AIGC Industry report released heavily: Exploring a New Paradigm for Content Production

Human beings have crossed the steam age, The Electrical Age, Computers and the Internet in the Information Age, Nowadays, artificial intelligence is becoming the backbone driving humanity into the era of intelligence. The global community has recognized the significant significance of artificial intelligence technology in bringing change to the industry, Rushing to layout the artificial intelligence ecosystem.

Based on this, Maker Ties Collaborate with Tencent Cloud, 360, Insight Research Report, Industry brands such as Youshe, Jointly released 2023 AIGC Industry Development and Application White Paper , Focus on AIGC (AI generated content) Integrated application with the field of digital content, Discuss the innovation of the new generation of artificial intelligence technology and its commercial value behind it. meanwhile, The white paper is based on the analysis of AIGC Industry Insights, Analyzed the latest evolution model of the content industry and the impact and opportunities it brings to existing enterprises and business models.

in addition, 2023 AIGC Industry Development and Application White Paper Still concerned about the present AIGC Analyze the industry chain and core players, Analyzing the products and services in each segmented field to provide new development ideas for the innovation of content production mechanisms. We hope to provide readers with a meaningful AIGC Industry research reference, At the same time, we also hope to promote academic and practical exchanges and exploration.

digital age , AI Generating content has become commercial marketing, Digital entertainment, Popular topics in academic research and other fields. With the continuous development of artificial intelligence technology, More and more fields are starting to apply AI technology, One of them is the field of content generation. AIGC As one of the means, Already in the news, advertisement, Widely applied in fields such as literary creation. By using trained neural network models, AIGC Can automatically generate various forms of content, For example, articles, video, Music, etc. The application of this technology, It can improve production efficiency, It can also reduce production costs, At the same time, it can also meet the personalized needs of different customers.

Stable Diffusion, DALL-E 2, MidJourney Wait for someone who can generate images AIGC The model exploded AI Painting field, AI Painting has been in vogue for a while, Mark the penetration of artificial intelligence into the field of art. OpenAI Large scale language generative model based on java ChatGPT Burst network, It can handle high emotional intelligence conversations, Generate Code, Conceptualize multiple scenarios such as scripts and novels, Pushing human-machine dialogue to new heights, Make netizens wonder ChatGPT Does it already possess human intelligence. Major technology companies around the world are actively embracing AIGC, And continuously introduce relevant technologies, Platforms and Applications.

 : The future has arrived, The Revolution of Content Production 

about AIGC, We can understand that it is a type of content that is classified from the perspective of content producers, It is also a content production method, It is also a collection of technologies used for content automation generation.

AIGC The rise of digital content comes from the increasing demand for supply and the rapid breakthrough of deep learning technology. On the one hand, driven by technological progress AIGC Continuously increasing availability of. In the early stages of artificial intelligence development, Although for AIGC Made some preliminary attempts, But limited to multiple factors, Related algorithms are mostly based on pre-defined rules or templates, Far from being considered as intelligent creative content. in recent years, Based on deep learning algorithms AIGC Rapid iteration of technology, Breaking the original templating, Formulaic, Small scale limitations, Can quickly, Flexible generation of digital content with different modalities.

on the other hand, Massive demand traction AIGC Application landing. Nowadays, the integration of the digital economy and the real economy is constantly deepening, as well as Meta, Microsoft, The digital scene of platform tycoons such as ByteDance is transforming to the meta universe, The overall demand for the total amount and richness of digital content by humans is constantly increasing. The production of digital content depends on the level of knowledge, Imagination ability, Manufacturing capability; Traditional content production methods are limited by limited human creativity, Gradually unable to meet consumers' demand for digital content, The contradiction between supply side production capacity is becoming increasingly apparent.

data+algorithm+Three core elements of computing power, decision AIGC Output quality.

①data: Massive and high-quality application scenario data is the key foundation for training algorithm accuracy.

②algorithm: neural network, Deep learning and other algorithms are effective methods for mining data intelligence. Different from traditional deep machine learning algorithms, Neural Networks in Learning Paradigms+Iterative improvement in network structure AI Learning ability of algorithms, Future multimodal large models may be the core trend, Empowering industrial space and practical potential.

③Computational power: computer, Chips and other carriers are AIGC Provide basic computing power.

