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ShapeR

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 ShapeR introduces a novel approach to metric shape generation. Given an input image sequence, preprocessing extracts per-object metric sparse SLAM points, images, poses, and captions using off-the-shelf methods. A rectified flow transformer operating on VecSet latents conditions on these multimodal inputs to generate a shape code, which is decoded into the object’s mesh. By applying the model object-centrically to each detected object, we obtain a metric reconstruction of the entire scene.
-[Repository](https://github.com/facebookresearch/ShapeR) | [Paper]()
 ## Usage

 ShapeR introduces a novel approach to metric shape generation. Given an input image sequence, preprocessing extracts per-object metric sparse SLAM points, images, poses, and captions using off-the-shelf methods. A rectified flow transformer operating on VecSet latents conditions on these multimodal inputs to generate a shape code, which is decoded into the object’s mesh. By applying the model object-centrically to each detected object, we obtain a metric reconstruction of the entire scene.
+[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)
 ## Usage