Summary of Vidmuse: a Simple Video-to-music Generation Framework with Long-short-term Modeling, by Zeyue Tian et al.
VidMuse: A Simple Video-to-Music Generation Framework with Long-Short-Term Modeling
by Zeyue Tian, Zhaoyang Liu, Ruibin Yuan, Jiahao Pan, Qifeng Liu, Xu Tan, Qifeng Chen, Wei Xue, Yike Guo
First submitted to arxiv on: 6 Jun 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Machine Learning (cs.LG); 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 This paper presents VidMuse, a framework for generating music conditioned solely on video inputs. The authors create a large-scale dataset of 360K video-music pairs, featuring various genres like movie trailers and advertisements. They demonstrate the effectiveness of VidMuse by producing high-fidelity music that is both acoustically and semantically aligned with the video content. This is achieved through Long-Short-Term modeling, which incorporates local and global visual cues. The proposed framework outperforms existing models in terms of audio quality, diversity, and audio-visual alignment, as evaluated through extensive experiments. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Imagine a machine that can create music based on what it sees in videos! This paper shows how to make this happen. They made a huge collection of video-music pairs (360K!) featuring different types of movies and ads. Then, they created a way to generate music that matches the mood and style of each video. The result is really good quality music that sounds like it was meant to go with the video. This is special because most music generation systems only work with text or audio inputs, not videos. The scientists tested their system and found it works better than others in making the music match the video. |
Keywords
* Artificial intelligence * Alignment
