Baidu Netcom Tech obtains patent for virtual object driving method through deep learning network

It is reported that recently, the patent of \”virtual object driving method, training method and device of deep learning network\” of Baidu Netcom Technology Co….

Baidu Netcom Tech obtains patent for virtual object driving method through deep learning network

It is reported that recently, the patent of “virtual object driving method, training method and device of deep learning network” of Baidu Netcom Technology Co., Ltd., a subsidiary of Baidu, was granted. The patent abstract shows that the present disclosure provides a virtual object-driven method, a training method, device, device, medium and product of deep learning network, which is related to the field of artificial intelligence, especially the field of deep learning, computer vision, virtual/augmented reality and image processing technology, and can be applied to virtual digital human, metauniverse and other scenes.

Baidu’s new patent is authorized and can be applied to virtual digital human, meta universe and other scenes

Interpretation of the news:


Baidu Netcom Technology Co., Ltd., a subsidiary of Baidu, recently acquired a patent for a “virtual object driving method, training method and device of deep learning network.” This newly granted patent offers a virtual object-driven method, a training method, device, medium, and product of deep learning network that focuses on the field of artificial intelligence, especially for deep learning, computer vision, virtual/augmented reality, and image processing technology. The patent’s application can be useful in various scenarios, including virtual digital human, metauniverse, and other related fields.

The patent’s abstract reveals that the patent will offer an innovative solution to various problems that AI developers face today. The virtual object driving method can help solve various deep learning problems, one of which is data scarcity in machine learning. Training datasets that aren’t big enough limit the effectiveness of deep learning algorithms, and this is where the patent can help developers. The patent will benefit developers because it can execute a virtual object that can explore complex AI structures and analyze large datasets without the need for significant manual input.

This innovative patent can be applied across a broad spectrum of applications, particularly for computer vision and image processing. In addition, the patent’s abstract suggests that it has a specific emphasis on the field of virtual/augmented reality, where virtual objects must behave realistically for a comprehensive user experience. With the growing success of virtual reality technologies, the patent’s application can be fundamental for further advancements in the technology.

In conclusion, Baidu Netcom Technology Co., Ltd’s acquisition of this patent represents a significant investment in improving the development of AI systems. The patent’s emphasis on virtual object driving methods and deep learning can provide developers with a streamlined and accurate way to analyze enormous amounts of data. Applying such technology to the virtual reality field, this patent will unleash a new realm of imagination for all developers invested in building virtual and augmented worlds.

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