|
--- |
|
license: cc-by-nc-sa-4.0 |
|
tags: |
|
- music |
|
- AIGC |
|
- art |
|
language: |
|
- en |
|
size_categories: |
|
- 10K<n<100K |
|
--- |
|
# Dataset Card for LORIS |
|
|
|
## Dataset Description |
|
|
|
- **Homepage:** https://justinyuu.github.io/LORIS/ |
|
- **Repository:** https://github.com/OpenGVLab/LORIS |
|
- **Paper:** https://arxiv.org/pdf/2305.01319.pdf |
|
- **Point of Contact:** mailto:yujiashuo@pjlab.org.cn |
|
- **We are:** https://arxiv.org/abs/2212.03191 |
|
|
|
### Dataset Summary |
|
|
|
LORIS dataset is a large-scale rhythmic video soundtrack dataset that includes 86.43h long-term, high-quality raw videos with corresponding 2D poses, RGB features, and ameliorated audio waveforms. This dataset is originally used for the video background music generation task (a.k.a. video soundtracks). |
|
|
|
### Get Started |
|
|
|
from datasets import load_dataset |
|
dataset = load_dataset("awojustin/LORIS") |
|
|
|
|
|
### Citation Information |
|
|
|
@inproceedings{Yu2023Long, |
|
title={Long-Term Rhythmic Video Soundtracker}, |
|
author={Yu, Jiashuo and Wang, Yaohui and Chen, Xinyuan and Sun, Xiao and Qiao, Yu }, |
|
booktitle={International Conference on Machine Learning (ICML)}, |
|
year={2023} |
|
} |
|
|
