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.

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.

Abstract: Embodiments of this disclosure disclose a virtual item control method and apparatus, a terminal, and a non-transitory storage medium, and belong to the field of computer technologies. The method includes: displaying a plurality of item icons after a press operation on a throw button is detected; controlling, in response to the press operation moving to the target item icon and a duration reaches a target duration, a virtual object to hold a target virtual item corresponding to the target item icon; controlling, in response to a movement of the press operation, the virtual object to aim at a target position; and controlling, in response to a release of the press operation, the virtual object to throw the target virtual item to the target position.

Abstract: A processing method includes acquiring, by a first service node of a first blockchain, a cross-chain transfer request, the cross-chain transfer request including a virtual resource value, a first resource transfer-out address on the first blockchain, and a first resource transfer-in address on a second blockchain. The cross-chain transfer request is used by a second service node of the second blockchain to lock a first virtual resource of the virtual resource value in the second blockchain. The method further includes performing resource transfer-out processing on a second virtual resource associated with the virtual resource value in the first resource transfer-out address in response to a determination that the second service node locked the first virtual resource successfully. The method further includes transferring the first virtual resource to the first resource transfer-in address in the second blockchain in response to a determination that the second virtual resource was transferred out.

Abstract: Disclosed is a data synchronization method performed by a computer device, the method including: receiving a piece of transaction data, the piece of transaction data carrying an update operation identifier and a predefined phrase corresponding to the update operation identifier; obtaining, in a case that a target block including the piece of transaction data is stored into a blockchain of a blockchain system, the update operation identifier and the predefined phrase in the target block; and updating a predefined phrase database according to the update operation identifier and the predefined phrase in the target block.

Abstract: Provided are an artifact removal method and apparatus based on machine learning (ML), and a method and apparatus for training an artifact removal model based on ML, in the field of artificial intelligence (AI). In the method, artifacts that may be generated in a process of compressing a video is preprocessed and removed by using an artifact removal model having a residual learning capability.

Abstract: A method for controlling a virtual object to mark a virtual item is provided. The method includes: displaying a virtual environment picture, the virtual environment picture including the virtual object and the virtual item in a virtual environment; controlling the virtual object to move, in the virtual environment, into a proximity range of the virtual item; displaying a pick-up item list on the virtual environment picture, a field of the virtual item available for pick-up being displayed in the pick-up item list; and receiving a mark operation on the field of the virtual item, and marking the virtual item in the virtual environment according to the mark operation, the mark operation being an operation different from a pick-up operation.

Abstract: A computer device obtains a to-be-segmented image that includes a plurality of extreme points corresponding to a target object in the to-be-segmented image. The device generates first image feature information according to the to-be-segmented image. The first image feature information includes N image matrices and a first heatmap that is generated according to the extreme points. The device obtains a first image segmentation region corresponding to the first image feature information using a first image segmentation model. The device also obtains a second heatmap according to an annotation point corresponding to the first image segmentation region and the first image segmentation region. The device obtains a second image segmentation region corresponding to the to-be-segmented image using a second image segmentation model. The device generates an image recognition result according to the second image segmentation region.

Abstract: This application discloses an image processing method, device, and apparatus, and a storage medium. The method is performed by a computing device, the method including: receiving an input image; determining a context feature of the input image; determining a first feature set and a second feature set according to the context feature and based on a size of a target image and a location of the input image in the target image; adjusting the second feature set according to a first feature statistic of the first feature set, to obtain an adjusted second feature set; and generating the target image based on the adjusted second feature set and the first feature set.

Abstract: 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.

Abstract: A streaming method executed by a control device includes receiving a streaming media playback address of a cloud streaming service returned by a cloud device, and transmitting a media projection request corresponding to a local media file stored on the control device to a playback device. The method further includes transmitting a loading instruction indicating to start loading the virtual scene to the cloud device, generating initial file parameters corresponding to the local media file and replacing a file address of the local media file in the initial file parameters with the streaming media playback address to obtain modified file parameters. The method further includes returning the modified file parameters to the playback device, the modified file parameters providing the streaming media playback address instead of the initial file parameters corresponding to the local media file.

