Effect Image Generation with Deformed Target Objects
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Solution Overview
Problem
Existing video editing applications provide limited and low-quality effect props, which restrict user customization and result in poor display effects for effect images.
Innovation Solution
A method and apparatus for generating effect images by allowing users to customize effect props with deformation and material effects, enabling the addition of material effects to deformed target objects in images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If pre-provided effect props are used in video shooting applications, then the basic effect processing function is achieved, but the customization capability and display quality are limited
Solution Approach 1:
The system enables users to independently create and edit effect props through intuitive operations. Users can deform target objects, adjust material effects, and customize parameters without requiring complex professional skills. The automated processing handles the technical complexity while users focus on creative expression.
Solution Approach 2:
The system provides extensive parameter adjustment options including deformation intensity, material type, color, transparency, and other properties. Users can continuously adjust these parameters to achieve desired effects, transforming static effect props into dynamic customizable elements.
2Manufacturing precision
If effect props are added to images, then the visual effect is enhanced, but the display quality and material effect rendering are poor
Solution Approach 1:
The system replaces traditional mechanical image processing methods with AI-based deep learning models. The material effect generation model automatically renders high-quality material effects based on input images and parameters, eliminating the need for complex manual processing and achieving superior display quality.
Solution Approach 2:
The system introduces an AI-based material effect generation model as an intermediary between the user's effect prop and the final image. This intermediary automatically processes the deformation and material effect application, handling the technical complexity while producing high-quality results.
3Ease of operation
If users perform customized editing of effect props, then the interactivity and user experience are improved, but the processing time and computational resources increase
Solution Approach 1:
The system pre-processes and pre-generates material effects based on the deformed target object before final composition. The AI model prepares the material effect rendering in advance, so that when the user applies the effect prop, the processing is accelerated and requires less real-time computational resources.
Solution Approach 2:
The system maintains continuous optimization of the material effect rendering process. The AI model continuously adjusts and refines the effect application based on user interactions, ensuring high quality while managing processing time through efficient iterative generation rather than sequential processing.
Data Source
AI summary
Embodiments of the present disclosure provide a method and an apparatus for generating an effect image, an electronic device, and a storage medium. The method includes: receiving an image to be processed that includes at least one target object; obtaining an image to be used in response to an edit operation from a user for the at least one target object, where the image to be used corresponds to the image to be processed and is an image with the at least one target object deformed; and adding a target material effect to the at least one target object in the image to be used, to generate an effect image corresponding to the image to be processed.