Patents by Inventor Chengjie Wang

Chengjie Wang has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20240161245
    Abstract: In an image optimization method, an image generation network, a to-be-optimized image, and a plurality of preset image features are obtained. A target feature is selected from the plurality of preset image features based on (i) the target feature and the to-be-optimized image and (ii) a preset similarity condition. The target feature and an initial offset parameter are input to the image generation network. The initial offset parameter is adjusted according to a difference between an output of the image generation network and the to-be-optimized image, to obtain a target offset parameter. The target feature and the target offset parameter are input to the image generation network, to generate an optimized image. Apparatus and non-transitory computer-readable storage medium counterpart embodiments are also contemplated.
    Type: Application
    Filed: January 24, 2024
    Publication date: May 16, 2024
    Applicant: Tencent Technology (Shenzhen) Company Limited
    Inventors: Chuming LIN, Yanbo WANG, Donghao LUO, Ying TAI, Zhizhong ZHANG, Yuan XIE, Chengjie WANG
  • Publication number: 20240161465
    Abstract: An image processing method including obtaining a fake template sample group comprising a first source image, a real labeled image, and a fake template image, inputting the fake template image into an identity swapping model to obtain a first identity swapping image of the fake template image, obtaining a fake labeled sample group comprising a second source image, a real template image, and a fake labeled image, the fake labeled image being based on identity swapping processing of the real template image, inputting the real template image into the identity swapping model to obtain a second identity swapping image of the real template image, and training the identity swapping model based on the fake template sample group, the first identity swapping image, the fake labeled sample group, and the second identity swapping image to generate a trained identity swapping model.
    Type: Application
    Filed: January 18, 2024
    Publication date: May 16, 2024
    Applicant: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED.
    Inventors: Keke HE, Junwei ZHU, Ying TAI, Chengjie WANG
  • Publication number: 20240153041
    Abstract: This application discloses a method for generating an image processing model performed by a computer device. The method includes: performing training by using a first source image sample, a first template image sample, and a first standard synthesized image, to obtain a first parameter adjustment model, and combining the first parameter adjustment model and a first resolution update layer into a first update model; adjusting the first update model into a second parameter adjustment model using a second source image sample and a second template image sample and a second standard synthesized image; combining the second parameter adjustment model and a second resolution update layer into a second update model; and adjusting the second update model into a target image fusion model using a third source image sample, a third template image sample and a third standard synthesized image.
    Type: Application
    Filed: January 19, 2024
    Publication date: May 9, 2024
    Inventors: Keke HE, Junwei ZHU, Wenqing CHU, Ying TAI, Chengjie WANG
  • Patent number: 11961242
    Abstract: A target tracking method is provided for a computer device. The method includes determining a target candidate region of a current image frame; capturing a target candidate image matching the target candidate region from the current image frame; determining a target region of the current image frame according to an image feature of the target candidate image; determining motion prediction data of a next image frame relative to the current image frame by using a motion prediction model and according to the image feature of the target candidate image; and determining a target candidate region of the next image frame according to the target region and the motion prediction data.
    Type: Grant
    Filed: September 25, 2020
    Date of Patent: April 16, 2024
    Assignee: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
    Inventors: Yandan Zhao, Chengjie Wang, Weijian Cao, Yun Cao, Pan Cheng, Yuan Huang
  • Patent number: 11928893
    Abstract: An action recognition method includes: obtaining original feature submaps of each of temporal frames on a plurality of convolutional channels by using a multi-channel convolutional layer; calculating, by using each of the temporal frames as a target temporal frame, motion information weights of the target temporal frame on the convolutional channels according to original feature submaps of the target temporal frame and original feature submaps of a next temporal frame, and obtaining motion information feature maps of the target temporal frame on the convolutional channels according to the motion information weights; performing temporal convolution on the motion information feature maps of the target temporal frame to obtain temporal motion feature maps of the target temporal frame; and recognizing an action type of a moving object in image data of the target temporal frame according to the temporal motion feature maps of the target temporal frame on the convolutional channels.
