Method and device for generating face image, electronic device and computer readable storage medium

    公开(公告)号:US11295115B2

    公开(公告)日:2022-04-05

    申请号:US16937175

    申请日:2020-07-23

    Abstract: The present disclosure discloses a method for generating a face image, an electronic device, and a non-transitory computer-readable storage medium, the method includes: receiving a first face image and target facial expression information, and determining first facial expression information corresponding to the first face image; selecting a first reference face image matched with the first facial expression information and a second reference face image matched with the target facial expression information from a face image library; respectively extracting feature points in the first reference face image and the second reference face image, and determining face deformation information between the first reference face image and the second reference face image based on the feature points; and extracting feature points in the first face image, and generating a second face image based on the face deformation information and the feature points in the first face image.

    IMAGE PROCESSING METHOD, APPARATUS, ELECTRONIC DEVICE AND STORAGE MEDIUM

    公开(公告)号:US20230342892A1

    公开(公告)日:2023-10-26

    申请号:US17635263

    申请日:2021-04-30

    Abstract: An image processing method, an apparatus, an electronic device and a non-transient computer-readable storage medium. The image processing method includes: (S11) acquiring an original image; (S12) performing a fuzzy processing to the original image to obtain a fuzzy image; (S13) performing a high-dynamic-range image to the original image by using a first network model obtained by pre-training, to obtain a first characteristic matrix, wherein the first network model includes a dense residual module and a gate-control-channel conversion module; (S14) obtaining an auxiliary characteristic matrix of the original image according to the fuzzy image, wherein the auxiliary characteristic matrix includes detail information of the original image and/or low-frequency information of the original image; (S15) obtaining a target image according to the first characteristic matrix and the auxiliary characteristic matrix.

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