Interactive Image Generation With Partial 3D Scene Modeling
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Solution Overview
Problem
Existing techniques for generating three-dimensional models or specifications for interactive images are resource-intensive and prohibitive for many applications, making efficient interactive image generation challenging.
Innovation Solution
A content generation platform that combines actually captured content with computer-generated content using neural networks, allowing for the creation of interactive images with partial three-dimensional capabilities through a process involving a backend stage for image capture, an image processing stage using machine learning, and a front end stage for user interaction and customization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If existing techniques for generating three-dimensional models or specifications are used, then complete 3D models can be created, but the process becomes resource-intensive and prohibitive
Solution Approach 1:
The patent applies partial action by generating only the necessary portions of 3D information needed for interactive image generation. Instead of creating complete 3D models, the system processes images to extract sufficient geometric and semantic data to enable interactive operations, thereby reducing computational resources while maintaining functionality
Solution Approach 2:
The patent segments the image generation process into distinct stages: initial image processing, selective 3D feature extraction, and interactive image synthesis. This segmentation allows the system to focus computational resources only on generating the specific 3D characteristics needed for interactivity, rather than producing comprehensive 3D models
2Adaptability or versatility
If complete three-dimensional models are generated, then full interactivity is achieved, but resource consumption becomes prohibitive
Solution Approach 1:
The system generates only partial 3D information sufficient for interactive operations. By extracting and processing only the essential geometric features needed for user interaction rather than complete model data, the patent reduces computational energy consumption while preserving adaptability and versatility
Solution Approach 2:
The patent applies local quality by concentrating computational resources on generating 3D characteristics in specific regions or aspects of the image that are most important for interactivity. This selective approach maintains versatility where needed while minimizing overall resource consumption
Data Source
AI summary
A content generation platform is generally described herein. More specifically, interactive image generation and techniques and features thereof are disclosed herein. One or more sets of images of a scene are captured in an imaging studio. The captured one or more sets of images of the scene are processed using one or more machine learning based networks to generate an interactive image of the scene comprising a plurality of interactive features. One or more of the plurality of interactive features of the generated interactive image may be modified or edited according to user preferences.