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## Dataset Description
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The **MPI3D-realistic dataset** is a **photorealistic synthetic image dataset** designed for benchmarking algorithms in **disentangled representation learning** and **unsupervised representation learning**. It is part of the broader MPI3D dataset suite, which also includes [synthetic toy](https://huggingface.co/datasets/randall-lab/mpi3d-toy) and [real-world](https://huggingface.co/datasets/randall-lab/mpi3d-
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The **realistic version** was rendered using a **physically-based photorealistic renderer** applied to **CAD models** of physical 3D objects. The rendering simulates realistic lighting, materials, and camera effects to closely match the real-world recordings of the MPI3D-real dataset. This enables researchers to systematically study **sim-to-real transfer** and assess how well models trained on high-fidelity synthetic images generalize to real-world data.
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## Dataset Description
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The **MPI3D-realistic dataset** is a **photorealistic synthetic image dataset** designed for benchmarking algorithms in **disentangled representation learning** and **unsupervised representation learning**. It is part of the broader MPI3D dataset suite, which also includes [synthetic toy](https://huggingface.co/datasets/randall-lab/mpi3d-toy), [real-world](https://huggingface.co/datasets/randall-lab/mpi3d-real) and [complex real-world](https://huggingface.co/datasets/randall-lab/mpi3d-complex) variants.
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The **realistic version** was rendered using a **physically-based photorealistic renderer** applied to **CAD models** of physical 3D objects. The rendering simulates realistic lighting, materials, and camera effects to closely match the real-world recordings of the MPI3D-real dataset. This enables researchers to systematically study **sim-to-real transfer** and assess how well models trained on high-fidelity synthetic images generalize to real-world data.
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