US20260057580
2026-02-26
Physics
G06T11/60
The patent application describes a data processing system that enhances the process of capturing and designing photos through artificial intelligence (AI). By utilizing metadata from a photo, such as location, time, and image tags, the system generates photo design suggestions. These suggestions include inserting foreground objects or extracting text from metadata to create prompts, which are then displayed on a user's device. This approach aims to simplify the process of finding and implementing photography ideas.
AI tools have become increasingly popular in photography, aiding in automatic camera adjustments for optimal results. However, users often face challenges in finding and executing creative photoshoot ideas. Current tools require significant manual effort to locate scenes and adjust settings. This patent addresses these challenges by providing an AI-driven solution that automates the generation of photoshoot ideas and simplifies their implementation.
The system employs a novel AI pipeline that enhances the efficiency and quality of photo design. By applying machine learning and generative AI, it generates creative photo ideas by blending subjects from user-captured photos into various backgrounds. The pipeline can also utilize text-to-image models to create design suggestions based on photo metadata. This automation reduces the need for manual research and planning, making photography more accessible and engaging.
The system operates within a computing environment that includes client devices and an application services platform. This platform provides cloud-based applications to support AI-based photography tools. By leveraging generative AI, the platform quickly produces satisfactory photo design suggestions on demand. This integration not only enhances user experience but also allows for the storage of design suggestions as templates, facilitating future photo creation across various visual content types.