US20250363676
2025-11-27
Physics
G06T11/00
A data processing system is designed to create electronic sticker packs using artificial intelligence. This system includes a processor and memory that work together to execute specific functions. Users provide text input describing the desired sticker pack, which is then used to generate a prompt tailored for sticker creation. This prompt is submitted to a generative artificial intelligence (GAI) system that creates an image for the sticker pack. The resulting image undergoes segmentation and filtering through a post-processing system to produce a finalized set of stickers ready for user use.
Electronic stickers serve as a dynamic form of expression in digital communication, distinct from standard emojis due to their elaborate designs and thematic diversity. They first gained popularity in the early 2010s with messaging apps like Line and Telegram. As digital communication evolved, these stickers became integral features on platforms such as Facebook, Instagram, and WhatsApp. Users can access extensive libraries of themed sticker collections, which can be freely available or offered as premium content.
The proposed system allows users to generate customized electronic stickers by inputting text descriptions through a user interface. A prompt generator uses this input alongside a specific template to create a prompt for the GAI. The GAI then produces an image based on this prompt, which undergoes post-processing to ensure the stickers meet user needs. This process eliminates the need for users to search through extensive sticker catalogs, offering a personalized and efficient solution.
Generative AI, particularly through techniques like Generative Adversarial Networks (GANs), enables the creation of new data that closely resembles real-world examples. In this context, text-to-image models allow users to describe an image in text form, which the AI then translates into a visual representation. These models, exemplified by innovations such as OpenAI's DALL-E, demonstrate significant advancements in generating detailed and coherent images from textual descriptions.
The term "sticker" refers specifically to electronic stickers used across various digital platforms for communication. A "sticker pack" denotes a themed collection of multiple stickers. The AI Sticker Pack feature empowers users to create unique sticker sets based on textual descriptions using generative AI. This capability enhances creative expression across social media and other digital platforms, leveraging deep learning, image processing, and post-processing techniques to produce visually appealing custom sticker packs.