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公开(公告)号：US11463631B2
公开(公告)日：2022-10-04
申请号：US17025255
申请日：2020-09-18
Inventor： Henan Zhang , Xin Li , Fu Li , Tianwei Lin , Hao Sun , Shilei Wen , Hongwu Zhang , Errui Ding
Abstract: Embodiments of the present disclosure provide a method and apparatus for generating an image. The method may include: receiving a first image including a face input by a user in an interactive scene; presenting the first image to the user; inputting the first image into a pre-trained generative adversarial network in a backend to obtain a second image output by the generative adversarial network; where the generative adversarial network uses face attribute information generated based on the input image as a constraint; and presenting the second image to the user in response to obtaining the second image output by the generative adversarial network in the backend.
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2.发明申请公开(公告)号：US20210312686A1
公开(公告)日：2021-10-07
申请号：US17350449
申请日：2021-06-17
Inventor： Tianwei Lin , Fu Li , Xiaoqing Ye , Henan Zhang , Xin Li
Abstract: The present disclosure discloses a method and apparatus for generating a human body three-dimensional model, a device and a storage medium. The method may include: receiving a single human body image, and extracting an SMPL human body three-dimensional model corresponding to the human body image and a PIFu human body three-dimensional model corresponding to the human body image; matching the SMPL human body three-dimensional model with the PIFu human body three-dimensional model to obtain a matching result; determining a vertex of the SMPL human body three-dimensional model closest to a vertex of the PIFu human body three-dimensional model based on the matching result to obtain a binding weight of the vertex of the PIFu human body three-dimensional model and each skeleton point of the SMPL human body three-dimensional model; and outputting a drivable human body three-dimensional model.
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3.发明授权公开(公告)号：US11810310B2
公开(公告)日：2023-11-07
申请号：US17335647
申请日：2021-06-01
Inventor： Dongliang He , Henan Zhang , Hao Sun
CPC classification number: G06T7/55 , G06N3/045 , G06N3/08 , G06T2207/10032 , G06T2207/20084 , G06T2207/30181
Abstract: The satellite image processing method includes: acquiring a first target satellite image; defogging the first target satellite image through a first neural network to acquire a first satellite image; and adjusting an image quality parameter of the first satellite image through a second neural network to acquire a second satellite image.
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4.发明申请公开(公告)号：US20210295546A1
公开(公告)日：2021-09-23
申请号：US17335647
申请日：2021-06-01
Inventor： Dongliang He , Henan Zhang , Hao Sun
Abstract: The satellite image processing method includes: acquiring a first target satellite image; defogging the first target satellite image through a first neural network to acquire a first satellite image; and adjusting an image quality parameter of the first satellite image through a second neural network to acquire a second satellite image.
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公开(公告)号：US11748895B2
公开(公告)日：2023-09-05
申请号：US17184379
申请日：2021-02-24
Inventor： Tianwei Lin , Xin Li , Fu Li , Dongliang He , Hao Sun , Henan Zhang
CPC classification number: G06T7/246 , G06F18/253 , G06N3/04 , G06V20/41 , G06V20/46
Abstract: A method and apparatus for processing a video frame are provided. The method may include: converting, using an optical flow generated based on a previous frame and a next frame of adjacent frames in a video, a feature map of the previous frame to obtain a converted feature map; determining, based on an error of the optical flow, a weight of the converted feature map, and obtaining a fused feature map based on a weighted result of a feature of the converted feature map and a feature of a feature map of the next frame; and updating the feature map of the next frame as the fused feature map.
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Patent Agency Ranking
公开(公告)号：US20210350508A1
公开(公告)日：2021-11-11
申请号：US17382582
申请日：2021-07-22
Inventor： Xin Li , Fu Li , Tianwei Lin , Henan Zhang
Abstract: A meme generation method, an electronic device, and a storage medium are provided. The method includes: determining a plurality of second expression images corresponding to a target face image based on a plurality of first expression images contained in a first meme; generating a second meme corresponding to the target face image based on the plurality of second expression images corresponding to the target face image; wherein, determining an affine transformation parameter between the target face image and an i-th first expression image in the plurality of first expression images according to a corresponding relation between a face key point in the target face image and a face key point in the i-th first expression image; and transforming the target face image based on the affine transformation parameter to obtain an i-th second expression image corresponding to the target face image.
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公开(公告)号：US11875601B2
公开(公告)日：2024-01-16
申请号：US17382582
申请日：2021-07-22
Inventor： Xin Li , Fu Li , Tianwei Lin , Henan Zhang
IPC: G06V40/16 , G06T3/00 , G06T5/00 , G06F18/214 , G06V10/75
CPC classification number: G06V40/171 , G06F18/214 , G06T3/0075 , G06T5/005 , G06V10/757 , G06V40/165 , G06V40/174
Abstract: A meme generation method, an electronic device, and a storage medium are provided. The method includes: determining a plurality of second expression images corresponding to a target face image based on a plurality of first expression images contained in a first meme; generating a second meme corresponding to the target face image based on the plurality of second expression images corresponding to the target face image; wherein, determining an affine transformation parameter between the target face image and an i-th first expression image in the plurality of first expression images according to a corresponding relation between a face key point in the target face image and a face key point in the i-th first expression image; and transforming the target face image based on the affine transformation parameter to obtain an i-th second expression image corresponding to the target face image.
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公开(公告)号：US11568590B2
公开(公告)日：2023-01-31
申请号：US17373420
申请日：2021-07-12
Inventor： Tianwei Lin , Fu Li , Xin Li , Henan Zhang , Hao Sun
Abstract: The disclosure discloses a cartoonlization processing method for an image, and relates to a field of computational vision, image processing, face recognition, deep learning technologies. The method includes: performing skin color recognition on a facial image to be processed to determine a target skin color of a face in the facial image; processing the facial image by utilizing any cartoonizing model in a cartoonizing model set to obtain a reference cartoonized image corresponding to the facial image in a case that the cartoonizing model set does not contain a cartoonizing model corresponding to the target skin color; determining a pixel adjustment parameter based on the target skin color and a reference skin color corresponding to the any cartoonizing model; and adjusting a pixel value of each pixel point in the reference cartoonized image based on the pixel adjustment parameter, to obtain a target cartoonized image corresponding to the facial image.
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公开(公告)号：US11455765B2
公开(公告)日：2022-09-27
申请号：US17182604
申请日：2021-02-23
Inventor： Xiang Long , Xin Li , Henan Zhang , Hao Sun
Abstract: A method and apparatus for generating a virtual avatar are provided. The method may include: acquiring a first avatar, and determining an expression parameter of the first avatar, where the expression parameter of the first avatar including an expression parameter of at least one of five sense organs; and determining, based on the expression parameter of at least one of the five sense organs, a target virtual avatar that is associated with an attribute of the first avatar and has an expression of the first avatar.
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公开(公告)号：US20210334579A1
公开(公告)日：2021-10-28
申请号：US17184379
申请日：2021-02-24
Inventor： Tianwei LIN , Xin Li , Fu Li , Dongliang He , Hao Sun , Henan Zhang
Abstract: A method and apparatus for processing a video frame are provided. The method may include: converting, using an optical flow generated based on a previous frame and a next frame of adjacent frames in a video, a feature map of the previous frame to obtain a converted feature map; determining, based on an error of the optical flow, a weight of the converted feature map, and obtaining a fused feature map based on a weighted result of a feature of the converted feature map and a feature of a feature map of the next frame; and updating the feature map of the next frame as the fused feature map.
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