| pretty_name: FlowerDance Preprocessed Data | |
| tags: | |
| - music-to-dance | |
| - dance-generation | |
| - 3d-human-motion | |
| - motion-generation | |
| # FlowerDance Preprocessed Data | |
| This repository contains the complete preprocessed data archive used by [FlowerDance](https://arxiv.org/abs/2511.21029), accepted to ECCV 2026. | |
| [Project Page](https://sun-happy-ykx.github.io/FlowerDance/) | [GitHub](https://github.com/XulongT/FlowerDance) | [Model Checkpoint](https://huggingface.co/xlt99/FlowerDance) | |
| ## Download | |
| ```bash | |
| hf download xlt99/FlowerDance-Preprocessed data.7z \ | |
| --repo-type dataset \ | |
| --local-dir . | |
| 7z x data.7z | |
| ``` | |
| Extract the archive in the FlowerDance project root. It contains the required `data/` directory. | |
| SHA-256: | |
| ```text | |
| c5bf6e16b7b89f50c9d764dae8870f8d81bf3224a0bdcc1ea553688d59da5c5a data.7z | |
| ``` | |
| ## Acknowledgements | |
| This code is standing on the shoulders of giants. We want to thank the following contributors that our code is based on: [EDGE](https://github.com/Stanford-TML/EDGE), [Adan-pytorch](https://github.com/lucidrains/Adan-pytorch), [denoising-diffusion-pytorch](https://github.com/lucidrains/denoising-diffusion-pytorch), [Mamba](https://github.com/state-spaces/mamba), [causal-conv1d](https://github.com/Dao-AILab/causal-conv1d), and [fairmotion](https://github.com/facebookresearch/fairmotion). The preprocessed data builds on [AIST++](https://github.com/google/aistplusplus_api) and [FineDance](https://github.com/li-ronghui/FineDance). | |