AIGC In application scenarios, There is broad application space in fields with high digitization level and rich content demand. along with AIGC Rapid iteration of technology, It can efficiently generate information output of different modalities (Including text, audio frequency, Video and cross modal) , Based on authenticity, Diversity, Characteristics such as controllability and comprehensiveness, Expected to help enterprises improve the efficiency of content production, And provide it with a more diverse and diverse approach, Dynamic and interactive content, Or will be the first in the media, online retailers, Movies, High degree of digitalization in entertainment and other fields, Significant innovative development in industries with rich content needs.

In terms of application value, AIGC It is expected to become a new engine for innovative development of digital content, Injecting New Energy into the Development of the Digital Economy. one side, AIGC Able to undertake information mining with superior manufacturing capabilities and knowledge levels compared to humans, Material call, Basic mechanical labor such as copying and editing, Realize low marginal cost from the technical level, Efficient way to meet massive personalized needs; Simultaneously able to innovate content production processes and paradigms, For more imaginative content, More diverse modes of communication offer possibilities, Drive content production towards a more creative direction.

on the other hand, AIGC Being able to support multidimensional interactions between digital content and other industries, Integrating and infiltrating to nurture new business forms and models, Creating new growth points for economic development, Provide new driving force for the development of Qianxing Baiye. in addition "Metaverse" Presenting explosive development beyond imagination. As a number real fusion "ultimate" Digital carrier, The metaverse will have sustainability, Real time performance, Creativity and other characteristics, It will also be passed through AIGC Accelerated Reproduction of the Physical World, Creating unlimited content, Thus achieving spontaneous organic growth.

 : join in a game AIGC Maker stickers professional Buff stretch fully 

Maker stickers [AI inferior painter] It is one of the first domestic intelligent image design tools, By integrating years of knowledge and experience in the design industry through maker stickers, Resource data and cutting-edge AIGC technology, Relying on a powerful intelligent design engine, Provides thousands of possibilities for visual expression in a very short amount of time, Meeting the design needs and aesthetic preferences of individual and corporate customers, Let your exclusive creativity flow in one after another.

Users only need to AI Painters perform simple text input or upload images, You can generate the target image with one click, Get high-quality, customization , Low cost images in various fields, in addition, In the future, users will also support deep editing of the generated result graph, at present AI Painter tools are gradually increasing intelligent matting, Intelligent repair, Intelligent outsourcing and other capabilities; Creating a new type of human-machine co creation of images AI Refined Image Tool, At the level of model classification, Realistic style will be gradually launched, portrait, pixiv, Fine tuned style models such as illustrations; At the same time, the ability to generate images from images will soon be publicly available based on ControlNet Model building Canny, Scribble, HED, Open Pose, M-LSD, Segmentation Equal model capability. While developing tools, AI Painters are also building creative content communities, Convenient for users to store data, Drawing on excellent works, Exchange design insights.

[AI inferior painter] Integrate creative content and AI Integrating algorithms, Through this platform, Users can focus more on the idea itself, More efficiently completing creative landing while, The user's usage behavior will be precipitated into the underlying design knowledge and logic of the platform, Translate users' design thinking into computer algorithms through human-computer collaboration, Complete the refined label processing of design creative content, Feature vector construction and aesthetic evaluation modeling, In the future, a design model matrix that better understands users' underlying aesthetic needs will be opened up for users, take [AI inferior painter] Train to become a design assistant who understands users better.

China AIGC Still in place "Budding stage" , Maturity of technical capabilities and product forms, The determination of core scenarios and the acceptance attitude of the industry are key development nodes in the industry. According to predictions, AIGC Development in China can be divided into three stages: Assistant stage (Exploring the running-in period, 2021 year~2026 year) : AIGC Assisting humans in production, The key to prioritizing monetization lies in the editing and optimization function, The key capability of industry innovation is the separation of material modules+Personalized recommendations; Collaboration phase (Promotion and application period, 2026 year~2028 year) : Man machine co creation, The main value is to reduce costs, increase efficiency, and provide creativity, Expected to be a battleground for internet giants; Original stage (Value growth period, 2028 Years later) : AIGC Independently complete content creation, Generate additional value. China AIGC Enterprises are all in the start-up stage, Opportunities may be hidden in vertical application fields, The selection of the track is crucial.

AIGC As a core element of artificial intelligence technology and industrial applications, With the continuous iteration and upgrading of technical capabilities, Lowering the threshold for the content creation industry, Unleash creative abilities, In the future, it will promote the transformation of content production and creation models under the trend of digital and real integration.