Tencent Technology (Shenzhen) Company Limited

Tencent Technology Company Limited

Yu Wing Tai

Jia Ya Jia

Xiao Yong Shen

Ying Chen

Yi Chen

Shu Liu

Xin Tao

Hongwei Yi

Hong Yun Gao

Shang Xu

Runze Zhang

A depth image generation method, apparatus, and storage medium and electronic device. The method includes: acquiring a plurality of target images; performing multi-stage convolution processing on the plurality of target images through a plurality of convolutional layers in a convolution model to obtain feature map sets respectively outputted by the plurality of convolutional layers; performing view aggregation on a plurality of feature maps in each feature map set respectively to obtain an aggregated feature corresponding to each feature map set; and performing fusion processing on the plurality of obtained aggregated features to obtain a depth image. The plurality of acquired target images are obtained by photographing the target object from different views respectively, so that the plurality of obtained target images include information from different angles, which enriches information content of the acquired target images.

Depth image generation method, apparatus, and storage medium and electronic device

An object detection method and apparatus include obtaining a point cloud of a scene that includes location information of points. The point cloud is mapped to a 3D voxel representation. A convolution operation is performed on the feature information of the 3D voxel to obtain a convolution feature set and initial positioning information of a candidate object region is determined based on the convolution feature set. A target point is located in the candidate object region in the point cloud is determined and the initial positioning information of the candidate object region is adjusted based on the location information and target convolution feature information of the target point. Positioning information of a target object region is obtained to improve object detection accuracy.

Object detection method and apparatus, electronic device, and storage medium

An image processing method and device, storage medium and electronic device for deblurring an image. The method includes obtaining an image processing instruction including an instruction to deblur a target blurred image; obtaining a target model by training an original model based on a plurality of sample images of different scales, one of the plurality of sample images being a blurred image composed of a plurality of clear images, and the obtained target model being used for deblurring the blurred image to obtain a clear image; based on the image processing instruction, using the target model to deblur the target blurred image to obtain a target clear image; and outputting the target clear image.

Image processing method and device, storage medium and electronic device

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Shenzhen, China

Yu Wing Tai