Model card for pcp-mae.scanobjectnn-objonly.xiangdong-zhang

A PCP-MAE point cloud classification model (masked point autoencoder predicting the masked centers). Trained on ScanObjectNN (OBJ_ONLY).

Model Details

• Model Type: Point cloud classification
• Model Stats:
  • Params (M): 22.3
  • Classes: 15
  • Features: 768
• Dataset: ScanObjectNN (OBJ_ONLY)
• Metrics: OA 94.32, mAcc 94.06
• Paper: PCP-MAE: Learning to Predict Centers for Point Masked Autoencoders
• Converted from: aHapBean/PCP-MAE (MIT)
• Library: torch-pointcloud

Install

pip install torch-pointcloud

Usage

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

model, info = tp.create_model(
    "pcp-mae.scanobjectnn-objonly.xiangdong-zhang",
    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),
}
data = collate([sample])

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

Feature extraction

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, 768)

Citation

@inproceedings{zhang2024pcpmae,
  title     = {{PCP-MAE}: Learning to Predict Centers for Point Masked Autoencoders},
  author    = {Zhang, Xiangdong and Zhang, Shaofeng and Yan, Junchi},
  booktitle = {NeurIPS},
  year      = {2024}
}

@inproceedings{uy2019scanobjectnn,
  title   = {Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data},
  author  = {Mikaela Angelina Uy and Quang-Hieu Pham and Binh-Son Hua and Duc Thanh Nguyen and Sai-Kit Yeung},
  booktitle = {ICCV},
  year    = {2019}
}

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