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公开(公告)号：US20230087489A1
公开(公告)日：2023-03-23
申请号：US17989109
申请日：2022-11-17
Inventor： Yunlong FENG , Xu Chen , Ying Tai , Chengjie Wang , Jilin Li
Abstract: An image processing method and apparatus are provided. During image matting on an original image, a plurality of segmented images including different regions are first obtained through semantic segmentation. Further, according to the segmented images, lines of different widths are drawn on a contour line of a foreground region to obtain a target trimap. Finally, a target image is generated based on the target trimap. For the target trimap, because lines of different widths are drawn on the contour line of the foreground region, pertinent image matting may be implemented for different regions, so that image matting precision may be improved for a region requiring fine image matting, and image matting precision of another region can also be ensured. In this way, a final image obtained through image matting is fine and natural.
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2.发明授权公开(公告)号：US12299963B2
公开(公告)日：2025-05-13
申请号：US18051323
申请日：2022-10-31
Inventor： Keke He , Junwei Zhu , Hui Ni , Yun Cao , Xu Chen , Ying Tai , Chengjie Wang , Jilin Li , Feiyue Huang
IPC: G06V10/00 , G06V10/75 , G06V10/774 , G06V10/776 , G06V10/82 , G06V40/16
Abstract: An image processing method includes performing additional image feature extraction on a training source face image to obtain a source additional image feature, performing identity feature extraction on the training source face image to obtain a source identity feature, inputting a training template face image into an encoder in a to-be-trained face swapping model to obtain a face attribute feature, inputting the source additional image feature, the source identity feature, and the face attribute feature into a decoder in the face swapping model for decoding to obtain a decoded face image, obtaining a target model loss value based on an additional image difference between the decoded face image and a comparative face image, and adjusting the model parameters of the encoder and the decoder based on the target model loss value to obtain the trained face swapping model.
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3.发明授权公开(公告)号：US12154380B2
公开(公告)日：2024-11-26
申请号：US17969435
申请日：2022-10-19
Inventor： Yun Cao , Hui Ni , Feida Zhu , Xiaozhong Ji , Ying Tai , Yanhao Ge , Chengjie Wang
IPC: G06V40/16 , G06T15/04 , G06T19/20 , G06V10/774 , G06V20/70
Abstract: A face image processing method and apparatus, a face image display method and apparatus, and a device are provided, belonging to the technical field of image processing. The method includes: acquiring a first face image of a person; invoking an age change model to predict a texture difference map of the first face image at a specified age, the texture difference map being used for reflecting a texture difference between a face texture in the first face image and a face texture of a second face image of the person at the specified age; and performing image processing on the first face image based on the texture difference map to obtain the second face image.
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Patent Agency Ranking
公开(公告)号：US20240404018A1
公开(公告)日：2024-12-05
申请号：US18800385
申请日：2024-08-12
Inventor： Wenhui HAN , Yandan Zhao , Ying Tai , Donghao Luo , Chengjie Wang
IPC: G06T5/60 , G06T5/77 , G06T7/00 , G06V10/774 , G06V10/776 , G06V10/82 , G06V40/16
Abstract: An image processing method, performed by a computer device, includes: obtaining an input image to be processed; performing face detection on the input image to obtain an input face image to be processed including at least one defect element relating to a skin element; and inputting the input face image into an image processing model to obtain a target face image corresponding to the input face image without a first defect element amongst the at least one defect element, wherein a training sample of the image processing model includes a first face image with a first face distortion degree less than a preset threshold and that is annotated with the first defect element.
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公开(公告)号：US11972638B2
公开(公告)日：2024-04-30
申请号：US17513731
申请日：2021-10-28
Inventor： Jian Zhang , Jia Meng , Taiping Yao , Ying Tai , Shouhong Ding , Jilin Li
CPC classification number: G06V40/45 , G06V10/56 , G06V20/64 , G06V40/171 , G06V40/172 , G06V10/95
Abstract: This application provides a face living body detection method performed by a computing device, the method including: obtaining a first face image of a target detection object in a first illumination condition and a second face image of the target detection object in a second illumination condition, determining a difference image according to the two images, decoupling an object reflectivity and an object normal vector corresponding to the target detection object from a feature map extracted from the difference image, and determining whether the target detection object is a living body according to the object reflectivity and the object normal vector. This method decouples texture information and depth information of a face, and performs living body detection by using decoupled information, which increases the defense capability against 3D attacks, thereby effectively defending against planar attacks and 3D attacks.
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6.发明授权公开(公告)号：US12272024B2
公开(公告)日：2025-04-08
申请号：US17739053
申请日：2022-05-06
Inventor： Xiaozhong Ji , Yun Cao , Ying Tai , Chengjie Wang , Jilin Li
IPC: G06T5/00 , G06N20/20 , G06T5/50 , G06V10/774
Abstract: A method, an apparatus, and a device for image processing and a training method thereof are provided. The training method includes obtaining a sample image set, the sample image set comprising a first number of sample images; constructing an image feature set based on the sample image set, the image feature set comprising an image feature extracted from each of the sample images in the sample image set; obtaining a training image set, the training image set comprising a second number of training images; constructing multiple training image pairs based on the training image set and the image feature set; and training the image processing model based on the multiple training image pairs.
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公开(公告)号：US20240257554A1
公开(公告)日：2024-08-01
申请号：US18632696
申请日：2024-04-11
Inventor： Chao Xu , Junwei Zhu , Wenqing Chu , Ying Tai , Chengjie Wang
CPC classification number: G06V40/171 , G06V10/467 , G06V40/172 , G10L25/63 , G06V2201/07
Abstract: An image generation method, performed by an electronic device includes obtaining an original face image frame, audio driving information, and emotion driving information, performing spatial feature extraction on the original face image frame to obtain an original face spatial feature corresponding to the original face image frame; performing feature interaction processing on the audio driving information and the emotion driving information to obtain a face local pose feature of the to-be-adjusted object issuing the voice content with the target emotion; and performing, based on the original face spatial feature and the face local pose feature, face reconstruction processing on the to-be-adjusted object to generate a target face image frame.
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公开(公告)号：US12197640B2
公开(公告)日：2025-01-14
申请号：US17977646
申请日：2022-10-31
Inventor： Keke He , Zhengkai Jiang , Jinlong Peng , Yang Yi , Xiaoming Yu , Juanhui Tu , Yi Zhou , Yabiao Wang , Ying Tai , Chengjie Wang , Jilin Li , Feiyue Huang
Abstract: An image gaze correction method, apparatus, electronic device, computer-readable storage medium, and computer program product related to the field of artificial intelligence technologies are provided. The image gaze correction method includes: acquiring an eye image from an image; performing feature extraction processing on the eye image to obtain feature information of the eye image; performing, based on the feature information and a target gaze direction, gaze correction processing on the eye image to obtain an initially corrected eye image and an eye contour mask; performing, by using the eye contour mask, adjustment processing on the initially corrected eye image to obtain a corrected eye image; and generating a gaze corrected image based on the corrected eye image.
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