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README.md

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 ![teaser](resources/Teaser.jpg)
 
-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.
+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]()