ShapeNet-MPC: Dual-Modality Point Cloud Completion Dataset

ShapeNet-MPC is a dataset for point cloud completion proposed by the research paper 'DuInNet: Dual-Modality Feature Interaction for Point Cloud Completion'. The dataset was uploaded by author xinpuliu to Hugging Face and was last updated on March 1, 2025. It contains 3D object data organized by category, with files for both color images and point clouds.

Use Cases

• Training dual-modality neural networks for point cloud completion based on the described color and point cloud data.
• Benchmarking shape completion algorithms using the provided partial and complete point cloud files.
• Researching 3D object representation learning with multimodal inputs as suggested by the dataset's structure.

Strengths

• Dataset is associated with a specific, peer-reviewed research methodology ('DuInNet').
• Data is organized in a structured directory format with separate folders for color images and point clouds.
• Last updated on March 1, 2025, indicating recent maintenance.

Limitations

• Description metadata is limited; actual data quality, scale, and license require manual inspection after download.
• Column-level documentation and sample data are absent; field semantics must be inferred.
• Row count and total dataset size are unknown, which may limit suitability assessment.

Provenance

Source

xinpuliu on Hugging Face

Collection Method

Proposed by the research paper 'DuInNet: Dual-Modality Feature Interaction for Point Cloud Completion'.

Time Range

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Freshness

Last updated 2025-03-01 12:12:20; freshness should be verified.

Geography

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