Summary of Llms Meet Multimodal Generation and Editing: a Survey, by Yingqing He et al.
LLMs Meet Multimodal Generation and Editing: A Survey
by Yingqing He, Zhaoyang Liu, Jingye Chen, Zeyue Tian, Hongyu Liu, Xiaowei Chi, Runtao Liu, Ruibin Yuan, Yazhou Xing, Wenhai Wang, Jifeng Dai, Yong Zhang, Wei Xue, Qifeng Liu, Yike Guo, Qifeng Chen
First submitted to arxiv on: 29 May 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Computation and Language (cs.CL); Computer Vision and Pattern Recognition (cs.CV); Multimedia (cs.MM); Sound (cs.SD)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper presents a comprehensive survey of multimodal large language models (MLLMs) focusing on generation and editing across various domains, including image, video, 3D, and audio. The authors summarize milestone works in these fields, categorizing them into LLM-based and CLIP/T5-based methods. They investigate the critical technical components behind these methods and multimodal datasets utilized in studies. Additionally, they explore tool-augmented multimodal agents leveraging generative models for human-computer interaction. The paper also discusses advancements in AI safety, emerging applications, and future prospects. This work provides a systematic overview of multimodal generation and processing, expected to advance Artificial Intelligence for Generative Content (AIGC) and world models. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The paper looks at how big language models can help us create new content that combines words with images, videos, 3D objects, or sounds. It’s like a superpower for computers! The authors talk about the most important discoveries in this area, including ways to generate and edit content across different types of media. They also explore how humans might interact with these AI systems in the future. The paper provides a clear overview of what’s been happening in this field and where it might be headed. |
Keywords
» Artificial intelligence » T5
