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torch-pointcloud/dgcnn.modelnet40-1024.an-tao

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Model card for dgcnn.modelnet40-1024.an-tao

A DGCNN point cloud classification model (dynamic graph convolution over EdgeConv features). Trained on ModelNet40.

Model Details

—Model Type: Point cloud classification
—Model Stats:
—Params (M): 1.8
—Classes: 40
—Features: 2048
—Dataset: ModelNet40
—Metrics: OA 93.27, mAcc 90.89 (reference 93.3)
—Paper: Dynamic Graph CNN for Learning on Point Clouds
—Converted from: antao97/dgcnn.pytorch (MIT)
—Library: torch-pointcloud

Install

bash

pip install torch-pointcloud

This checkpoint also needs pyg-lib, which needs a build matching your torch and CUDA: see the installation guide.

Usage

python

import torch
import torch_pointcloud as tp
from torch_pointcloud.utils.data import collate

model, info = tp.create_model(
    "dgcnn.modelnet40-1024.an-tao",
    task="classification",
    pretrained=True,
    return_info=True,
)
model = model.eval()

# synthetic sample with the keys a dataset provides
num_points = 8192
sample = {
    "pos": torch.randn(num_points, 3),
    "normal": torch.randn(num_points, 3),
}
data = info["transform"](sample)
data = collate([data])

with torch.no_grad():
    logits = model(data.get("x"), data["pos"], data["batch"])

Feature extraction

python

with torch.no_grad():
    embeddings = model.forward_features(data.get("x"), data["pos"], data["batch"])

model.reset_classifier(num_classes=0)
with torch.no_grad():
    embeddings = model(data.get("x"), data["pos"], data["batch"])  # (B, 2048)

Citation

bibtex

@article{wang2019dgcnn,
  title   = {Dynamic Graph CNN for Learning on Point Clouds},
  author  = {Yue Wang and Yongbin Sun and Ziwei Liu and Sanjay E. Sarma and Michael M. Bronstein and Justin M. Solomon},
  journal = {ACM Transactions on Graphics},
  volume  = {38},
  number  = {5},
  year    = {2019}
}

@inproceedings{wu2015modelnet,
  title   = {3D ShapeNets: A Deep Representation for Volumetric Shapes},
  author  = {Zhirong Wu and Shuran Song and Aditya Khosla and Fisher Yu and Linguang Zhang and Xiaoou Tang and Jianxiong Xiao},
  booktitle = {CVPR},
  year    = {2015}
}

@software{dujardin2026pytorchpointcloud,
  author  = {Arthur Dujardin},
  title   = {PyTorch PointCloud},
  year    = {2026},
  doi     = {10.5281/zenodo.22159632},
  url     = {https://github.com/arthurdjn/pytorch-pointcloud},
}