Summary of Video Is Worth a Thousand Images: Exploring the Latest Trends in Long Video Generation, by Faraz Waseem and Muhammad Shahzad
Video Is Worth a Thousand Images: Exploring the Latest Trends in Long Video Generation
by Faraz Waseem, Muhammad Shahzad
First submitted to arxiv on: 24 Dec 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI)
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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 A multimodal large language model (MLLM) is a powerful tool for generating videos, but creating extended videos that are hundreds or thousands of frames long remains an open problem. Current state-of-the-art systems like OpenAI’s Sora can only produce videos up to one minute in length due to the complexity of video generation, which requires more than just generative AI techniques. In addition to planning, story development, and maintaining spatial and temporal consistency, there are also challenges related to scalability and control. This paper provides a comprehensive overview of the current landscape of long video generation, covering foundational techniques like GANs and diffusion models, video generation strategies, large-scale training datasets, quality metrics for evaluating long videos, and future research areas to address the limitations of existing video generation capabilities. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Imagine trying to tell a story with thousands of individual images. That’s what it’s like to try to generate a long video using artificial intelligence (AI). Currently, the best AI systems can only make short videos up to one minute long. To create longer videos, we need to improve how AI generates new images and makes decisions about what goes in each frame. This paper looks at the current state of the art in making long videos using AI and identifies areas where research is needed to overcome the challenges. |
Keywords
» Artificial intelligence » Large language model
