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---
license: apache-2.0
datasets:
- Fudan-fMRI/fMRI-Shape
- Fudan-fMRI/fMRI-Objaverse
---
# MinD-3D++: Advancing fMRI-Based 3D Reconstruction with High-Quality Textured Mesh Generation and a Comprehensive Dataset (TPAMI 2025)
[](https://arxiv.org/abs/2409.11315)
[](https://jianxgao.github.io/MinD-3D/)
[](https://huggingface.co/datasets/Fudan-fMRI/fMRI-Shape)
[](https://huggingface.co/datasets/Fudan-fMRI/fMRI-Objaverse)
# Notes
- 🔥 We have released **all the weights of MinD-3D++**, trained on **fMRI-Shape** and **fMRI-Objaverse**.
- 🔥 We also provide a **jointly trained model on Subject 1**.
- 🔥 Subjects **1, 4, 6, 8** in *fMRI-Shape* and *fMRI-Objaverse* correspond to **Subjects 3, 4, 1, 2** in [CineBrain](https://huggingface.co/datasets/Fudan-fMRI/CineBrain).
# Citation
If you find our paper useful for your research and applications, please cite using this BibTeX:
```
@misc{gao2023mind3d,
title={MinD-3D: Reconstruct High-quality 3D objects in Human Brain},
author={Jianxiong Gao and Yuqian Fu and Yun Wang and Xuelin Qian and Jianfeng Feng and Yanwei Fu},
year={2023},
eprint={2312.07485},
archivePrefix={arXiv},
primaryClass={cs.CV}
}
```
```
@misc{gao2025mind3dadvancingfmribased3d,
title={MinD-3D++: Advancing fMRI-Based 3D Reconstruction with High-Quality Textured Mesh Generation and a Comprehensive Dataset},
author={Jianxiong Gao and Yanwei Fu and Yuqian Fu and Yun Wang and Xuelin Qian and Jianfeng Feng},
year={2025},
eprint={2409.11315},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/2409.11315},
}
```
```
@misc{gao2025cinebrain,
title={CineBrain: A Large-Scale Multi-Modal Brain Dataset During Naturalistic Audiovisual Narrative Processing},
author={Jianxiong Gao and Yichang Liu and Baofeng Yang and Jianfeng Feng and Yanwei Fu},
year={2025},
eprint={2503.06940},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/2503.06940},
}
``` |