Improve model card: add metadata, paper links, and project information
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by nielsr HF Staff - opened
README.md
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license: cc-by-4.0
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license: cc-by-4.0
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pipeline_tag: image-to-video
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---
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# MACE-Dance: Motion-Appearance Cascaded Experts for Music-Driven Dance Video Generation
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[**Paper**](https://arxiv.org/abs/2512.18181) | [**Project Page**](https://macedance.github.io/) | [**GitHub**](https://github.com/AMAP-ML/MACE-Dance)
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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.
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The framework consists of two main components:
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- **Motion Expert**: Performs music-to-3D motion generation (SMPL) using a diffusion model with a BiMamba-Transformer architecture.
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- **Appearance Expert**: Synthesizes the final dance video conditioned on the motion and a reference image, ensuring visual identity and spatiotemporal coherence.
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## π¦ Pretrained Weights
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This repository stores the pretrained weights used in **MACE-Dance**, including both **expert models** and **evaluation models**.
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### ποΈ Directory Structure
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```bash
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weight/
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βββ Evaluation-Appearance/
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β βββ Evaluation-Appearance.7z
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βββ Evaluation-Motion/
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β βββ Evaluation-Motion.7z
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βββ Expert-Appearance/
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β βββ Expert-Apprearance.7z
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βββ Expert-Motion/
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βββ Expert-Motion.7z
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```
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### π Description
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- π **Expert-Appearance**: Pretrained weights for the **Appearance Expert** (motion-guided video synthesis).
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- πΊ **Expert-Motion**: Pretrained weights for the **Motion Expert** (music-to-3D dance motion).
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- π **Evaluation-Appearance**: Weights used for **appearance-related evaluation** (based on VBench).
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- π **Evaluation-Motion**: Weights used for **motion-related evaluation** (based on ViTPose).
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## π Notes
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- Each subfolder contains a compressed **`.7z`** package. Please extract the corresponding file before use.
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- 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).
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- Use **Expert-*** weights for model inference and **Evaluation-*** weights for metric computation pipelines.
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## π Citation
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If you find this project useful, please consider citing the paper:
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```bibtex
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@article{yang2026macedance,
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title={MACE-Dance: Motion-Appearance Cascaded Experts for Music-Driven Dance Video Generation},
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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},
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journal={ACM Transactions on Graphics (SIGGRAPH 2026)},
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year={2026}
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}
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```
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