Shulou(Shulou.com)11/24 Report--

Search AI painting Mini Program on a short video platform, upload a picture of your pet cat with one click, and wait 25 seconds, what will you get?

It could be a tiger, or it could be. A beautiful girl.

FacePlay's AI painting generation map AI painting is entering human life on a large scale, whether it is the fancy special effects pictures shared by users on short videos, or all kinds of AI painting software that have landed on the market in the past two years are refreshing people's awareness. With delicate brush strokes, exquisite composition and smooth pictures, it is hard to imagine that this is not the work of human beings, and the threshold of digital art has become so low.

Even an unartistic person who enters a few keywords in the AI drawing software and chooses his favorite painting style and perspective can reap many beautiful paintings co-created with AI, only "one click to generate" from a Muggle to a magician. Since the beginning of this year, countless AI paintings have been produced, and artificial intelligence has launched an impact on the field of human art.

The capital market is excited when it comes to the wind. In just one year, global AI painting tools are springing up like bamboo shoots after a spring rain. Internet giants such as Microsoft, Google and Baidu have laid out this field one after another. Startups such as Shiyun Technology, which are responsible for AI painting, have also joined the game.

After AI painting came out of the circle, a not-new topic emerged: will AI replace painters, and will new technologies once again subvert the industry?

But like all emerging technologies, the landing process of AI painting must be full of thorns. On the one hand, AI does not have human thinking, and the handling of the picture is often ironic, such as misplacing the gender of the boys and girls in the photos, dealing with the couple's group photos into "three" pictures, and so on. AI painting technology still has a lot of room for improvement in reading the hearts of the people.

The source of the picture is Douyin. On the other hand, AI painting is still in a copyright fuzzy zone. It is not clear whether the work it produces is art or splicing, and whether the creator is the AI itself or the operator. There are even cases in which artists collectively boycott the AI painting platform and use their works as AI learning materials without authorization.

1. AI painting is popular in 2022, which can be described as the first year of AI painting.

Since the beginning of this year, a series of AI painting tools have made a breakthrough and gradually come into the eyes of the public. At the beginning of the year, Disco Diffusion, an AI drawing program based on Google's technical framework, came to the fore. This tool has a high threshold and slow rendering speed, but with the help of detailed tutorials written by enthusiastic netizens, after changing the parameters in the correct position and setting English instructions, the finished pictures can be checked in dozens of minutes.

The screenshot of Disco Diffusion's official website changes very quickly. In the next few months, the deep generation model DALL-E 2 released by OpenAI has been tested with MidJourney rooted in the Discord community, and it is much easier to operate than Disco Diffusion. In July, Stable Diffusion, a text-to-image model jointly developed by CompVis, Stability AI and LAION, came out. The fineness of AI drawing was raised to the level of works of art, and production efficiency was measured in seconds. At the same time, thanks to the open source nature of Stable Diffusion, global AI drawing products ushered in a rapid development.

Stable Diffusion official website Internet companies, artificial intelligence enterprises are ready to move, seize the time to enter this blue ocean field. Baidu is the first to launch Wen Xin, an auxiliary platform for AI art and creativity, while domestic start-up platforms such as Dream Theater, 6pen and TIAMAT are also very popular on social media.

It has to be said that the value of AI painting and the AIGC track behind it is inestimable. According to the qubit think tank, the market size of AIGC may exceed trillion yuan by 2030.

The capital market is naturally keenly aware of this direction, and companies related to AI painting have frequently received large amounts of financing this year. In October, two startups, Stability AI and Jasper, each received more than $100 million in financing and were both valued at more than $1 billion, becoming two new unicorns. TIAMAT, China's first generative AI platform, also received a multimillion-dollar angel round investment from DCM China in the same month. The company was founded in 2021 and incubated by Shanghai University of Science and Technology.

Source: Tianyancha AI painting is popular in the capital market, but it is faced with controversy in real life. Everything has two sides. When AI painting is updated and improved at a very rapid speed, many people choose to stop and question: is it all reasonable?

At the end of August, game designer Jason Allen competed in the "Digital Art / Digital Photography" project at the Colorado State Fair. He won the first prize in the project with the painting "Space Opera House" painted by AI.

However, compared to flowers and applause, Jason Allen faced a barrage of criticism from netizens and other contestants, many of whom thought "this is cheating." The judges of the competition said that they did not know it was an AI work, but even if they did, they would award it the highest prize.

A global discussion about AI painting kicked off: did AI win the competition and humans lose art?

2. The art of "stealing" AI painting has been burdened with controversy since its birth.

First of all, the underlying logic of AI painting is imitation learning. AI itself does not have the ability to "create". Its rapid progress is based on the data sources of thousands of human works. There is an ethical paradox in which human painters "feed" a large number of image data of paintings to AI,AI for in-depth learning and "steal" human wisdom, which in turn encroach on human beings.

