Tencent Technology (shenzhen) Company Limited

Shenzhen Sensetime Technology Co., Ltd.

Tencent Technology Company Limited

Chenghao Liu

Juanhui Tu

Feng Li

Yi Liu

Benchao Li

Jilin Li

Chengjie Wang

Feiyue Huang

Ying Tai

Yabiao Wang

Yang Yi

Keke He

Jinlong Peng

Yi Zhou

Zhengkai Jiang

Guijie Wang

Ting Liao

Xiaoming Yu

Jianbo Liu

Ligen Dai

Xu Bao

Canbin Wang

Tong Ai

Qifeng Chen

Wenliang Zeng

In the field of artificial intelligence technologies, a gaze correction method and apparatus for a face image, a device, a computer-readable storage medium, and a computer program product are provided. The method includes: acquiring an eye image from a face image; determining an eye movement flow field based on the eye image and a target gaze direction, the target gaze direction being a gaze direction to which an eye gaze in the eye image is to be corrected; adjusting a pixel position in the eye image based on the eye movement flow field, to obtain a corrected eye image; and generating a face image with a corrected gaze based on the corrected eye image.

Gaze correction method and apparatus for face image, device, computer-readable storage medium, and computer program product face image

An image gaze correction method, apparatus, electronic device, computer-readable storage medium, and computer program product. The image gaze correction method includes: acquiring a to-be-corrected eye image from a to-be-corrected image, generating, based on the to-be-corrected eye image, an eye motion flow field and an eye contour mask, the eye motion flow field being used for adjusting a pixel position in the to-be-corrected eye image, and the eye contour mask being used for indicating a probability that the pixel position in the to-be-corrected eye image belongs to an eye region, performing, based on the eye motion flow field and the eye contour mask, gaze correction processing on the to-be-corrected eye image to obtain a corrected eye image, and generating a gaze corrected image based on the corrected eye image.

Image gaze correction method, apparatus, electronic device, computer-readable storage medium, and computer program product

An image processing method includes: determining a brightness value of an image; and enhancing a brightness of the image when the brightness value of the image is less than an image brightness threshold. Enhancing the brightness of the image includes: determining each pixel of the image as a target pixel; determining a brightness enhancement value of the target pixel based on the brightness value of the image, an initial brightness value of the target pixel, and initial brightness values of neighboring pixels of the target pixel; and using the brightness enhancement value as an enhanced brightness value of the target pixel.

Image processing method and apparatus, computing device, and storage medium

An image processing method includes: obtaining a target image; performing blurring processing on an original image of a specified channel of channels of the target image to obtain a first blurred image; performing high pass processing on the original image of the specified channel and the first blurred image to obtain a high pass image; obtaining, for a channel, a second blurred image corresponding to the channel based on an original image of the channel and the high pass image; and obtaining a processed image corresponding to the target image based on the second blurred image of the channel and the high pass image.

Image processing method and apparatus, video processing method and apparatus, electronic device, and storage medium

A video denoising method includes: performing spatial filtering on pixels of a target image in a video to be processed to obtain a first image, the spatial filtering being used for eliminating dependencies between the pixels of the target image; performing, according to a frame difference between the first image and a first denoised image, temporal filtering on the pixels of the target image in parallel to obtain a second image, the first denoised image being an denoised image that corresponds to a preceding frame of the target image; predicting first gain coefficients corresponding to pixels of the second image in a second denoised image according to second gain coefficients corresponding to the pixels of the target image in the first denoised image; and fusing the first image and the second image according to the first gain coefficients to obtain the second denoised image that corresponds to the target image.

Video denoising method and apparatus, terminal, and storage medium

A face image processing method includes: performing face detection on a to-be-processed image, to obtain at least one face region image included in the to-be-processed image and face key point information in the at least one face region image; and processing, for the at least one face region image, an image corresponding to a first region and/or an image corresponding to a second region in the face region image at least according to the face key point information in the face region image, wherein the image corresponding to the second region and the image corresponding to the first region are at least partially non-overlapping.

Face image processing method and apparatus, and electronic device

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Shenzhen, China

Chenghao Liu