公开(公告)号：US20240419295A1

公开(公告)日：2024-12-19

申请号：US18209144

申请日：2023-06-13

Applicant: Sergey Smetanin ,  Dor Ayalon ,  Vladimir Gordienko ,  Roman Golobokov ,  Ivan Babanin ,  Timur Zakirov ,  Nikita Demidov ,  Aleksandr Larionov ,  Anna Kovalenko ,  Nikita Belosludtcev

Inventor： Sergey Smetanin ,  Dor Ayalon ,  Vladimir Gordienko ,  Roman Golobokov ,  Ivan Babanin ,  Timur Zakirov ,  Nikita Demidov ,  Aleksandr Larionov ,  Anna Kovalenko ,  Nikita Belosludtcev

IPC: G06F3/04817 ,  G06F3/0482 ,  H04L51/046 ,  H04L51/10

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.

公开(公告)号：US20240412433A1

公开(公告)日：2024-12-12

申请号：US18505785

申请日：2023-11-09

Applicant: Sergey Smetanin ,  Pavel Savchenkov ,  Viktar Atliha ,  Georgii Grigorev ,  Ivan Babanin ,  Prasad Tare ,  Inna Zaitseva ,  Anna Kovalenko ,  Dmytro Rudenko

Inventor： Sergey Smetanin ,  Pavel Savchenkov ,  Viktar Atliha ,  Georgii Grigorev ,  Ivan Babanin ,  Prasad Tare ,  Inna Zaitseva ,  Anna Kovalenko ,  Dmytro Rudenko

IPC: G06T11/60 ,  G06F3/0482 ,  G06F3/0488 ,  G06T13/80

Abstract: A mobile application with an improved user interface facilitates generating stylized media content items including images and videos. An end-user selects a desired visual effect from a set of options. The mobile application captures or accesses an image. The image is processed on a server using a generative neural network pre-trained to apply stylizations based on the selected effect. The server sends back the stylized image to the mobile application for display. The end-user can then save the stylized image or generate a video (e.g., an animation) showing the original image transition to the stylized image. The user interface provides an efficient creative workflow to apply aesthetic enhancements in a visual style chosen by the end-user. Generative machine learning techniques automate stylization to enable accessible media customization and sharing.