3D Animation Rendering with AI Upscaling and Frame Supplement
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing 3D animation rendering methods require significant time and resources for repeated modifications, leading to inefficiencies and high costs due to the need for re-rendering.
Innovation Solution
A method and system that reduces the resolution and frame rate of 3D animations and utilizes AI super-resolution and frame supplement functions to accelerate rendering, leveraging deep learning and artificial intelligence algorithms to enhance image quality and frame generation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If conventional 3D animation rendering is used with full resolution and frame rate, then animation quality is maintained, but rendering time and production cost increase significantly
Solution Approach 1:
The rendering process is segmented into two stages: first rendering at low resolution/low frame rate to obtain preliminary frames, then using AI super-resolution to generate high-resolution frames from the low-resolution ones. This segmentation allows the computationally intensive high-resolution rendering to be performed only on the reduced set of frames, significantly reducing total rendering time while maintaining quality.
Solution Approach 2:
The patent uses AI super-resolution technology to create a copy of the low-resolution animation frames that replicates the appearance of high-resolution frames. The AI model learns the mapping between low-resolution and high-resolution representations, generating realistic high-resolution copies without requiring actual high-resolution rendering for each frame.
2Productivity
If AI super-resolution and frame supplement functions are used, then rendering time is reduced by 70-90%, but device complexity and technology learning requirements increase
Solution Approach 1:
The patent integrates AI super-resolution and frame supplement functions directly into the rendering system, creating a multi-functional renderer that can both render animation frames and perform AI-based enhancement. This universal approach consolidates multiple functions (rendering, upscaling, frame interpolation) into a single system, reducing the need for separate external tools and processes.
Solution Approach 2:
The rendering system performs self-service by automatically using AI functions to enhance the output without requiring manual intervention. The system automatically manages the low-resolution rendering, AI processing, and frame supplementation processes, reducing the operational complexity for users despite the advanced technology involved.
3Adaptability or versatility
If repeated modifications are made during 3D animation production, then animation flexibility and adaptability improve, but rendering time and production cost increase due to re-rendering requirements
Solution Approach 1:
The patent performs preliminary rendering at low resolution first, then applies AI super-resolution to generate high-resolution frames. This preliminary action allows for quick iterations and modifications at low cost, as the low-resolution rendering can be rapidly regenerated and then enhanced by the AI model, enabling flexible modifications without the time penalty of complete re-rendering at high resolution.
Data Source
AI summary
The invention provides a three-dimensional animation rendering acceleration method and system, and relates to the technical field of animation rendering. The method obtains low resolution or/and low frame rate 3D animation by reducing the resolution or/and frame rate of the 3D animation to be rendered, and starts the corresponding AI function in the renderer with built-in AI super-resolution and frame supplement functions, starts rendering of low-resolution or/and low frame rate 3D animation and performs AI-accelerated rendering to obtain a sequence of 3D animation pictures after accelerated rendering, and then completes other post-production. The rendering time of conventional 3D animation can be reduced to the greatest extent, and it solves the problem that a lot of energy, cost and time are wasted due to repeated rendering caused by modification in the existing conventional 3D animation production process.