Personalized Digital Content Generation via AI Image Synthesis
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Solution Overview
Problem
Current methods for previewing digital content at travel destinations fail to provide users with a personalized view of what they will look like at those locations, leading to reduced user satisfaction and efficiency.
Innovation Solution
A client device with a content control module that automatically generates personalized digital content by incorporating user representations into environment digital content from web-scraped data, using AI segmentation and visual adjustments to create photorealistic images, and provides a personalized itinerary for capturing similar content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If users view photographs of other individuals at locations, then users can see what locations look like, but users cannot see what it would look like if they were at the location themselves
Solution Approach 1:
The system creates a personalized copy of the location scene by synthesizing the user's image into the destination environment. Instead of showing only other people's photos, the system generates a customized preview where the user appears to be at the location, providing both location information and personalization information simultaneously.
Solution Approach 2:
The system performs preliminary content generation before the user actually visits the location. By creating personalized previews in advance using AI image synthesis, users can see what their trip will look like before they go, enabling better trip planning and anticipation.
2Reliability
If AI segmentation and image synthesis are used to create personalized content, then user satisfaction is enhanced, but processing time and computational resources increase
Solution Approach 1:
The system performs the computationally intensive AI segmentation and image synthesis in advance, before the user needs to view the personalized content. This preliminary processing allows the system to generate high-quality photorealistic images without causing delays when users access their personalized previews.
Solution Approach 2:
The system creates simplified copies or representations of the user's image that can be efficiently synthesized into the destination environment. By using AI to generate these personalized copies beforehand, the system maintains high photorealism quality while reducing the computational burden during user interaction.
3Loss of information
If the system generates personalized digital content by incorporating user representations into environment digital content, then users can visualize themselves at destinations, but the system complexity increases
Solution Approach 1:
The system segments the content generation process into distinct modules: one module handles user representation processing, another handles environment digital content processing, and a third handles the synthesis of combining these elements. This segmentation manages system complexity by breaking down the complex task into manageable, specialized components.
Solution Approach 2:
The system introduces an intermediary AI processing layer that mediates between the user representation data and the environment digital content. This intermediary component handles the complex synthesis operations, isolating the complexity from the user interface and making the overall system more manageable and maintainable.
Data Source
AI summary
Techniques for personalized digital content generation are described and are implementable to generate digital content based on content that depicts a scene from one or more locations and content that depicts one or more individuals. The described implementations, for instance, enable generation of a personalized photo album for a user depicting the user at the one or more locations. The described implementations further enable generation of an itinerary including personalized digital content. In an example, an input including a location is received. Environment content is generated that depicts a scene of the location. User content is generated that includes a representation of one or more individuals. Personalized content is then generated by incorporating the representation of the one or more individuals into the scene, and the personalized content is output for display. The personalized content is further usable to generate a personalized itinerary for a user.