Interactive Scene Imaging With Neural Partial 3D Reconstruction
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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, necessitating more efficient methods.
Innovation Solution
A content generation platform that merges actually captured content with computer-generated content using neural networks, allowing for the creation of interactive images with partial three-dimensional capabilities through a streamlined imaging process, including a controlled imaging studio and machine learning-based algorithms to generate interactive features.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional three-dimensional modeling techniques are used to enable interactive image features, then interactive functionality is achieved, but resource consumption and complexity increase significantly
Solution Approach 1:
The patent segments the interactive image generation process into distinct components: capturing multiple two-dimensional images from different angles, processing these images through neural networks to generate partial three-dimensional representations, and then combining these representations to create the final interactive image. This segmentation allows interactive functionality to be achieved without requiring a complete traditional three-dimensional model, thereby reducing complexity while maintaining adaptability.
2Adaptability or versatility
If complete three-dimensional models are generated for interactive features, then full interactivity is achieved, but processing time and computational resources increase
Solution Approach 1:
The patent applies partial action by generating only the necessary partial three-dimensional representations needed for interactive features rather than complete three-dimensional models. The neural networks process captured images to create sufficient geometric and photometric information for interactivity without performing the exhaustive computations required for full three-dimensional modeling, thus reducing processing time while maintaining essential interactive capabilities.
3Manufacturing precision
If photorealistic rendering with full three-dimensional capabilities is implemented, then visual quality is improved, but computational cost and resource requirements increase
Solution Approach 1:
The patent uses copying by capturing multiple two-dimensional images of the object from different angles and using neural networks to synthesize photorealistic representations. Instead of performing computationally intensive physically based rendering from scratch, the system copies and processes actual captured images, leveraging the existing photometric information in the source images to achieve high visual quality with reduced computational energy requirements.
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.