Text Animation Generation Using Reference Data and Temporal Motion
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Solution Overview
Problem
Existing methods for generating effect texts in image editing applications produce static texts with limited styles and poor visual effects, lacking diversity and personalization.
Innovation Solution
A method and apparatus for generating text animations by acquiring target text and reference data, converting it into a text image, and then into a text animation, using techniques such as texture overlay, mask application, and generative models to create dynamic and personalized effects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If static effect text templates are used, then the generation process is simple and fast, but the visual effect and style diversity are poor
Solution Approach 1:
The patent transforms static effect text templates into dynamic text animations by introducing temporal dimension and motion characteristics. The system generates animated text with various motion patterns (fade in, slide, bounce, etc.) and dynamic effect parameters that change over time, resolving the contradiction between simplicity and diversity by maintaining simple template structure while adding dynamic animation layers.
Solution Approach 2:
The patent applies parameter changes by modifying multiple dimensions of text effects including animation duration, motion amplitude, timing functions, and effect intensity. By adjusting these parameters dynamically, the system generates diverse text animations from standardized templates, achieving style diversity without complicating the core generation process.
2Ease of operation
If preset effect text templates are used, then the operation process is easy, but the visual expression capability is limited
Solution Approach 1:
The patent adds the time dimension to traditional static text templates by introducing animation sequences. Text effects are no longer confined to a single frame but unfold over multiple frames with temporal progression. This dimensional expansion enriches visual expression while maintaining the simplicity of template-based operation.
Solution Approach 2:
The patent introduces animation parameters and motion curves as intermediary elements between the user and the final text effect. Users select templates and basic parameters, while the system automatically generates complex animation sequences through intermediate processing layers, preserving ease of operation while achieving rich visual expression.
3Device complexity
If only static effect texts are generated, then the processing complexity is low, but the visual impact is poor
Solution Approach 1:
The patent implements periodic action through cyclic animation patterns where text effects repeat or progress through defined sequences. Animation loops, oscillating motions, and rhythmic effect variations create dynamic visual impact without requiring overly complex processing, as the periodic nature allows for efficient rendering and prediction.
Data Source
AI summary
The embodiments of the present disclosure provide a text animation generation method and apparatus, an electronic device, and a storage medium. The text animation generation method includes: in response to a first user operation, acquiring a target text and reference data corresponding to the target text, the reference data being used for indicating a font effect of an effect text generated based on the target text; generating a text image according to the target text and the reference data, the text image including the effect text corresponding to the target text; and generating a text animation corresponding to the effect text according to the text image.