Dynamic Effect Rendering via Cloud Texture Matching
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Solution Overview
Problem
Existing image rendering technologies require manual selection of effect props, leading to inflexible and less rich display experiences, as the same effect is displayed for all users, and are limited by small packet sizes, making it difficult to incorporate rich resources.
Innovation Solution
A method and apparatus that utilize a user interactive interface to display prompt information, acquire characteristic information, determine matching texture resources, and render targeted effects on designated parts of objects, allowing for diverse and rich effect displays without manual selection, and leveraging cloud servers to overcome packet size limitations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual selection of effect props is used, then the display effect is consistent for all users, but the flexibility and adaptability to different user types deteriorates
Solution Approach 1:
The system automatically determines and applies effect props based on user characteristics without requiring manual selection. The effect prop determination module automatically selects appropriate effects based on user type, achieving self-service operation that improves adaptability while reducing operational burden on users.
Solution Approach 2:
The system changes the parameter of effect prop selection from manual user input to automatic system determination based on user characteristics. By transforming the selection mechanism from explicit user choices to implicit characteristic-based automation, the system achieves better adaptability without increasing operational complexity.
2Quantity of substance
If small packet sizes are used, then the transmission is efficient, but the ability to incorporate rich resources deteriorates
Solution Approach 1:
The system extracts only the essential effect prop information and characteristics needed for rendering, separating the core functional data from redundant information. This extraction allows efficient transmission of minimal necessary data while maintaining the ability to access rich texture resources through cloud-based resources, resolving the contradiction between packet size efficiency and resource richness.
Data Source
AI summary
The disclosure relates to the field of image processing technologies and discloses a method, an apparatus, a device and a readable storage medium for generating an effect. The method includes: displaying a user interactive interface, the user interactive interface comprising a display control, and the display control being configured to display prompt information for triggering an effect; acquiring, in response to an effect triggering operation generated for the prompt information, characteristic information corresponding to the effect triggering operation; determining a matched texture resource collection based on the characteristic information, and determining a corresponding target texture from the texture resource collection; and rendering a corresponding target effect on the user interactive interface based on the target texture, and mounting the target effect to a designated part region of a target object.


