Shenzhen Sensetime Technology Co., Ltd.

Sijie Ren

Qiong Yan

Wenxiu Sun

Xiangyu Mao

Yue Luo

Jinjin Gu

Yicun Liu

Xiaohao Chen

Haonan Qiu

Xiaoguang Han

Gaoyuan He

A method for image generation, an electronic device and a storage medium are provided. The method includes: a first image of a target object is generated according to a line image of the target object; structure extraction is performed on the first image to obtain at least one of texture information or orientation information of the first image; and a second image of the target object is generated according to the at least one of the texture information or the orientation information.

Method for image generation, electronic device, and storage medium

A depth estimation method includes: taking a single image as a first image in binocular images, and obtaining a second image in the binocular images based on the first image via a first neural network; and obtaining depth information corresponding to the first image via a second neural network by performing binocular stereo matching on the first image and the second image.

Depth estimation method and apparatus, electronic device, program, and medium

An image style transform method includes: acquiring an initial image to be subjected to style transform; inputting a gradient of the initial image to an image style transform model, and obtaining a feature map of the initial image in a gradient domain from the image style transform model, where the image style transform model is obtained by being trained in the gradient domain based on a pixel-wise loss and a perceptual loss; and performing image reconstruction according to the feature map of the initial image in the gradient domain to obtain a style image.

Image style transform methods and apparatuses, devices and storage media

An image processing method includes: obtaining an original photographed image and original depth information of at least one pixel point in the original photographed image; determining blurring degree data of each of the at least one pixel point in the original photographed image according to blurring parameter data and the original depth information of the at least one pixel point; and performing blurring processing on the original photographed image according to the blurring degree data of the at least one pixel point to generate a post-processing result image.

Image processing methods and apparatuses, computer readable storage media and electronic devices

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Shenzhen, China

Sijie Ren