Curated list of LLM-based CV and multimodal research papers
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This repository serves as a curated collection of recent research papers and projects at the intersection of Large Language Models (LLMs) and Computer Vision (CV). It aims to provide a comprehensive overview of advancements in multimodal AI, particularly for researchers and practitioners in the field.
How It Works
The project functions as a dynamic, continuously updated bibliography. It aggregates and categorizes papers based on their publication date and topic, focusing on how LLMs are being integrated with or applied to visual tasks. The collection highlights novel approaches in areas like visual reasoning, image/video generation, robotic control, and multimodal understanding.
Highlighted Details
Maintenance & Community
The repository is actively maintained by DirtyHarryLYL, with an open invitation for contributions and comments from the community.
Licensing & Compatibility
The repository itself is a collection of links and information; licensing details would pertain to the individual projects linked within.
Limitations & Caveats
This is a curated list of research papers and does not provide a unified codebase or framework for direct use. Users must refer to individual linked projects for their specific requirements, dependencies, and licensing.
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