3D Environment Synthesis from 2D Images
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Solution Overview
Problem
Viewing two-dimensional (2D) images does not provide an immersive experience as it fails to capture the full essence of the physical environment, including sounds and unseen elements.
Innovation Solution
A device and method that synthesize a three-dimensional (3D) computer-generated environment based on a 2D image and stored information, enhancing the user experience by incorporating sounds, animations, and additional environmental elements not captured in the 2D image.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a 2D image is used to represent the physical environment, then the device complexity is low, but the immersion and completeness of the experience deteriorates
Solution Approach 1:
The patent transforms a two-dimensional image into a three-dimensional environment by adding depth, spatial relationships, and additional dimensions. The system generates a 3D representation that includes elements not visible in the original 2D image, such as background objects, spatial audio, and environmental details, thereby recovering lost information while maintaining system simplicity.
2Loss of information
If a 3D environment is synthesized with additional elements and sounds, then the immersion and completeness of the experience improves, but the device complexity increases
Solution Approach 1:
The system automatically generates a 3D environment from a 2D image without requiring manual user input. The AI model autonomously identifies objects, infers spatial relationships, generates appropriate sounds, and constructs the immersive environment, making the complex process transparent to the user while delivering high-quality results.
Solution Approach 2:
The patent creates a virtual copy of the physical environment represented in the 2D image. Instead of requiring users to physically visit or manually reconstruct the scene, the system generates a digital twin that replicates the environment's visual and auditory characteristics, providing an immersive experience without the complexity of physical reconstruction.
3Ease of operation
If the system automatically synthesizes 3D environment without user input, then the ease of operation improves, but the processing resources consumed increases
Solution Approach 1:
The system performs preliminary processing by pre-identifying key objects and elements in the 2D image before generating the full 3D environment. The AI model analyzes the image structure, segments important components, and prepares spatial data in advance, which optimizes subsequent rendering and reduces real-time processing requirements.
Data Source
AI summary
Various implementations disclosed herein include devices, systems, and methods for synthesizing an environment based on an image. In various implementations, a device includes a non-transitory memory and one or more processors coupled with the non-transitory memory. In various implementations, a method includes determining an engagement score that characterizes a level of engagement between a user and a representation of a subject included in an image. In some implementations, the method includes, in response to the engagement score satisfying an engagement threshold, obtaining stored information regarding the subject, and synthesizing an environment based on the image and the stored information regarding the subject.