Neural Interactive Image Generation from Limited Scene Capture
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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 difficult.
Innovation Solution
A content generation platform that merges actually captured content with computer-generated content using neural networks, allowing for the creation of interactive imagery with partial three-dimensional capabilities, utilizing a controlled imaging environment and machine learning algorithms to process a small number of images, providing features like object modification, lighting, and background manipulation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing techniques are used to generate complete three-dimensional models or specifications for interactive images, then interactive features can be provided, but the process becomes resource-intensive and prohibitive
Solution Approach 1:
The patent applies partial action by generating only the necessary three-dimensional information needed for interactive features rather than complete three-dimensional models. The system processes a small number of input images to extract sufficient geometric and semantic data to enable interactive manipulation, such as object removal, background replacement, and viewpoint changes, without constructing full three-dimensional representations of all scene elements.
Solution Approach 2:
The patent uses copying by creating simplified three-dimensional representations or proxies of scene elements from limited input images. These copies contain the essential geometric and semantic information needed for interactive operations but are far less resource-intensive than complete three-dimensional models. The system generates synthetic views by manipulating these copied representations rather than working with full three-dimensional data.
2Adaptability or versatility
If complete three-dimensional models are generated to enable interactive features, then image manipulation capabilities are improved, but the time and resources required increase significantly
Solution Approach 1:
The system performs partial action by extracting only the specific three-dimensional attributes necessary for the desired interactive features from a small number of input images. Rather than generating complete three-dimensional models, the system processes minimal data to achieve the required manipulation capabilities, significantly reducing processing time while maintaining functionality.
Solution Approach 2:
The patent applies parameter changes by adjusting the level of three-dimensional detail generated based on the specific interactive features required. The system dynamically determines the appropriate amount of three-dimensional information needed for each operation (object removal, background replacement, viewpoint change) and generates only that level of detail, optimizing the balance between capability and processing efficiency.
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.