Tencent Technology (shenzhen) Company Limited

Gosuncn Technology Group Co., Ltd.

Tencent Technology Company Limited

Yibing Song

Yan Zhang

Linchao Bao

Yonggen Ling

Ning Wang

Wei Liu

Gang Wang

Xiangkai Lin

Shenghui Chen

Tongyu Huang

Jianrong Zhong

Shuangguang Liu

Chunsen Qiu

Xianjing Lin

Yuqing Hou

Yajing Chen

Guanjie Xu

Zhizhao Deng

Zhuofeng Liu

Yuying Ge

Chaowei Meng

Kejun Luo

Shengxin Jiang

Chongjian Ge

Wenguo Gao

Weijian Hu

Xiwan Ning

Xuefei Zhe

This disclosure is related to an image generation method and apparatus. The method includes: obtaining a first body image including a target body and a first clothes image including target clothes; transforming the first clothes image based on a posture of the target body in the first body image to obtain a second clothes image, the second clothes image including the target clothes, and a posture of the target clothes matching the posture of the target body; performing feature extraction on the second clothes image, an image of a bare area in the first body image, and the first body image to obtain a clothes feature, a skin feature, and a body feature respectively; and generating a second body image based on the clothes feature, the skin feature, and the body feature, the target body in the second body image wearing the target clothes.

Image generation method and apparatus

An image processing method and an image processing apparatus are provided. The method includes: acquiring a first image including an image of a target person and a second image including an image of target clothes; generating, based on image features of the first image and image features of the second image, a target appearance flow feature for representing deformation of the target clothes matching a body of the target person, and generating, based on the target appearance flow feature, a deformed image of the target clothes matching the body; and generating a virtual dress-up image, in which the target person wears the target clothes matching the body, by fusing the deformed image with the first image.

Method, apparatus, electronic device, and storage medium for processing image

An image processing method and apparatus, a computer-readable medium, and an electronic device are provided. The image processing method includes: respectively projecting, according to a plurality of view angle parameters corresponding to a plurality of view angles, a face model of a target object onto a plurality of face images of the target object acquired from the plurality of view angles, to determine correspondences between regions on the face model and regions on the face image; respectively extracting, based on the correspondences and a target region in the face model that need to generate a texture image, images corresponding to the target region from the plurality of face images; and fusing the images that correspond to the target region and that are respectively extracted from the plurality of face images, to generate the texture image.

Image processing method and apparatus, computer-readable medium, and electronic device

This application disclose a method for training a model performed at a computing device. The method includes: acquiring a template image and a test image; invoking a first object recognition model to process a feature of a tracked object in the template image to obtain a first reference response, and a second object recognition model to process the feature in the template image to obtain a second reference response; invoking the first model to process a feature of a tracked object in the test image to obtain a first test response, and the second model to process the feature to obtain a second test response; tracking the first test response to obtain a tracking response of the tracked object; and updating the first object recognition model based on differences between the first and second reference responses, that between the first and second test responses, and that between a tracking label and the tracking response.

Method, apparatus, terminal, and storage medium for training model

A computer application method for generating a three-dimensional (3D) face model is provided, performed by a face model generation model running on a computer device, the method including: obtaining a two-dimensional (2D) face image as input to the face model generation model; extracting global features and local features of the 2D face image; obtaining a 3D face model parameter based on the global features and the local features; and outputting a 3D face model corresponding to the 2D face image based on the 3D face model parameter.

Computer application method and apparatus for generating three-dimensional face model, computer device, and storage medium

A video map engine system includes a configuration management client, multiple video equipments, a video access server, an augmented reality processor, and an augmented reality client. The parameters of the video equipments includes azimuth angle P, vertical angle T and zoom factor Z of the video equipment, the augmented reality client is adapted for calculating the location where the augmented reality tag is presented in the real-time video according to the values of P, T, Z and the target location carried by the augmented reality tag, and presenting the augmented reality tag on the corresponding location of the real-time video. Therefore, the real-time video is served as the base map, and the augmented reality tag is presented on the base map, thereby achieving a video map effect.

Video map engine system

Growing community of inventors

Shenzhen, China

Yibing Song