Beijing Baidu Netcom Science and Technology Co., Ltd.

Chinese Academy of Sciences

Baidu Online Network Technology (beijing) Co., Ltd.

Baidu Online Network Technology Co., Ltd.

Guanbo Bao

Zhe Peng

Yuqiang Liu

Tao Sun

Lei Jia

Wenfu Wang

Xiaopeng Zhang

Xiang Xu

Huan Ye

Minqiang Chang

Hongjun Li

Weiliang Meng

The disclosure provides a method for generating a three-dimensional virtual image. The method includes: obtaining a face image to be processed and a three-dimensional reference model; obtaining a three-dimensional face model, face attribute information and face image information by inputting the face image to be processed into a trained neural network; obtaining a three-dimensional image model by performing a deformation process on the three-dimensional reference model based on the three-dimensional face model; and obtaining a target virtual image by adjusting the three-dimensional image model based on the face attribute information and the face image information.

Method and apparatus for generating three-dimensional virtual image, and storage medium

A method and apparatus for predicting a mouth-shape feature, and an electronic device are provided. A specific implementation of the method comprises: recognizing a phonetic posterior gram (PPG) of a phonetic feature; and performing a prediction on the PPG by using a neural network model, to predict a mouth-shape feature of the phonetic feature, the neural network model being obtained by training with training samples and an input thereof including a PPG and an output thereof including a mouth-shape feature, and the training samples including a PPG training sample and a mouth-shape feature training sample.

Method and apparatus for predicting mouth-shape feature, and electronic device

A method, an apparatus, a device and a computer-readable storage medium for recognizing aerial handwriting are provided. The method may include detecting a palm region of a user in a two-dimensional grayscale image; detecting a fingertip in the two-dimensional gray-scale image based on the palm area; determining a spatial trajectory of the fingertip based on a set of two-dimensional gray-scale images, the set of two-dimensional gray-scale images including the two-dimensional gray-scale image; and recognizing handwritten content of the user based on the spatial trajectory. A two-dimensional gray-scale image is used to recognize and track the spatial trajectory of the fingertip, which may speed up aerial handwriting recognition, and has low processing performance requirements for the device, while also ensuring high accuracy.

Method, apparatus, device and computer readable storage medium for recognizing aerial handwriting

A method for realistic and real-time rendering of complex scene in internet environment, comprising: generating sequences of scene-object-multi-resolution models, a scene configuration file, textures and material files, and a scene data list file; compressing the sequences of scene-object-multi-resolution models, the scene configuration file, the textures and material files, and the scene data list file and uploading the compressed files to a server; downloading, at a client terminal, the scene-object-multi-resolution models, the scene configuration file, the texture and material file, and the scene data list file in ascending order of resolution and rendering the scene simultaneously; dividing, in rendering the scene, a frustum in parallel into a plurality of partitions, generating a shadow map for each frustum, filtering the shadow maps to obtain an anti-aliasing shadowing effect; and the shadow map closest to a viewpoint is updated on a frame-by-frame basis and updating frequency decreases for the shadow maps distant from the viewpoint, wherein the shadow map closest to the viewpoint has the largest size, and the size of the shadow map decreases for the shadow maps distant from the viewpoint.

Method for real-time and realistic rendering of complex scenes on internet

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Beijing, China

Guanbo Bao