Summary of Prompt-consistency Image Generation (pcig): a Unified Framework Integrating Llms, Knowledge Graphs, and Controllable Diffusion Models, by Yichen Sun et al.
Prompt-Consistency Image Generation (PCIG): A Unified Framework Integrating LLMs, Knowledge Graphs, and Controllable Diffusion Models
by Yichen Sun, Zhixuan Chu, Zhan Qin, Kui Ren
First submitted to arxiv on: 24 Jun 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI)
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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 The proposed diffusion-based framework enhances the alignment of generated images with their corresponding descriptions, addressing inconsistencies between visual output and textual input. By leveraging a state-of-the-art large language module to extract objects and predict locations in potentially generated images, and integrating this with a controllable image generation model, the approach generates accurate and consistent images without inconsistency with the original prompt. Extensive experiments on an advanced multimodal hallucination benchmark demonstrate the efficacy of the proposed method. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary A new way to make pictures from words is developed by researchers. Sometimes, these picture-making machines create pictures that don’t match what you asked for. To fix this problem, a team created a special computer program that helps the machine make better pictures that match what you want. They used a big language understanding tool and a picture-generating model to predict where objects in the picture should be. Then they combined these with a new way of generating images to create accurate and consistent pictures. This approach was tested on many different picture-making tasks and showed great results. |
Keywords
» Artificial intelligence » Alignment » Diffusion » Hallucination » Image generation » Language understanding » Prompt
