Renderable 3D Scene Graphs With AI-Mediated Multimodal Editing
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Solution Overview
Problem
The generation and modification of renderable 3D scene graphs are not sufficiently streamlined, personalized, or flexible, particularly in creating virtual and extended-reality environments.
Innovation Solution
A system that utilizes user inputs, AI-based models, and scene graph tools to parse and modify 3D components, allowing for the generation and modification of 3D scene graphs through textual, voice, gesture, and multimedia inputs, incorporating parametric and non-parametric representations, and enabling user control over component positioning and modification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional scene graph generation methods are used, then the process is straightforward, but the generation is not streamlined, personalized, or flexible enough
Solution Approach 1:
The patent introduces an intermediary system comprising AI-based models (language understanding models, generative AI-based models) that mediate between user inputs and scene graph generation. This intermediary layer translates diverse input formats (textual, voice, gesture, gaze) into actionable commands for modifying 3D components, enabling flexible and personalized scene graph generation without directly increasing the complexity of the core rendering system.
Solution Approach 2:
The system implements multi-functionality by accepting multiple types of inputs (textual, voice, gesture, gaze) through a unified interface and processing them through various AI models to achieve the same outcome of modifying scene graphs. This universal approach enhances adaptability while managing complexity through standardized processing pipelines.
2Reliability
If AI-based models are integrated with scene graph tools, then robust and performant virtual-reality environment creation is enabled, but system complexity increases
Solution Approach 1:
The patent segments the system into distinct functional modules: input capture modules (textual, voice, gesture, gaze), AI-based processing modules (language understanding models, generative AI-based models), scene graph management modules, and rendering modules. This segmentation allows each component to be developed, tested, and optimized independently, enhancing reliability while managing overall system complexity through modular architecture.
Solution Approach 2:
The system incorporates feedback mechanisms where AI-based models process user inputs, generate modifications to the scene graph, and the rendered output is displayed for user review. This feedback loop enables iterative refinement and ensures robustness by allowing users to verify and adjust the generated virtual-reality environments before final deployment.
3Ease of operation
If multiple input types are supported for adding and modifying 3D components, then user control and personalization are enhanced, but the interface complexity increases
Solution Approach 1:
The patent employs AI-based models as intermediaries that translate diverse input modalities (textual descriptions, voice commands, gestures, gaze directions) into unified actions for adding and modifying 3D components. This intermediary translation layer simplifies the user interface by accepting natural human interactions while maintaining precise control over the scene graph, avoiding the need for complex direct manipulation interfaces.
Solution Approach 2:
The system uses AI-based models to interpret and replicate user intentions from various input types. For example, a textual description or voice command is processed to generate the same functional effect as direct 3D manipulation, providing equivalent user control through simpler, more intuitive interfaces.
Data Source
AI summary
Devices, methods, and non-transitory computer-readable media are disclosed for the generation/modification of renderable three-dimensional (3D) scene graphs, e.g., from captured input data. According to some embodiments, multi-layer renderable scene graphs are disclosed. A computer graphics generating system may determine and/or infer the particular components that are needed to generate a requested 3D virtual environment on a device. In some embodiments, the system may also decompose previously-captured media assets into components for a renderable 3D scene graph. In some embodiments, the rendering 3D scene graph may have multiple levels and may comprise a combination of components having parametric and/or non-parametric representations. In some embodiments, components of the 3D scene graph may be moved, replaced, or otherwise modified by user input (e.g., via textual input, voice input, multimedia file input, gestural input, gaze input, programmatic input, or even another scene graph file) and the system's semantic understanding of the 3D scene graph.