awesome-zero-shot-captioning
github.com/feielysia/awesome-zero-shot-captioning ↗A curated list of zero-shot captioning papers
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GitHub Stars
18
Curated Resources
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2 hours ago
Last Refreshed
Image-to-Text GenerationVideo-to-Text Generation
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Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me 2023 resources from awesome-zero-shot-captioning"
Installation instructions →What's inside
Image-to-Text Generation
- CoBIT: A Contrastive Bi-directional Image-Text Generation Model2023
- ConZIC: Controllable Zero-Shot Image Captioning by Sampling-Based Polishing2023
- DeCap: Decoding CLIP Latents for Zero-Shot Captioning via Text-Only Training2023
- Image Captioning with Unseen ObjectsBefore 2022
- Language Models Can See: Plugging Visual Controls in Text Generation2022
- Large-Scale Bidirectional Training for Zero-Shot Image Captioning2022
Showing a sample of 18 resources. View the full list on GitHub →