enhance the quality of the image, such as adjusting brightness, contrast, color balance, etc., thereby making the image more visually appealing.
3. Creative elements: AIGC can generate different creative elements, such as patterns, lines and graphic shapes, etc. These elements can make your design more personalized and unique.
4. Visual optimization: AIGC can automatically adjust the clarity, sharpness, color, contrast, etc. of the image according to design needs to ensure that the image has the best visual effect on different devices and screens.
4. What are the advantages of AIGC, and in what aspects can it be better optimized?
AIGC (AI Generated Content) has some distinct advantages and disadvantages:
AIGC advantages:
1. Automation and efficiency: AIGC technology can automatically generate large amounts of content, thereby improving production efficiency. Compared with traditional manual creation methods, AIGC can generate a large amount of content in a short time, saving human resources and time costs.
2. Creative expansion and diversity: AIGC can provide creators with new space for creative expansion. By learning and analyzing large amounts of data, AIGC is able to produce innovative content that is different from traditional creative methods, thereby enriching the diversity of creation.
3. Large-scale personalization and customization: AIGC technology can generate personalized content based on user needs and preferences. By analyzing user data and behavioral patterns, AIGC is able to provide customized experiences to meet users' specific needs.
4. Scalability and flexibility: AIGC technology can be applied to various media forms, such as text, images, audio and video, etc. It can adapt to the needs of different fields and application scenarios, and has high scalability and flexibility.
Insufficient AIGC:
1. Lack of originality and creativity: Although AIGC can generate a large amount of content, it may lack true originality and creativity. Since AIGC generates content by learning existing data and patterns, it may not be able to create completely new and unique ideas.
2. Potential moral and ethical issues: The application of AIGC has also raised concerns about some moral and ethical issues. For example, AIGC may be used to create false information, abuse copyright, or invade privacy, and requires careful use and supervision.
3. Depends on data quality and training samples: The quality and effectiveness of AIGC largely depend on the quality of data used for training and the diversity of training samples. If the training data is biased or insufficient, the content generated by AIGC may be problematic or of poor quality.
4. The need for manual participation and supervision: Although AIGC has the ability to automatically generate content, manual participation and supervision are still necessary. Human creators play a key role in guiding, editing, and moderating the generated content, ensuring its accuracy, legality, and quality
5. Reference materials
https://www.chanel.cn/cn/fashion/news/2018/12/chn-the-paris-new-york-show-by-laura-bailey-alias.html
https://www.onsiteclub.com/case/CHANEL-Metiers-dArt-2018-19-Paris-New%20York-2018-12-4
https://www.163.com/dy/article/IC7KP9F60538P65G.html
https://zhuanlan.zhihu.com/p/109447601
https://www.zhihu.com/question/399937924/answer/2872300165
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