Datasets › HOD

HOD (Hand-held Object Dataset)

Introduced by Di Huang et al. in Reconstructing Hand-Held Objects from Monocular Video30 Nov 2022 archive 2025-07-28

HOD is a dataset for 3D object reconstruction which contains 35 objects, divided into two subsets named Sculptures and Daily Objects. The Sculptures has five human sculptures with complex geometries and pure white textures. The Daily Objects consists of 30 daily objects with various shapes and appearances. All of the Sculptures and nine of the Daily Objects are paired with high-fidelity scanned meshes as ground truth geometries for evaluation.

Source: Reconstructing Hand-Held Objects from Monocular Video

Image Source: https://arxiv.org/pdf/2211.16835v1.pdf

Benchmarks archive 2025-07-28

All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Face Swapping HOD Work 0-shot MRR Good Joyful: Joint Modality Fusion and Graph Contrastive... wykstc/MERC-main 1 Compare

Papers archive 2025-07-28

1 shown of 1 paper with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 5. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
Joyful: Joint Modality Fusion and Graph Contrastive Learning for Multimodal Emotion Recognition 1 1 18 Nov 2023 not harvested

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

Creative Commons Attribution-ShareAlike 4.0 International License

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • HOD

1 variant name, as the archive lists them.

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