Abstract: Provided are a face image processing method and apparatus, an image device, and a storage medium. The face image processing method includes: acquiring first-key-point information of a first face image; performing position transformation on the first-key-point information to obtain second-key-point information conforming to a second facial geometric attribute, the second facial geometric attribute being different from a first facial geometric attribute corresponding to the first-key-point information; and performing facial texture coding processing by utilizing a neural network and the second-key-point information to obtain a second face image.

Abstract: The present application provides a method and apparatus of creating a face model, and an electronic device. The method includes: obtaining at least one key point feature of an current face image by performing key point detection on the current face image; obtaining a target bone parameter set matching the current face image according to the at least one key point feature; and creating a virtual three-dimensional face model corresponding to the current face image according to the target bone parameter set and a standard three-dimensional face model.

Abstract: Methods, electronic devices, and storage media for driving an interaction object are provided. The methods include: obtaining an audio signal at a periphery of a display device; obtaining, based on the audio signal, first driving data for driving the interaction object to respond; monitoring, in response to outputting the first driving data, the audio signal for detecting a sound of a target object; and driving, based on a presence state of the sound of the target object in the audio signal, the interaction object to respond.

Abstract: Embodiments of the present disclosure disclose image processing methods and apparatuses, image devices, and storage media. The image processing method includes: obtaining an image; obtaining the feature of the limb of the body based on the image, where the limb includes the upper limb and/or the lower limb; determining first-type movement information of the limb based on the feature; and controlling the movement of the limb of a controlled model according to the first-type movement information.

Abstract: A face image processing method and apparatus, an electronic device, and a storage medium are provided. The method includes: obtaining face key points and a face deflection angle in a face image; determining a submalar triangle center in the face image according to the face key points and the face deflection angle; determining a submalar triangle region in the face image according to the face key points and the submalar triangle center; and performing color filling on the submalar triangle region. By means of the present disclosure, a submalar triangle region can be accurately positioned, and submalar triangle filling is performed based on the accurately positioned submalar triangle region, thereby obtaining a more natural filling effect.

Abstract: A face image processing method and apparatus, an electronic device, and a storage medium are provided. The method includes: obtaining face key points and a face deflection angle in a face image; determining a submalar triangle center in the face image according to the face key points and the face deflection angle; determining a submalar triangle region in the face image according to the face key points and the submalar triangle center; and performing color filling on the submalar triangle region. By means of the present disclosure, a submalar triangle region can be accurately positioned, and submalar triangle filling is performed based on the accurately positioned submalar triangle region, thereby obtaining a more natural filling effect.

Abstract: A morphing part to be morphed and a morphing effect are acquired. Human body contour point information is acquired by detecting a human contour point of a human sideway image. A morphing region is determined according to the human contour point information and the morphing part. The morphing region is an image region to be morphed in the human sideway image. A human orientation is determined according to the human contour point information. A morphing direction of the morphing region is determined according to the human orientation and the morphing effect. Morphing is performed along the morphing direction in the morphing region.

Abstract: A target tracking method includes: obtaining feature data of a reference frame of a first image frame, wherein the first image frame and at least one second image frame have the same reference frame; and determining the position of a tracking target in the first image frame based on the feature data of the reference frame. Based on the embodiments in the present disclosure, feature data of a reference frame of a first image frame is acquired, and the position of a tracking target in the first image frame is determined based on the feature data of the reference frame.

Abstract: A display method, an electronic device, and a storage medium are provided. The method includes: detecting state information of a first object; if the state information indicates that the first object appears or disappears, determining whether a trigger condition is satisfied according to the state information; and if the trigger condition is satisfied, transforming display of a second object according to a trigger event corresponding to the trigger condition, where the second object is independent of the first object.

Abstract: Stroke special effect program file package generating methods and apparatuses, and stroke special effect generating methods and apparatuses are provided. The stroke special effect program file package generating method includes: obtaining a parameter value of a stroke effect parameter of a target object; and generating a stroke special effect program file package according to the parameter value of the stroke effect parameter of the target object.