Abstract: This disclosure relates to a role conversion method and apparatus. The method may include displaying a virtual environment. A first virtual object and a second virtual object are being displayed in the virtual environment. The method may further include obtaining a role conversion instruction for the first virtual object and converting the first virtual object to a target virtual object having a same role as the second virtual object in response to the role conversion instruction. The method may further include assigning a role attribute the same as that of the second virtual object to the target virtual object.

Abstract: A data processing method includes: obtaining a to-be-detected text, and determining a context word set and a candidate substitute word set corresponding to a to-be-detected word in the to-be-detected text to be inputted into a pronoun resolution neural network for feature extraction; performing positive-example iteration processing and negative-example iteration processing on the features corresponding to the context word set and the candidate substitute word set, to obtain a positive-example feature vector length and a negative-example feature vector length, and calculating a substitute probability corresponding to each candidate substitute word in the candidate substitute word set according to the positive-example feature vector length and the negative-example feature vector length; determining a target substitute word according to the substitute probability corresponding to the each candidate substitute word; and inserting the target substitute word into the to-be-detected text according to a position corr

Abstract: An apparatus, method and storage medium for controlling a pathologic microscope are provided. The method includes obtaining a pathological digital image from an incident optical path of the pathologic microscope; performing artificial intelligence (AI) analysis on the pathological digital image to generate AI analysis information; and controlling an augmented reality (AR) projection component to project the AI analysis information on a microscopic field of the pathologic microscope on an outgoing optical path.

Abstract: A program testing method is provided. The method includes receiving a test account adding instruction the test account adding instruction identifying a second test account, acquiring a first target code corresponding to a target program in response to the test account adding instruction, the first target code corresponding to a first page, a first test account being logged in on the first page, and the first page being generated according to the first target code, generating a second page corresponding to the second test account according to the first target code, and interacting through the first page and the second page to test the target program. Apparatus and computer-readable medium counterpart embodiments are also provided.

Abstract: A medical image processing method includes: obtaining a biological tissue image including a biological tissue, recognizing, in the biological tissue image, a first region of a lesion object in the biological tissue; recognizing a lesion attribute matching the lesion object; dividing an image region of the biological tissue in the biological tissue image into a plurality of quadrant regions; obtaining target quadrant position information of a quadrant region in which the first region is located; and generating medical service data according to the target quadrant position information and the lesion attribute.

Abstract: A method includes obtaining a first image to be rendered, obtaining a target mask image corresponding to the first image where a g component of the target mask image stores first light change data and a b component of the target mask image stores second light change data, the first light change data being change data of light on a left side of the first image used when the first image is rendered and the second light change data being change data of light on a right side of the first image used when the first image is rendered, and rendering the first image by using the target mask image to obtain a second image.

Abstract: A video content recognition method is performed by a computer device, the method including: obtaining an image feature corresponding to a video frame set extracted from a target video; dividing the image feature into a plurality of image sub-features according to a preset sequence, and each image sub-feature having a corresponding channel; choosing, from the image sub-features based on the preset sequence, a current image sub-feature; image sub-feature fusing the current image sub-feature and a convolution processing result of a previous image sub-feature into a fused image sub-feature, and performing convolution processing on the fused image sub-feature, to obtain a convolved image sub-feature corresponding to the current image sub-feature; splicing a plurality of convolved image sub-features corresponding to the plurality of channels of the convolved image sub-feature, to obtain a spliced image feature; and determining video content corresponding to the target video based on the spliced image feature.

Abstract: A method for adding a map element is provided. In the method, a name of a layer to which a map element to be added by a target application program belongs, display follow information of the map element in the layer, and weather impact information of the map element are generated. A preform of the map element is generated in a target folder. Further, code configured to update the map element. The code indicates a storage position of the preform of the map element and display state information of the map element being displayed in the layer. Apparatus and non-transitory computer-readable storage medium counterpart embodiments are also contemplated.

Abstract: In a display method, a first picture of a first game mode is displayed in a first display area of a video game interface. A request to play a first video of the first game mode is received via the video game interface. The first video is played in the first display area in response to the request to play the first video, the first video including instructional pictures of the first game mode.