With the continuous development and progress of technology, the technology that was unattainable to us in the past two years is not only gradually realized, but even widely used. The application of artificial intelligence technology in more and more industries has played a role in promoting the development of various industries to a certain extent. Wait, there is another technology that is on the rise, and that is AIGC!
What is AIGC?
AIGC stands for AI Generated Content, which uses artificial intelligence technology to generate content. AIGC is considered to be a new content creation method after PGC and UGC. AIGC has been developing rapidly since 2022, and among them, the continuous improvement of deep learning models, the promotion of open source models, and the possibility of commercialization of large models have become the "acceleration" of AIGC's development.
There is no doubt that AIGC is expected to become a new engine for the innovation and development of digital content. Because it can undertake basic mechanical labor such as information mining, material transfer, and copy editing with superior manufacturing capabilities and knowledge levels than humans, it can meet massive individual needs with low marginal cost and high efficiency from the technical level. From the perspective of promoting the vigorous development of multi-ecology in the industry, AIGC can support the multi-dimensional interaction and integration of digital content and other industries to breed new business models and models.
Three levels, layer by layer analysis
Intelligent digital content twin
The so-called intelligent digital content twin is to map digital content from one dimension to another. And what does this have to do with content generation? Needs to be generated because another dimension content does not exist. Content twinning is mainly divided into content enhancement and translation. Enhancement refers to digital content restoration, denoising, detail enhancement, etc.; translation refers to digital content conversion such as translation.
This technology aims to intelligently enhance and intelligently translate content in the real world, and better complete the mapping from the real world to the digital world. For example, we took a low-resolution picture, and through the image super-resolution in intelligent enhancement, the low-resolution can be enlarged, and the detailed information of the image can be enhanced to generate a high-definition picture. Smart translation, on the other hand, pays more attention to the mutual transformation between different modalities. For example, we have recorded a piece of audio, which can automatically generate subtitles through intelligent translation technology; another example, we have entered a piece of text, and can automatically generate voice. Both examples are intelligent translation applications between modalities. Most of them are used in image super-resolution, voice-to-subtitle, text-to-speech, etc.
Smart Digital Content Editing
Mainly through the understanding of the content and attribute control, and then realize the modification of the content. It is mostly used in scenes such as video scene editing, virtual fitting, and vocal separation.
Intelligent Digital Content Generation
It mainly learns abstract concepts from massive data and generates new content through the combination of concepts. For example, the recent popular AI painting is to learn different brushwork, content, and artistic styles of works from a large number of paintings, and regenerate paintings of a specific style based on the learned content. In the same way, artificial intelligence has also made great achievements in text creation, music creation and poetry creation. It is mainly used in image generation (AI painting), text generation (AI writing, ChatBot), video generation, multi-modal generation and other scenarios.
Multi-industry and full ecology
The development and widespread popularization of artificial intelligence technology itself means that it will promote the innovation and progress of social life and production methods at the current stage. When different industries face the impact of new technologies, they will also produce new breakthroughs unique to their own industries. .
AIGC+Media
Writing robot, interview assistant, video subtitle generation, voice broadcast, video collection, artificial intelligence synthesis anchor.
AIGC+E-commerce
Commodity 3D models, virtual anchors, and virtual freight yards.
AIGC+ Film and Television
AI script creation, AI synthesis of human faces and voices, AI creation of characters and scenes, AI automatic generation of film and television trailers.
AIGC+Entertainment
AI face-changing applications (such as FaceAPP, ZAO), AI composition (such as Hatsune Miku's virtual singer), and AI-synthesized audio and video animations.
AIGC+Education
AI synthesizes virtual teachers, AI makes images of historical figures based on textbooks, and AI converts 2D textbooks into 3D.
AIGC+Finance
Realize the automatic production of financial information and product introduction video content through AIGC, and create virtual digital human customer service through AIGC.
AIGC+Medical
AIGC synthesizes speech audio for the voiceless, synthesizes body projections for the disabled, and synthesizes medical companionship for patients with mental illness.
AIGC+Industry
Completing repetitive low-level tasks in engineering design through AIGC, generating derivative designs through AIGC to provide inspiration for engineers.
summary
We believe that with the continuous improvement of the AIGC model's generalization level and industrialization capabilities, the popularization and application of AIGC technology will greatly reduce the threshold and cost of content production and interaction. In our near future, AIGC is bound to shine, deeply empowering the high-quality development of all walks of life.