This disclosure is directed to a method and apparatus for displaying an expression in a virtual scene. The method includes: displaying a virtual scene; displaying an expression selection region at a first target position in the virtual scene in response to a drag operation on an expression addition icon; and displaying the first target expression in the virtual scene in response to a selection operation on a first target expression in a plurality of first candidate expressions.

A geographic position of an agricultural machine is captured. Agricultural data is received that corresponds to a geographic position. Georeferenced visual indicia are displayed that are indicative of the received agricultural data.

A geographic position of an agricultural machine is captured. Agricultural data is received that corresponds to a geographic position. Georeferenced visual indicia are displayed that are indicative of the received agricultural data.

This disclosure describes methods, non-transitory computer readable storage media, and systems that generate synthetized digital images using class-specific generators for objects of different classes. The disclosed system modifies a synthesized digital image by utilizing a plurality of class-specific generator neural networks to generate a plurality of synthesized objects according to object classes identified in the synthesized digital image. The disclosed system determines object classes in the synthesized digital image such as via a semantic label map corresponding to the synthesized digital image. The disclosed system selects class-specific generator neural networks corresponding to the classes of objects in the synthesized digital image. The disclosed system also generates a plurality of synthesized objects utilizing the class-specific generator neural networks based on contextual data associated with the identified objects. The disclosed system generates a modified synthesized digital image by replacing the identified objects in the synthesized digital images with the synthesized objects.

Systems, methods, and computer readable media for messaging system with augmented reality (AR) makeup are presented. Methods include processing a first image to extract a makeup portion of the first image, the makeup portion representing the makeup from the first image and training a neural network to process images of people to add AR makeup representing the makeup from the first image. The methods may further include receiving, via a messaging application implemented by one or more processors of a user device, input that indicates a selection to add the AR makeup to a second image of a second person. The methods may further include processing the second image with the neural network to add the AR makeup to the second image and causing the second image with the AR makeup to be displayed on a display device of the user device.

Systems, methods, and computer readable media for messaging system with augmented reality (AR) makeup are presented. Methods include processing a first image to extract a makeup portion of the first image, the makeup portion representing the makeup from the first image and training a neural network to process images of people to add AR makeup representing the makeup from the first image. The methods may further include receiving, via a messaging application implemented by one or more processors of a user device, input that indicates a selection to add the AR makeup to a second image of a second person. The methods may further include processing the second image with the neural network to add the AR makeup to the second image and causing the second image with the AR makeup to be displayed on a display device of the user device.

Systems and methods for image processing are described. One or more embodiments of the present disclosure compare a vector graphics object with a guide line to obtain an attachment point of the vector graphics object, modify the guide line to obtain a guide shape, extend a line through the attachment point to obtain a projected point on the guide shape, divide the guide shape based on the projected point to obtain a partial curve, and modify the vector graphics object based on the partial curve to obtain a modified vector graphics object.

Systems and methods for image processing are described. One or more embodiments of the present disclosure compare a vector graphics object with a guide line to obtain an attachment point of the vector graphics object, modify the guide line to obtain a guide shape, extend a line through the attachment point to obtain a projected point on the guide shape, divide the guide shape based on the projected point to obtain a partial curve, and modify the vector graphics object based on the partial curve to obtain a modified vector graphics object.

An information distribution apparatus includes an imaging unit configured to capture a captured image including a specific object, an object image acquisition unit configured to acquire an object image of the specific object from the captured image, and a try-on data generation unit configured to generate try-on data based on a registration avatar in a virtual space and the object image.

An image processing apparatus includes: an image acquisition unit configured to acquire a photographed image; an editing unit configured to edit the photographed image by executing an action including an application and image processing that is a function of the application; an information acquisition unit configured to acquire photographing information on photographing of the photographed image; a first acquisition unit configured to acquire first history information indicating a history of actions for the photographed image; a second acquisition unit configured to acquire second history information based on at least a history of actions for an image different from the photographed image; and a control unit configured to determine a candidate for an action that is to be executed next on a basis of the first history information and the second history information and perform control to notify the determined candidate.