    Type: Grant
    Filed: November 18, 2021
    Date of Patent: March 12, 2024
    Assignee: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
    Inventors: Donghao Luo, Yabiao Wang, Chenyang Guo, Boyuan Deng, Chengjie Wang, Jilin Li, Feiyue Huang, Yongjian Wu
  • Patent number: 11915514
    Abstract: This application relates to a method and an apparatus for detecting facial key points, a computer device, and a storage medium including: acquiring a to-be-detected face image from a current frame; determining partial images in the to-be-detected face image, each partial image including one or more facial key points; determining, within each of the partial images, candidate points of the one or more facial key points corresponding to the partial image, respectively; and jointly constraining the candidate points in the partial images to determine a set of facial key points from the candidate points for the to-be-detected face image. For the partial images in the entire to-be-detected face image, the candidate points of the facial key points corresponding to the partial images are respectively determined. Therefore, a calculation amount may be reduced, and the efficiency of determining the candidate points of the facial key points is improved.
    Type: Grant
    Filed: February 24, 2021
    Date of Patent: February 27, 2024
    Assignee: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
    Inventors: Xuan Cao, Weijian Cao, Yanhao Ge, Chengjie Wang
  • Patent number: 11854310
    Abstract: A face liveness detection method is performed by an electronic device. The method includes: obtaining an initial face image of an object and a face image set of the object captured at N different illumination directions; obtaining N difference images according to the initial face image and the N face images in the face image set; generating a normal map and an albedo map according to the N difference images and the N illumination directions; and determining a face liveness detection result according to the N difference images, the normal map, and the albedo map, the face liveness detection result indicating whether the object has a live face or not. In this application, three-dimensional (3D) geometric information and surface material information of a face image are considered, thereby recognizing the authenticity of the face image, and effectively resisting different face liveness attack manners.
    Type: Grant
    Filed: January 20, 2022
    Date of Patent: December 26, 2023
    Assignee: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
    Inventors: Xuan Cao, Shouhong Ding, Jia Meng, Taiping Yao, Yanhao Ge, Chengjie Wang
  • Publication number: 20230401672
    Abstract: A video processing method includes: obtaining a first video frame and a second video frame in a target video, the first video frame being a previous frame of the second video frame; inputting the first video frame and the second video frame to a target neural network, and obtaining a target intermediate video frame output by the target neural network, the target neural network being trained based on an optical flow distillation constraint and a feature consistency constraint; and interpolating the target intermediate video frame between the first video frame and the second video frame.
    Type: Application
    Filed: August 25, 2023
    Publication date: December 14, 2023
    Inventors: Boyuan JIANG, Lingtong KONG, Donghao LUO, Ying TAI, Chengjie WANG, Xiaoming HUANG, Jilin LI, Feiyue HUANG, Yongjian WU
  • Publication number: 20230394633
    Abstract: This application provides an image processing method and apparatus. The method includes acquiring an identity feature of a source image and an initial attribute feature of at least one measure of a target image in response to receiving a face change request; inputting the identity feature and the initial attribute feature of the at least one measure into a face change model; iteratively performing feature fusion on the identity feature and the initial attribute feature of the at least one measure by using the face change model to obtain a fusion feature; and generating a target face change image based on the fusion feature by using the face change model, and outputting the target face change image, a face in the target face change image being fused with an identity feature of the source face and a target attribute feature of the target face.
    Type: Application
    Filed: November 11, 2022
    Publication date: December 7, 2023
    Inventors: Yuchen LUO, Junwei ZHU, Keke HE, Wenqing CHU, Ying TAI, Chengjie WANG
  • Publication number: 20230326173
    Abstract: Embodiments of this application disclose an image processing method and apparatus, and a computer-readable storage medium. The method includes acquiring an image pair to be processed, and performing image feature extraction on an image to be processed in the image pair to be processed to obtain an image; extracting an association feature from the image feature, the association feature characterizing mutual information between images in the image pair to be processed; identifying a common view image of a common view region in the image to be processed according to the association feature, and calculating a scale difference between common view images; adjusting a size of the common view image based on the scale difference to obtain an adjusted common view image; and extracting at least one common view feature point from each of the adjusted common view images, and processing the image based on the common view feature point.
