JindongGu/Awesome-Prompting-on-Vision-Language-Model
A survey paper and organized paper list covering prompt engineering techniques across three types of vision-language foundation models.
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This repository provides a comprehensive survey of prompt engineering research on vision-language models. It catalogs papers across three VLM categories: multimodal-to-text generation models (e.g., Flamingo), image-text matching models (e.g., CLIP), and text-to-image generation models (e.g., Stable Diffusion). The content is organized by topic and serves as a reference resource for researchers studying VLMs and prompting techniques.
Frequently asked
- What is JindongGu/Awesome-Prompting-on-Vision-Language-Model?
- A survey paper and organized paper list covering prompt engineering techniques across three types of vision-language foundation models.
- Is Awesome-Prompting-on-Vision-Language-Model open source?
- Yes — JindongGu/Awesome-Prompting-on-Vision-Language-Model is an open-source project tracked on heatdrop.
- How popular is Awesome-Prompting-on-Vision-Language-Model?
- JindongGu/Awesome-Prompting-on-Vision-Language-Model has 513 stars on GitHub.
- Where can I find Awesome-Prompting-on-Vision-Language-Model?
- JindongGu/Awesome-Prompting-on-Vision-Language-Model is on GitHub at https://github.com/JindongGu/Awesome-Prompting-on-Vision-Language-Model.