Meta LRM innovates virtual human generation, DeepSeek deepens the application of digital humans

图片2

It is understood that the Meta (META) team has built a “large reconstruction model (LRM)”, which can generate a movable and realistic head virtual avatar in a few minutes with only four selfies.

Quickly create virtual avatars
So far, Meta has been studying the generation and animation technology of virtual avatars for more than six years. Although the amount of data and calculation required for the Avat3r system to generate virtual avatars is very low, it is far from suitable for real-time rendering.

According to researchers, from a technical perspective, the Avat3r system is built on the concept of large reconstruction models (LRMs), just like large language models (LLMs) process natural language, it uses a transformer to handle three-dimensional visual tasks, which is usually called a visual transformer (ViT).

In the field of artificial intelligence, the method of the Meta Avat3r system points a promising path for the future. One day, users of head-mounted devices may only need to take a few selfies and a few minutes of generation time to quickly create a realistic virtual avatar.

In fact, virtual humans refer to virtual characters created using digital technology that simulate human characteristics and exist in the non-physical world. With the wave of changes brought about by artificial intelligence, cutting-edge fields such as virtual humans and virtual avatars are continuing to evolve, breaking the characteristics of time and space boundaries and making them flexible to respond to complex and changing market needs.

With the vigorous development of new generation information technologies such as 5G, AI, and VR, the sophistication and intelligence level of digital humans are constantly improving. A large number of digital humans have taken up different job “positions” and accelerated their integration into daily life, realizing the upgrade of service experience in different fields such as pan-entertainment, retail, live broadcasting, education, and training.

DeepSeek helps “AI digital humans”
Now, especially in the wave of DeepSeeK digitalization, the efficiency of virtual human production is more efficiently improved. Using the “DeepSeek+” fusion technology, the efficient production cycle is shortened from 3 days to 2 hours. At the same time, it saves the cost and time of the anchor’s appearance and video shooting, and quickly improves the program’s publicity effect with low cost and high efficiency.

Therefore, some industry experts pointed out that the widespread involvement of AI technology has greatly improved the interactive ability, content generation ability and intelligence level of digital people. At present, virtual idols, virtual anchors, and digital employees have become the best and most popular categories of digital people in commercial applications. The agency optimistically predicts that the core market size of digital people in China will reach 48.06 billion yuan in 2025, driving the industry market size to 640.27 billion yuan.

WiMi explores DeepSeek+ virtual human applications
In today’s era of rapid digital development, the application of virtual human technology has penetrated into various fields and is attracting more and more attention. Public information shows that WiMi (WIMI), as a global leading virtual digital human comprehensive solution provider, has rich experience in industry production, and has generated significant synergy based on DeepSeek, which has accelerated the development of the virtual human market and built a variety of application paths for all walks of life.

So far, WiMi has combined DeepSeek’s multimodal interaction capabilities and empowered virtual humans through DeepSeek’s technology, upgrading from a single image display to an interactive subject with decision-making capabilities. Its application scenarios have expanded from entertainment to a wider range of industrial service fields, promoting the transformation of virtual humans from “tools” to “productivity”.

For example, WiMi has developed a virtual human anchor that supports natural language understanding and real-time interaction through DeepSeek, which is applied to e-commerce live broadcast scenarios. This type of virtual human can automatically generate live broadcast content, answer user questions, and simulate the body movements and expressions of real anchors, reducing the dependence of traditional live broadcasts on manpower. In the field of education, the introduction of virtual teachers can generate customized teaching content according to student needs, and enhance the interactive experience through emotional computing technology.

Summary
In the rolling trend of technology, AI virtual humans are reshaping the interaction paradigm of human society at an astonishing speed. Its highly intelligent, multimodal interaction and highly customized characteristics make it have broad application prospects in multiple fields. Behind this is not only the technological leap of AI and DeepSeek’s large model, but also reflects the dual desire of human beings for emotional projection and efficiency revolution. I believe that in the future, with the continuous advancement of technology and the expansion of application scenarios, AI virtual humans will play a more significant role.