Capability-aware Prompt Reformulation Learning for Text-to-Image Generation-Reference-Cited by-同舟云学术

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Capability-aware Prompt Reformulation Learning for Text-to-Image Generation

Published:2024-07-10 Issue: Volume:39 Page:2145-2155
ISSN:
Container-title:Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval
language:
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Author:

Zhan Jingtao¹^ORCID,Ai Qingyao²^ORCID,Liu Yiqun³^ORCID,Chen Jia⁴^ORCID,Ma Shaoping³^ORCID

Affiliation:

1. Department of Computer Science and Technology, Tsinghua University & Quan Cheng Laboratory, Beijing, China

2. Quan Cheng Laboratory & Department of Computer Science and Technology, Tsinghua University, Beijing, China

3. Department of Computer Science and Technology, Tsinghua University & Zhongguancun Laboratory, Beijing, China

4. Xiaohongshu Inc, Beijing, China

Funder

Quan Cheng Laboratory

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3626772.3657787

Reference53 articles.

1. [n.d.]. PromptHero - Search prompts for Stable Diffusion ChatGPT & Midjourney. https://prompthero.com/ Accessed: 2024-01--20.

2. [n.d.]. Stable Diffusion - Prompts examples. https://stablediffusion-fr. webpkgcache.com/doc/-/s/stablediffusion.fr/prompts Accessed: 2024-01-20.

3. Query Recommendation Using Query Logs in Search Engines

4. bluelovers. 2023. ChatGPT Stable Diffusion Prompts Generator. https://gist.github.com/bluelovers/92dac6fe7dcbafd7b5ae0557e638e6ef#filechatgpt-stable-diffusion-prompts-generator-txt. Accessed: 2023-7-20.

5. Paolo Boldi, Francesco Bonchi, Carlos Castillo, and Sebastiano Vigna. 2011. Query reformulation mining: models, patterns, and applications. Information retrieval 14 (2011), 257--289.

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