Summary of From Simple to Professional: a Combinatorial Controllable Image Captioning Agent, by Xinran Wang et al.
From Simple to Professional: A Combinatorial Controllable Image Captioning Agent
by Xinran Wang, Muxi Diao, Baoteng Li, Haiwen Zhang, Kongming Liang, Zhanyu Ma
First submitted to arxiv on: 15 Dec 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 This innovative system, CapAgent, bridges the gap between user simplicity and professional-level outputs in image captioning tasks. By leveraging multimodal large language models (MLLMs) and external tools like object detection tool and search engines, CapAgent automatically transforms simple instructions into detailed captions that adhere to specified guidelines, including sentiment, keywords, focus, and formatting. The system showcases its reasoning and tool usage at every step, fostering user trust and engagement. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary CapAgent is a special computer program designed to help people write descriptions of pictures in a professional way. It takes simple instructions from users and uses big language models and other tools to create detailed captions that follow specific rules. The program shows what it’s doing and why, so users can understand how their captions are being made. |
Keywords
» Artificial intelligence » Image captioning » Object detection
