GIQ Benchmark Paper GIQ: Benchmarking 3D Geometric Reasoning of Vision Foundation Models with Simulated and Real Polyhedra Dataset Details GIQ is a benchmark for evaluating geometric reasoning in vision and vision language models using polyhedra. The repository currently contains: synthetic images/ : synthetic renderings of polyhedra wild images/ : real photographs organized by source collection 3d meshes/ : 3D mesh assets The benchmark is designed to support evaluation on tasks such as: zero shot polyhedron classification symmetry related reasoning mental rotation monocular 3D reconstruction Uses This dataset is intended for (but not limited to): benchmarking geometric reasoning in computer vision evaluating robustness of foundation models on controlled 3D shape data comparing synthetic and real image performance Dataset Creation Curation Rationale The dataset was created to provide a controlled benchmark for geometric reasoning using polyhedra, with both synthetic renderings and real photographs. Source Data Data Collection and Processing Synthetic images were rendered from 3D polyhedron meshes. Real images were collected as photographs of physical polyhedron models. Who are the…
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