Natural Language Animation System for Near Real-Time Scene Generation

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Solution Overview

Problem

Conventional 3D animation is resource-intensive and complex, requiring weeks or months of processing cycles and specialized knowledge, making it inaccessible to amateur users and inefficient in terms of cost and processing cycles.

Innovation Solution

A system and method for dynamically generating 2D and 3D graphical content using natural language, gesture, or sensory inputs, which includes an input device, render processing unit, and controller to receive and process inputs, determine scene layouts, and render scenes in near real-time, enabling intuitive and cost-effective creation of graphical content for display on conventional or augmented/virtual reality platforms.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If conventional 3D animation methods are used, then high-quality graphical content can be produced, but the processing time and computational resources required are excessive (weeks to months)

Engineering Contradiction:
Improvecontent creation speedVSAvoidrendering time
Core Design Contradiction:
ProductivityVSLoss of time

Solution Approach 1:

The system segments the complex 3D animation process into distinct components: natural language interpretation module, scene graph generation module, and rendering module. This allows parallel processing and optimization of each segment, dramatically reducing overall processing time while maintaining quality output

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system performs preliminary actions by pre-compiling scene templates, object libraries, and animation sequences that can be rapidly assembled and modified based on natural language input, eliminating the need for time-consuming manual 3D modeling and scene setup

Inventive Principle:
Principle #10Preliminary action

2Ease of operation

If conventional 3D animation software is used, then professional-grade content can be created, but the system complexity and learning curve are too high for amateur users

Engineering Contradiction:
Improveuser accessibilityVSAvoidsoftware complexity
Core Design Contradiction:
Ease of operationVSDevice complexity

Solution Approach 1:

The system introduces natural language as an intermediary between the user and the complex 3D animation system. Users communicate their intent through simple text or speech, and the system's natural language processing module translates this into complex scene graphs and rendering parameters, shielding users from technical complexity while enabling professional-grade output

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The system replaces the traditional mechanical interaction model (manual manipulation of 3D models, cameras, and lighting) with a linguistic-based control system. Natural language commands directly translate into scene configurations, eliminating the need for users to learn complex software interfaces and 3D modeling techniques

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

3Manufacturing precision

If conventional 3D animation pipelines are used, then detailed and realistic scenes can be rendered, but the computational cost and processing power required are prohibitively high

Engineering Contradiction:
Improvescene detail qualityVSAvoidprocessing cycle consumption
Core Design Contradiction:
Manufacturing precisionVSUse of energy by moving object

Solution Approach 1:

The system dynamically adjusts rendering quality and detail levels based on the importance of scene elements and available computational resources. Critical focal points are rendered with high detail while peripheral areas use optimized lower-detail representations, maintaining overall scene quality while reducing total processing requirements

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system changes rendering parameters dynamically during scene generation and revision, adjusting resolution, texture quality, and simulation fidelity based on the specific requirements of each scene element and the user's interaction patterns, optimizing the balance between quality and computational cost

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS10922049B2Natural language based computer animation
Publication Date: 2021.02.16 ROUNDFIRE INC
  • US10922049B2 patent drawing
  • US10922049B2 patent drawing
  • US10922049B2 patent drawing

AI summary

The present disclosure relates to systems, methods, and non-transitory computer-readable media that facilitate near real-time dynamic generation of graphical content based on audio, text, or gesture input. An example method includes receiving an input from an input device such as a microphone, a keyboard, or a camera. As such, the input may include text, speech, and/or a gesture. The method includes determining, based on the input, one or more command instructions. The method also includes determining, based on the one or more command instructions, a scene layout. Each of the one or more command instructions correspond to at least one element of the scene layout. The method also includes providing a rendered scene based on the determined scene layout.