mlsanityData to 7 Oct 2026

From Simple to Professional: A Combinatorial Controllable Image Captioning Agent

arXiv 2412.11025 ↗First posted 15 Dec 2024cs.CV cs.AIcited by 0

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Abstract (arXiv)

The Controllable Image Captioning Agent (CapAgent) is an innovative system designed to bridge the gap between user simplicity and professional-level outputs in image captioning tasks. CapAgent automatically transforms user-provided simple instructions into detailed, professional instructions, enabling precise and context-aware caption generation. By leveraging multimodal large language models (MLLMs) and external tools such as object detection tool and search engines, the system ensures that captions adhere to specified guidelines, including sentiment, keywords, focus, and formatting. CapAgent transparently controls each step of the captioning process, and showcases its reasoning and tool usage at every step, fostering user trust and engagement. The project code is available at https://github.com/xin-ran-w/CapAgent.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 12 of its 16 references that are in the map. First posted on arXiv 15 Dec 2024.

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12 of 16 references.

References · 12

  1. 2020Retrieval-Augmented Generation for Knowledge-Intensive NLP Taskscited by 9,160
  2. 2022ReAct: Synergizing Reasoning and Acting in Language Modelscited by 8,355
  3. 2015Microsoft COCO Captions: Data Collection and Evaluation Servercited by 1,447
  4. 2024Visual Sketchpad: Sketching as a Visual Chain of Thought for Multimodal Language Modelscited by 260
  5. 2024Benchmarking Complex Instruction-Following with Multiple Constraints Compositioncited by 147
  6. 2024DOCCI: Descriptions of Connected and Contrasting Imagescited by 130
  7. 2024Benchmarking and Improving Detail Image Captioncited by 81
  8. 2019Good News, Everyone! Context driven entity-aware captioning for news imagescited by 66
  9. 2024MIA-Bench: Towards Better Instruction Following Evaluation of Multimodal LLMscited by 62
  10. 2024ImageInWords: Unlocking Hyper-Detailed Image Descriptionscited by 56
  11. 2020Transform and Tell: Entity-Aware News Image Captioningcited by 52
  12. 2015SentiCap: Generating Image Descriptions with Sentimentscited by 48

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