Datasets › ShapeStacks

ShapeStacks

Introduced by Oliver Groth et al. in ShapeStacks: Learning Vision-Based Physical Intuition for Generalised Object Stacking archive 2025-07-28

A simulation-based dataset featuring 20,000 stack configurations composed of a variety of elementary geometric primitives richly annotated regarding semantics and structural stability.

Source: ShapeStacks: Learning Vision-Based Physical Intuition for Generalised Object Stacking

Benchmarks archive 2025-07-28

All 2 leaderboards 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.

Papers archive 2025-07-28

2 shown of 2 papers 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 22. 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
Unsupervised Multi-object Segmentation Using Attention and Soft-argmax 1 1 26 May 2022 not harvested
GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement 2 7 20 Apr 2021 not harvested

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

Unknown

Modalities archive 2025-07-28

No modality tagged.

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • ShapeStacks

1 variant name, as the archive lists them.

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