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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
A curated list of prompt-based paper in computer vision and vision-language learning.
| Date | Stars |
|---|---|
| 2026-07-31 | 928 |
| 2026-08-04 | 928 |
| 2026-08-06 | 928 |
Today
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# Awesome Prompting Papers in Computer Vision
A curated list of prompt-based papers in computer vision and vision-language learning.
- [Awesome Prompting Papers in Computer Vision](#awesome-prompting-papers-in-computer-vision)
- [Keywords](#keywords)
- [Vision Prompt](#vision-prompt)
- [Vision-Language Prompt](#vision-language-prompt)
- [Language-Interactable Prompt](#language-interactable-prompt)
- [Vision-Language Instruction Tuning](#vision-language-instruction-tuning)
- [More Resources](#more-resources)
### Keywords
* Task tag, e.g.,  
* Abbreviation tag, e.g., 
* Characteristic tag: Some characteristic makes this paper unique, e.g.,  
* **Bold font**: We highlight some pilot work that may contribute to the prevalence of visual prompting.
## Vision Prompt
This section collects papers prompting pretrained vision foundation models (e.g., ViT) for parameter-efficient adaptation.
- **Learning to Prompt for Continual Learning** [[paper]](https://arxiv.org/abs/2112.08654) [[code]](https://github.com/google-research/l2p)
`CVPR 2022` 
- **Visual Prompt Tuning** [[paper]](https://arxiv.org/pdf/2203.12119.pdf) [[code]](https://github.com/KMnP/vpt)
`ECCV 2022` 
- DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning [[paper]](https://arxiv.org/pdf/2204.04799.pdf) [[code]](https://github.com/google-research/l2p)
`ECCV 2022` 
- AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition [[paper]](https://arxiv.org/abs/2205.13535) [[code]](https://github.com/ShoufaChen/AdaptFormer)
`NeurIPS 2022` 
- Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning [[paper]](https://arxiv.org/abs/2210.08823) [[code]](https://github.com/dongzelian/SSF)
`NeurIPS 2022`
- P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting [[paper]](https://arxiv.org/abs/2208.02812) [[code]](https://github.com/wangzy22/P2P)
`NeurIPS 2022` 
- Generative Visual Prompt: Unifying Distributional Control of Pre-Trained Generative Models [[paper]](https://arxiv.org/abs/2209.06970) [[code]](https://github.com/ChenWu98/Generative-Visual-Prompt)
`NeurIPS 2022` 
- Visual Prompting via Image Inpainting [[paper]]() [[code]](https://github.com/amirbar/visual_prompting)
`NeurIPS 2022`  
- Decorate the Newcomers: Visual Domain Prompt for Continual Test Time Adaptation [[paper]](https://arxiv.org/abs/2212.04145)
`AAAI 2023`
- LPT: Long-tailed Prompt Tuning for Image Classification [[paper]](https://openreview.net/forum?id=8pOVAeo8ie)
`ICLR 2023`
- Diversity-Aware Meta Visual Prompting [[paper]](https://arxiv.org/abs/2303.08138) [[code]](https://github.com/shikiw/DAM-VP)
`CVPR 2023`
- Semantic Prompt for Few-Shot Image Recognition [[paper]](https://arxiv.org/abs/2303.14123)
`CVPR 2023` 
- Visual Prompt Tuning for Generative Transfer Learning [[paper]](https://arxiv.org/abs/2210.00990) [[code]](https://github.com/google-research/generative_transfer)
`CVPR 2023` 
Teng Wang · The University of Hong Kong · Hong Kong
34
Yuanhan Zhang · Nanyang Technological University · Singapore
15
3
2
Shuhuai Ren · Peking University · China
1
1
1
Bolin Ni · Institute of Automation, Chinese Academy of Sciences · China
1
1
Shoufa Chen · The University of Hong Kong · Hong Kong
1
Joseph K J · Adobe Research · India
1
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:6a71bd11f14ff107, name:computer vision, desc:computer vision