Summary of Edge-cloud Routing For Text-to-image Model with Token-level Multi-metric Prediction, by Zewei Xin et al.
Edge-Cloud Routing for Text-to-Image Model with Token-Level Multi-Metric Prediction
by Zewei Xin, Qinya Li, Chaoyue Niu, Fan Wu
First submitted to arxiv on: 21 Nov 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper proposes a routing framework called RouteT2I, designed to balance performance and cost in text-to-image models. Large models demonstrate impressive generation capabilities but require expensive cloud servers for deployment, while light-weight models can be deployed on edge devices at lower cost, but often with inferior quality for complex prompts. RouteT2I dynamically selects either the large or light-weight model based on user prompts, establishing multi-dimensional quality metrics to evaluate generated image quality. The framework predicts expected quality by identifying key tokens in the prompt and comparing their impact on quality. Evaluation reveals that RouteT2I significantly reduces requests for large cloud models while maintaining high-quality image generation. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Imagine a world where computers can create images from text descriptions, but it’s hard to decide which computer to use. Some computers are super powerful and can make amazing images, but they’re expensive and need lots of space. Other computers are smaller and cheaper, but they don’t do as good of a job. This paper introduces a new way to choose which computer to use based on the text description. It looks at how well the image matches what you asked for and decides whether to use the big or small computer. The result is that it can make really good images while also being more affordable. |
Keywords
» Artificial intelligence » Image generation » Prompt
