Display Apparatus AI Style Transfer Intermediate Feedback
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Solution Overview
Problem
Existing display apparatuses using AI-based style transfer technology take too long to generate style-transferred images, leading to user boredom and potential misconceptions about errors during the process, as they require tens of seconds to several minutes for image processing, whereas simulation-based methods provide real-time feedback but are limited in style extension and diversification.
Innovation Solution
A display apparatus and method that employs a neural network to perform AI-based style transfer while simultaneously displaying intermediate results generated through simulation-based style transfer, allowing for real-time output of gradually changing images, thereby reducing user boredom and enhancing the artistic quality of the final output.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If AI-based style transfer is used to generate high-quality artistic images, then image quality and artistic value are improved, but image generation time increases to tens of seconds or several minutes
Solution Approach 1:
The system performs simulation-based style transfer in advance to generate intermediate images that can be displayed immediately. This preliminary action provides real-time feedback to users while the more computationally intensive AI-based style transfer continues in the background, effectively bridging the time gap between fast but limited simulation results and slow but high-quality AI results.
Solution Approach 2:
The system introduces simulation-based style transfer as an intermediary process between user input and final AI-based style transfer output. This intermediary generates intermediate images that serve as placeholders during the longer AI processing time, maintaining user engagement without compromising the quality of the final result.
2Speed
If simulation-based style transfer is used for real-time image generation, then processing speed is improved, but style extension and diversification are limited
Solution Approach 1:
The system merges simulation-based style transfer and AI-based style transfer into a unified workflow. The simulation-based approach provides rapid initial results for real-time feedback, while the AI-based approach enhances style diversity and quality. Both methods work together complementarily rather than competitively, combining their strengths to overcome individual limitations.
Solution Approach 2:
The system applies simulation-based style transfer partially to generate intermediate results quickly, then applies AI-based style transfer to refine and enhance the final output. This partial application of the faster method allows real-time interaction, while the subsequent full application of the more capable AI method ensures style diversity and quality.
3Manufacturing precision
If only AI-based style transfer is implemented, then artistic quality is improved, but user engagement decreases due to long waiting time
Solution Approach 1:
The system implements a feedback mechanism by displaying intermediate images generated through simulation-based style transfer during the AI processing period. This provides users with visual feedback and maintains engagement, rather than leaving users in uncertainty during the lengthy AI computation process. The feedback loop keeps users informed and engaged throughout the entire workflow.
4Manufacturing precision
If long processing time is required for AI-based style transfer, then image quality is improved, but user misconceptions about errors increase
Solution Approach 1:
The system performs simulation-based style transfer as a preliminary step that produces visible intermediate results. This preliminary action demonstrates that processing is actively occurring and producing results, preventing users from misinterpreting the long AI processing time as an error or system failure. The intermediate results serve as visual confirmation of successful operation.
Data Source
AI summary
A display apparatus includes a display, a memory configured to store at least one instruction, and a controller including at least one processor configured to execute the at least one instruction to control the display apparatus. According to the display apparatus, as a user may watch an image having a unique style, for example, an AI-based style transferred third image, without feeling bored, while the image is style transferred and generated, user needs may be met and user convenience may be increased.