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

Thanks to CTOnews.com netizens Xiao Zhan cut, South China Daniel Wu's clue delivery! CTOnews.com June 9 news, Beijing Baidu Netcom Technology Co., Ltd. applied for the "generation of digital human methods, model training methods, devices, equipment and media" patent has been granted.

CTOnews.com obtained from patent abstract, the patent provides a method for generating digital human, training method, device, device and medium of model, relating to the field of artificial intelligence, specifically relating to the technical fields of natural language processing, deep learning, computer vision, image processing, augmented reality and virtual reality, etc., and can be applied to scenarios such as meta-universe. The implementation scheme is to obtain the content of the material, and to determine multiple scenes from the content of the material based on the pre-training scene division model.

Wherein, each scene in a plurality of scenes respectively corresponds to a content segment with complete semantic information in the material content; and for each scene in the plurality of scenes, the corresponding target content of the scene is determined based on the corresponding content segment; the scene label information of the scene is determined based on the corresponding target content; and the digital person specific to the scene is configured based on the scene tag information.

According to the patent, the use of digital people in video is mainly based on templates, such as fixed digital people broadcasting, digital people broadcast may be separated from the content, the broadcast content does not match the image of digital people, and the user experience is poor.

By segmenting the scene of the material content and configuring the digital human with the granularity of the scene, the patent ensures the consistency of the digital man with the scene and the target content, and improves the integration between the material content and the digital person. enhance the user experience of watching digital people.

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