And AI painting imitation learning objects are not only Picasso, Van Gogh, Cezanne and other famous painters, but also the works of contemporary artists. As long as you add the artist's name to Prompt, you can generate paintings that correspond to the characteristics of the style. AI easily imitates and studies the works of artists, but is not allowed to do so.

Wen Xin Yi AI paintings / the shadow of Cezanne's works such as NovelAI, which is popular in the two-dimensional circle, has been protested by a large wave of Japanese painters. The developers of the product continuously improved the AI model using images on Pixiv, a well-known Japanese comic book website, but the developers did not get permission to use the images from the creators.

Similarly, Polish conceptual artist Greg Rutkovsky is also worried about this, and his oil paintings are one of Stable Diffusion's favorite imitations. When he searched for his name on the Internet, his work was submerged in a pile of AI paintings. His name has been used as a keyword by AI more than 93000 times in a month.

Many human artists believe that AI painting's private learning and imitating their painting style is an infringement of intellectual property rights.

The learning process of AI painting is like a kind of copying or reconstruction, but for similar "secondary creation works" such as adaptation, compilation and arrangement, Article 16 of China's copyright Law clearly stipulates: "the use of works produced by adaptation, translation, annotation, arrangement and compilation of existing works for publication, performance and production of audio and video recordings shall obtain permission from and pay remuneration to the copyright owner of the work and the copyright owner of the original work."

Therefore, in principle, when AI painting uses other people's works as data samples for learning and use, it needs to obtain the permission of the copyright owner of the original work. However, with the increase of the number of samples, AI painting will gradually form its own style, and it is very difficult to prove that the final product uses the artist's work without authorization.

Wen Xin Yi official website screenshot in addition, the copyright ownership of AI paintings is also a problem. Whether AI painting is a kind of obscure splicing or real artistic creation, whether the creator is AI itself or the operator behind it is still in a vague zone. There is no unified standard for copyright in the mainstream AI painting platform at home and abroad.

Open source software such as Stable Diffusion chose to use the international open copyright agreement; Wen Xinyi said that the intellectual property rights and related rights generated based on AI painting services belong to the platform, and the works cannot be used for commercial purposes; while the 6pen platform says that all pictures generated by users painting with AI belong to the user, and the platform does not reserve copyright.

6pen official website screenshot can see that AI painting in ethics, policy and other areas there is still a lot of room for improvement.

3. Artificial painter's rice bowl crisis with the rapid development of AI painting, talented artists even feel threatened in their careers, not to mention ordinary practitioners who make a living by painting.

Not long ago, the famous illustrator Laotie Heye, Wuhe Qilin and other painters have launched a debate on this. Lao Li is optimistic about the development of AI painting and thinks that AI can finally replace some of the lower-end painting methods and make some people responsible for their lack of progress. She admitted that art than any other assembly line industry eat personal technology, the bottom of the labor force is the most likely to be brushed out, and even has nothing to do with AI.

Old Lei Weibo screenshot Heye and Wuhe Qilin have a more neutral view of AI painting. In their view, painting can be either a professional or just a hobby. Art is not only high-end, but also approachable, and can not be distinguished by pure technology. As for AI painting, just take its essence and discard its dregs.

Wuhe Kirin Weibo screenshot it is undeniable that with the development of AI painting technology, some purely labor-intensive painting work will certainly be replaced first. One of the greatest meanings of AI technology to human beings is to improve efficiency. Artificial paintings that used to take days or even months to complete can now be obtained in a few minutes. Not all paintings pursue artistic expression, and many works only have industrial and commercial needs.

In the early stage of development, AI painting will probably give rise to new jobs-AI image generation error corrector, that is, those who "clean up" the defects in the painting caused by the lack of AI technology.

Zinc Finance found that at present, a recruitment software has appeared on the "graphic designer-AI painting" position, the first point of the job requirements is: love AI painting, like to study the prompt word promot. It makes people feel that some artificial painters seem to have been reduced to the point of working for AI.

Screenshot of a recruitment website in fact, the topic of whether technology will replace human beings is nothing new. as early as the birth of photography in the 19th century, some people shouted "painting is dead", but painting did not decline there. on the contrary, together with photography, it has become an indispensable expression of modern art. Today, AI painting also has a great impact on the industry, but it is still difficult to say whether the painter will disappear or show a richer form.

The technology is neutral, and when the wave of AI painting sweeps in, maybe different ways of treatment will have different results. An interesting analogy is that when cars were first invented, some coachmen became Luddites who smashed the internal combustion engine, while others became drivers.

This article comes from the official account of Wechat: zinc Finance (ID:xincaijing), author: Chen Yan, Editor: Dafeng

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