Dialogue-Based Effect Generation With Real-Time Preview Feedback
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Solution Overview
Problem
Existing video and picture effect creation tools require significant user learning, making the process complex and inefficient for ordinary users.
Innovation Solution
A method and apparatus that utilize a session interface with a virtual object to generate effects through a dialogue-based interaction, allowing users to input messages describing desired effects, receive corresponding interactions, and preview the effects in real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional video and picture effect creation tools are used, then effect generation capability is achieved, but user learning cost and operational complexity increase significantly
Solution Approach 1:
The patent introduces a large language model as an intermediary between the user and the effect creation system. Users interact with the LLM through natural language dialogue, and the LLM translates these interactions into effect generation parameters and operations. This intermediary layer abstracts away the complex technical details of effect creation, allowing users to generate effects without learning specialized tools or workflows.
Solution Approach 2:
The patent replaces traditional mechanical interaction methods (manual parameter adjustment, tool-by-tool operation) with a dialogue-based system. Instead of requiring users to navigate complex menus and adjust technical parameters, the system uses natural language processing to interpret user intent and automatically generate effects. This substitution of mechanical interaction with linguistic interaction significantly reduces operational complexity.
2Ease of operation
If dialogue-based effect generation is implemented, then ease of operation improves, but effect generation precision and control may be reduced
Solution Approach 1:
The patent implements a feedback mechanism where the system presents generated effects to users for confirmation or modification. The LLM can clarify user intent through dialogue, ask follow-up questions to refine requirements, and adjust generated effects based on user feedback. This iterative feedback loop ensures that even though the initial interaction is simple, the final effect generation precision meets user expectations.
Solution Approach 2:
The system dynamically adapts its behavior based on the dialogue context and user responses. The LLM can switch between different levels of detail in effect generation, from simple one-step generation to more complex multi-step refinement, depending on the user's needs and the complexity of the requested effect. This dynamic approach maintains simplicity for basic tasks while enabling precision for complex requirements.
Data Source
AI summary
Embodiments of the disclosure relate to a method, an apparatus and a device for generating an effect and a computer-readable storage medium. The method proposed herein includes: presenting a session interface with a virtual object; obtaining a first message via the session interface, the first message configured to describe a to-be-generated effect; presenting a second message from the virtual object in the session interface, the second message including an interaction component corresponding to a target effect, and the target effect generated based on the first message; and presenting a preview window of the target effect in response to a first operation on the interaction component. In this way, the embodiments of the disclosure can generate and edit the effects by means of a dialogue, thereby improving efficiency of generating effects.