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qsun2001/meshflow

MeshFlow Mesh Generation with Equivariant Flow Matching This repository hosts the pretrained model checkpoints and the processed mesh dataset for MeshFlow. 🌐 Project page: https://qiisun.github.io/MeshFlow/ 💻 Code (GitHub): https://github.com/qiisun/MeshFlow 📄 Paper: https://arxiv.org/abs/2606.12345 🤗 Demo: https://huggingface.co/spaces/qiisun/MeshFlow Repository Structure . ├── v1/ # Pretrained model checkpoints └── obj_data/ # Processed mesh… See the full description on the dataset page: https://huggingface.co/datasets/qsun2001/meshflow.

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MeshFlow

Mesh Generation with Equivariant Flow Matching

This repository hosts the pretrained model checkpoints and the processed mesh dataset for MeshFlow.

🌐 Project page: https://qiisun.github.io/MeshFlow/ 💻 Code (GitHub): https://github.com/qiisun/MeshFlow 📄 Paper: https://arxiv.org/abs/2606.12345 🤗 Demo: https://huggingface.co/spaces/qiisun/MeshFlow

Repository Structure

.
├── v1/         # Pretrained model checkpoints
└── obj_data/   # Processed mesh dataset (.obj)

`v1/` — Pretrained Checkpoints

Pretrained MeshFlow model weights. Download and use them together with the inference code in the GitHub repository.

`obj_data/` — Dataset

The processed mesh dataset used to train and evaluate MeshFlow, stored as .obj meshes.

Usage

You can download the files with huggingface_hub:

python

from huggingface_hub import snapshot_download

# Download everything
snapshot_download(repo_id="qsun2001/meshflow", repo_type="dataset")

# Download only the pretrained checkpoints
snapshot_download(
    repo_id="qsun2001/meshflow",
    repo_type="dataset",
    allow_patterns="v1/*",
)

# Download only the dataset
snapshot_download(
    repo_id="qsun2001/meshflow",
    repo_type="dataset",
    allow_patterns="obj_data/*",
)

Or with the CLI:

bash

huggingface-cli download qsun2001/meshflow --repo-type dataset --local-dir ./meshflow

For training and inference instructions, please refer to the GitHub repository.

Citation

If you find MeshFlow useful in your research, please consider citing:

bibtex

@inproceedings{sun2026meshflow,
  title     = {MeshFlow: Mesh Generation with Equivariant Flow Matching},
  author    = {Sun, Qi and Nakayama, Kiyohiro and Yan, Jing Nathan and
               Huang, Qixing and Rush, Alexander and Guibas, Leonidas and
               Wetzstein, Gordon and Liao, Jing and Yang, Guandao},
  booktitle = {SIGGRAPH},
  year      = {2026}
}