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license: cc-by-4.0
pipeline_tag: image-to-video
---
# MACE-Dance: Motion-Appearance Cascaded Experts for Music-Driven Dance Video Generation
[**Paper**](https://arxiv.org/abs/2512.18181) | [**Project Page**](https://macedance.github.io/) | [**GitHub**](https://github.com/AMAP-ML/MACE-Dance)
MACE-Dance is a cascaded expert framework for music-driven dance video generation. It explicitly decouples motion generation and appearance synthesis to produce kinematically plausible, artistically expressive, and visually coherent dance videos.
The framework consists of two main components:
- **Motion Expert**: Performs music-to-3D motion generation (SMPL) using a diffusion model with a BiMamba-Transformer architecture.
- **Appearance Expert**: Synthesizes the final dance video conditioned on the motion and a reference image, ensuring visual identity and spatiotemporal coherence.
## π¦ Pretrained Weights
This repository stores the pretrained weights used in **MACE-Dance**, including both **expert models** and **evaluation models**.
### ποΈ Directory Structure
```bash
weight/
βββ Evaluation-Appearance/
β βββ Evaluation-Appearance.7z
βββ Evaluation-Motion/
β βββ Evaluation-Motion.7z
βββ Expert-Appearance/
β βββ Expert-Apprearance.7z
βββ Expert-Motion/
βββ Expert-Motion.7z
```
### π Description
- π **Expert-Appearance**: Pretrained weights for the **Appearance Expert** (motion-guided video synthesis).
- πΊ **Expert-Motion**: Pretrained weights for the **Motion Expert** (music-to-3D dance motion).
- π **Evaluation-Appearance**: Weights used for **appearance-related evaluation** (based on VBench).
- π **Evaluation-Motion**: Weights used for **motion-related evaluation** (based on ViTPose).
## π Notes
- Each subfolder contains a compressed **`.7z`** package. Please extract the corresponding file before use.
- Make sure the extracted weights are placed in the expected paths for training, inference, or evaluation as specified in the [official code repository](https://github.com/AMAP-ML/MACE-Dance).
- Use **Expert-*** weights for model inference and **Evaluation-*** weights for metric computation pipelines.
## π Citation
If you find this project useful, please consider citing the paper:
```bibtex
@article{yang2026macedance,
title={MACE-Dance: Motion-Appearance Cascaded Experts for Music-Driven Dance Video Generation},
author={Yang, Kaixing and Zhu, Jiashu and Tang, Xulong and Peng, Ziqiao and Zhang, Xiangyue and Wang, Puwei and Jiahong Wu and Chu, Xiangxiang and Liu, Hongyan and He, Jun},
journal={ACM Transactions on Graphics (SIGGRAPH 2026)},
year={2026}
}
``` |