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We introduce a new dataset of in-the-wild sequences with paired posed multi-view images, SLAM
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point clouds, and individually complete 3D shape annotations for 178 objects across 7 diverse scenes. In contrast to existing real-world 3D reconstruction datasets which are either captured in controlled setups or have merged object and background geometries or incomplete shapes, this dataset is designed to capture real-world challenges like occlusions, clutter, and variable resolution and viewpoints to enable realistic, in-the-wild evaluation.
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[Project Page](http://facebookresearch.github.io/ShapeR) | [Paper](resources/ShapeR.pdf) | [Video](https://www.youtube.com/watch?v=EbY30KAA55I) | [HF-Model](https://huggingface.co/facebook/ShapeR/) | [HF Evaluation Dataset](https://huggingface.co/datasets/facebook/ShapeR-Evaluation)
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## Usage
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We introduce a new dataset of in-the-wild sequences with paired posed multi-view images, SLAM
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point clouds, and individually complete 3D shape annotations for 178 objects across 7 diverse scenes. In contrast to existing real-world 3D reconstruction datasets which are either captured in controlled setups or have merged object and background geometries or incomplete shapes, this dataset is designed to capture real-world challenges like occlusions, clutter, and variable resolution and viewpoints to enable realistic, in-the-wild evaluation.
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[Project Page](http://facebookresearch.github.io/ShapeR) | [Paper](https://cdn.jsdelivr.net/gh/facebookresearch/ShapeR@main/resources/ShapeR.pdf) | [Video](https://www.youtube.com/watch?v=EbY30KAA55I) | [HF-Model](https://huggingface.co/facebook/ShapeR/) | [HF Evaluation Dataset](https://huggingface.co/datasets/facebook/ShapeR-Evaluation)
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## Usage
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