Abstract: Examples in the present disclosure relate to prompt-driven, conversation-specific image generation. A first user device of a first user of an interaction application transmits an image generation request. The interaction application enables the first user to interact with at least a second user. An image is automatically generated based on a prompt included in the image generation request, and the image is presented at the first user device. In response to receiving user input to select the image, the image is stored as a conversation-specific image in association with a first user profile of the first user and a second user profile of the second user. The conversation-specific image is presented at both the first user device of the first user and a second user device of the second user, together with conversation data associated with a conversation between the first user and the second user.

Abstract: Examples disclosed herein describe techniques related to automated image generation in an interaction system. An image generation request is received from a first user device associated with a first user of an interaction system. The image generation request comprises a text prompt. Responsive to receiving the image generation request, an image is automatically generated by an automated text-to-image generator, based on the text prompt. The image is caused to be presented on the first user device. An indication of user input to select the image is received from the user device. Responsive to receiving the indication of the user input to select the image, the image is associated with the first user within the interaction system, and a second user of the interaction system is enabled to be presented with the image.

Abstract: A method includes determining participation in an interaction function by a first user of an interaction system with a second user of the interaction system. The method also includes accessing profile data of the first user, and determining, based on the profile data, whether the first user has captured or designated a first-user self-image for use in the interaction function. In response to determining that the first user has not captured or designated the first-user self-image, the method includes accessing a media content item that includes a character, identifying a head portion of the character in the media content item, replacing the head portion with a placeholder space, and displaying the media content item with the placeholder space in a user interface corresponding to the interaction function.

Abstract: Methods and systems are disclosed for enhancing or modifying an image by a diffusion model. The methods and systems receive a first image depicting a real-world scene including a target object and receive input associated with adjusting a zoom level of the first image. The methods and systems, in response to receiving the input, modify the zoom level associated with the first image to generate a second image having a view of the target object that is different from a view of the target object in the first image. The methods and systems analyze the second image using a generative machine learning model to generate an artificial image that modifies portions of the second image to improve the view of the target object relative to the second image.

Abstract: Examples described herein relate to techniques for facilitating selection of stickers for inclusion in messages within the context of an interaction system. According to some examples, message content is detected and a set of candidate stickers is identified based on the message content. A search icon is dynamically replaced with a representation of respective ones of the set of candidate stickers. At a first point in time, the search icon represents a first candidate sticker of the set of candidate stickers. At a second point in time, the search icon represents a second candidate sticker of the set of candidate stickers.

Abstract: Examples described herein relate to techniques for facilitating selection of stickers for inclusion in messages within the context of an interaction system. According to some examples, sticker selection history data of a user of an interaction application is retrieved. Absence of a sticker suggestion trigger with respect to a messaging interface of the interaction application is detected. Presence of the sticker suggestion trigger results in presentation of a suggested sticker for transmission via the messaging interface. Based on the sticker selection history data and the absence of the sticker suggestion trigger, a sticker search icon state is selected. A search icon corresponding to the sticker search icon state is caused to be presented within the messaging interface.

Abstract: Examples disclosed herein describe techniques related to automated image generation in an interaction system. An image generation request is received from a first user device associated with a first user of an interaction system. The image generation request comprises a text prompt. Responsive to receiving the image generation request, an image is automatically generated by an automated text-to-image generator, based on the text prompt. The image is caused to be presented on the first user device. An indication of user input to select the image is received from the user device. Responsive to receiving the indication of the user input to select the image, the image is associated with the first user within the interaction system, and a second user of the interaction system is enabled to be presented with the image.

Abstract: A method includes determining participation in an interaction function by a first user of an interaction system with a second user of the interaction system. The method also includes accessing profile data of the first user, and determining, based on the profile data, whether the first user has captured or designated a first-user self-image for use in the interaction function. In response to determining that the first user has not captured or designated the first-user self-image, the method includes accessing a media content item that includes a character, identifying a head portion of the character in the media content item, replacing the head portion with a placeholder space, and displaying the media content item with the placeholder space in a user interface corresponding to the interaction function.

Abstract: The invention relates to a product identification system when the goods are purchased by a buyer in a self-service store. The product identification system in the self-service store includes a scanning device, a goods collecting device with an individual identification number, a camera, at least one self-service payment terminal and a server. The scanning device reads the identification number, scans the barcodes of goods, creates a list of goods and a resulting barcode. The camera is installed on the goods collecting device and reads images of the goods and tracks its movement. The terminal sends information to the server, wherein the server receives and analyzes information from the camera and terminal. In case when the information from the camera and from the resulting barcode coincide, the buyer pays for the purchase, and receives a check.

Abstract: The invention relates to a product identification system when the goods are purchased by a buyer in a self-service store. The product identification system in the self-service store includes a scanning device, a goods collecting device with an individual identification number, a camera, at least one self-service payment terminal and a server. The scanning device reads the identification number, scans the barcodes of goods, creates a list of goods and a resulting barcode. The camera is installed on the goods collecting device and reads images of the goods and tracks its movement. The terminal sends information to the server, wherein the server receives and analyzes information from the camera and terminal. In case when the information from the camera and from the resulting barcode coincide, the buyer pays for the purchase, and receives a check.