    Type: Application
    Filed: June 12, 2023
    Publication date: October 12, 2023
    Inventors: Ying CHEN, Shang XU, Dihe HUANG, Jianlin LIU, Yong LIU, Chengjie WANG
  • Publication number: 20230316607
    Abstract: This application provides an image processing method performed by a computer device. The image processing method includes: receiving a face swapping request; acquiring an attribute parameter of the image, an attribute parameter of the target face, and a face feature of the target face, the attribute parameter of the image indicating a three-dimensional attribute of the face in the image; determining a target attribute parameter based on the attribute parameter of the image and the attribute parameter of the target face; determining a target comprehensive feature based on the target attribute parameter and the face feature of the target face; encoding the image to obtain an image encoding feature of the image; migrating the target comprehensive feature to the image encoding feature of the image by normalization to obtain a fusion encoding feature; and decoding the fusion encoding feature to obtain a target face-swapped image including a fusion face.
    Type: Application
    Filed: November 9, 2022
    Publication date: October 5, 2023
    Inventors: Keke HE, Junwei ZHU, Xinyi ZHANG, Ying TAI, Chengjie WANG
  • Publication number: 20230298135
    Abstract: An image super-resolution method includes performing frequency domain transformation on a first image to obtain a spectral feature of the first image, the spectral feature representing a distribution of a grayscale gradient in the first image. The method further includes performing blur kernel prediction based on the spectral feature to obtain a blur kernel of the first image, the blur kernel being a convolution kernel. The method also includes performing super-resolution processing on the first image based on the blur kernel to generate a super-resolved image, a definition of the super-resolved image being higher than a definition of the first image.
    Type: Application
    Filed: May 26, 2023
    Publication date: September 21, 2023
    Applicant: Tencent Technology (Shenzhen) Company Limited
    Inventors: Yun CAO, Guangpin TAO, Xiaozhong JI, Chuming LIN, Ying TAI, Chengjie WANG
  • Publication number: 20230290128
    Abstract: An de-identification method includes: performing sampling on a target space of a projector in a target network model to obtain N virtual identity vectors, N being a positive integer; extracting, by using an attribute extractor in the target network model, M attribute vectors from a target image, M being a positive integer; and generating, by using a generator in the target network model, a de-identified image of the target image based on the N virtual identity vectors and the M attribute vectors.
    Type: Application
    Filed: December 6, 2022
    Publication date: September 14, 2023
    Inventors: Yuchen LUO, Junwei ZHU, Keke HE, Wenqing CHU, Ying TAI, Chengjie WANG
  • Publication number: 20230281833
    Abstract: A facial image processing method includes: obtaining first optical flow information; obtaining, based on the first optical flow information, second optical flow information through an optical flow information prediction sub-model of an image processing model; generating, based on the first facial sample image and the second optical flow information, a predicted image of the first facial sample image through a generator of the image processing model; discriminating the predicted image and the second facial sample image through a discriminator of the image processing model to obtain a first discrimination result and a second discrimination result; and training the image processing model based on the first discrimination result, the second discrimination result, the predicted image, the second facial sample image, the first optical flow information, and the second optical flow information.
    Type: Application
    Filed: May 10, 2023
    Publication date: September 7, 2023
    Inventors: Feida ZHU, Junwei ZHU, Yun CAO, Ying TAI, Chengjie WANG, Jilin LI
  • Publication number: 20230259739
    Abstract: Disclosed herein are an image detection method and apparatus, a computer-readable storage medium, and a computer device. The method includes iteratively training a plurality of neural network models to obtain a plurality of trained neural network model; and performing detection on an image to be detected using the trained plurality of neural network models to obtain a detection result. Each iteration of training includes: for each of a plurality of sample images, separately inputting the sample image into the neural network models to obtain a fuzzy probability value set, and calculating, based on the fuzzy probability value set and preset label information of the sample image, a loss parameter of the sample image; selecting target sample images based on a distribution of loss parameters of the plurality of sample images; and updating the plurality of neural network models based on the target sample images.