Abstract: The present disclosure relates to a video repair method and apparatus, an electronic device, and a storage medium.

Abstract: An image processing method and apparatus, a device, and a storage medium are provided. The image processing method includes: obtaining key points of a reference region of an object in an image; determining the orientation of the reference region according to the key points of the reference region; and performing deformation processing on a region to be adjusted of the object based on the orientation of the reference region, where the region to be adjusted is the same as or different from the reference region.

Abstract: A method for generating a special effect program file package and a method for generating a special effect are provided. The method for generating a special effect program file package includes: importing a sub-material; obtaining a parameter value of a playback parameter of the sub-material and establishing a correspondence between a display position of the sub-material and at least one predetermined key point; and generating a special effect program file package according to the sub-material, the correspondence and the parameter value. The method for generating a special effect includes: importing a special effect program file package; obtaining a parameter value of a playback parameter of a sub-material in the special effect program file package; performing key point detection on a video image; and generating a special effect of the sub-material on the video image based on the detected key point and the parameter value of the playback parameter.

Abstract: Disclosed are methods, apparatuses and systems for CNN network adaption and object online tracking. The CNN network adaption method comprises: transforming a first feature map into a plurality of sub-feature maps, wherein the first feature map is generated by the pre-trained CNN according to a frame of the target video; convolving each of the sub-feature maps with one of a plurality of adaptive convolution kernels, respectively, to output a plurality of second feature maps with improved adaptability; training, frame by frame, the adaptive convolution kernels.

Abstract: Examples of the present disclosure provide a face matching method and a face matching apparatus, and a storage medium. The face matching method includes: obtaining a first attribute of first face information which is to be matched; determining one or more preferential matching ranges based on the first attribute; and comparing the first face information with second face information in the one or more preferential matching ranges.

Abstract: A method and apparatus for method for image processing, and a computer storage medium are provided. The method includes: obtaining a first image, identifying a target object in the first image, and obtaining leg detection information of the target object; respectively determining a contour line and a target line of a leg region of the target object based on the leg detection information; and performing image deformation processing on the leg region based on the contour line and the target line of the leg region to generate a second image.

Abstract: The present disclosure relates to an image processing method and device, an electronic apparatus and a storage medium. The method comprises: performing feature extraction on an image to be processed to obtain a first feature map of the image to be processed; splitting the first feature map into a plurality of first sub-feature maps according to dimension information of the first feature map and a preset splitting rule, wherein the dimension information of the first feature map comprises dimensions of the first feature map and size of each dimension; performing normalization on the plurality of first sub-feature maps respectively to obtain a plurality of second sub-feature maps; and splicing the plurality of second sub-feature maps to obtain a second feature map of the image to be processed. Embodiments of the present disclosure can reduce the statistical errors during normalization of a complete feature map.

Abstract: An image processing method and apparatus, and a computer-readable storage medium are provided. The method includes: determining a first region matching a target object in a first image; determining a deformation parameter based on a preset deformation effect, the deformation parameter being used for determining a position deviation, generated based on the preset deformation effect, of each pixel point of the target object; and performing deformation processing on the target object in the first image based on the deformation parameter to obtain a second image.

Abstract: A face anti-counterfeiting detection method includes: obtaining an image or video to be detected containing a face; extracting a feature of the image or video to be detected, and detecting whether the extracted feature contains counterfeited face clue information; and determining whether the face passes the face anti-counterfeiting detection according to a detection result.

Abstract: Provided are a method and apparatus for generating a three-dimensional model. The method includes following. A first image containing a first face is acquired. First point cloud data including contour information of the first face is determined based on the first image. First albedo information of the first face and second point cloud data including detail information of the first face are determined based on the first point cloud data and the first image. A three-dimensional model of the first face is generated based on the first albedo information and the second point cloud data.