    Type: Application
    Filed: April 18, 2023
    Publication date: August 17, 2023
    Applicant: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
    Inventors: Boshen ZHANG, Yabiao Wang, Chengjie Wang, Jilin Li, Feiyue Huang
  • Publication number: 20230245351
    Abstract: Embodiments of this application disclose an image style conversion method performed by an electronic device. The method includes: performing quality enhancement on a first target style image to obtain a second target style image; performing feature extraction on the second target style image to obtain a target style feature; performing migration training on a preset target style conversion model by using a full style conversion model and the target style feature to obtain a target style conversion model; inputting a full style feature, the target style feature, and a to-be-converted image into the target style conversion model, and performing style conversion on the to-be-converted image using the target style conversion model to obtain a target image conforming to a target style.
    Type: Application
    Filed: March 29, 2023
    Publication date: August 3, 2023
    Inventors: Yun CAO, Xinyi ZHANG, Junwei ZHU, Ying TAI, Mu ZHANG, Chengjie WANG, Feiyue HUANG
  • Publication number: 20230237630
    Abstract: This disclosure relates to image processing method and apparatus. The method includes: processing, with a first generator in an image processing model, a first sample image in a first sample set to obtain a first predicted image; processing, with the first generator, a second sample image in a second sample set to obtain a second predicted image; and training the image processing model according to a difference between the target avatar in the first sample image and the first predicted avatar and a difference between a first type attribute of the sample avatar in the second sample image and a first type attribute of the second predicted avatar.
    Type: Application
    Filed: March 31, 2023
    Publication date: July 27, 2023
    Applicant: Tencent Cloud Computing (Beijing) Co., Ltd.
    Inventors: Feida ZHU, Ying TAI, Chengjie WANG, Jilin LI
  • Publication number: 20230237633
    Abstract: An image processing method and apparatus that includes: performing feature extraction processing on N image regions of a to-be-processed image respectively to obtain feature data corresponding to the N image regions respectively, N being an integer greater than or equal to 1, performing defect detection on the N image regions respectively according to the feature data corresponding to the N image regions respectively to obtain a prediction probability of a defect in each of the N image regions, obtaining attention for each image region, adjusting the prediction probability of the defect in each image region according to the attention for each image region, and generating a prediction result of the to-be-processed image according to the adjusted prediction probability of each image region.
    Type: Application
    Filed: April 3, 2023
    Publication date: July 27, 2023
    Applicant: Tencent Cloud Computing (Beijing) Co., Ltd.
    Inventors: Boshen ZHANG, Yabiao WANG, Chengjie WANG, Jilin LI, Feiyue HUANG
  • Patent number: 11710335
    Abstract: The present disclosure describes human body attribute recognition methods and apparatus, electronic devices, and a storage medium. The method includes acquiring a sample image containing a plurality of to-be-detected areas being labeled with true values of human body attributes; generating, through a recognition model, a heat map of the sample image and heat maps of the to-be-detected areas to obtain a global heat map and local heat maps; fusing the global and the local heat maps to obtain a fused image, and performing human body attribute recognition on the fused image to obtain predicted values; determining a focus area of each type of human body attribute according to the global and the local heat maps; correcting the recognition model by using the focus area, the true values, and the predicted values; and performing, based on the corrected recognition model, human body attribute recognition on a to-be-recognized image.
    Type: Grant
    Filed: October 19, 2021
    Date of Patent: July 25, 2023
    Assignee: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
    Inventors: Keke He, Jing Liu, Yanhao Ge, Chengjie Wang, Jilin Li
  • Publication number: 20230098548
    Abstract: A computing device acquires an original image sequence. The device performs image preprocessing on the original image sequence to obtain a feature map sequence and a confidence map sequence that are corresponding to the original image sequence. The device performs feature fusion on the feature map sequence based on the confidence map sequence, to obtain a target fused feature map corresponding to a target original image frame in the original image sequence. The device reconstructs the target original image frame based on the target fused feature map to obtain a target reconstructed image frame. Credibility supervision at the pixel level is performed on features in the feature fusion process to guide the fusion of image features with high credibility, thereby improving the image quality of a reconstructed image.
    Type: Application
    Filed: November 28, 2022
    Publication date: March 30, 2023
    Inventors: Xinyi ZHANG, Junwei ZHU, Wenqing CHU, Ying TAI, Chengjie WANG, Jilin LI, Feiyue HUANG