Add image-to-3d task category and link to paper

README.md

@@ -1,13 +1,17 @@
 ---
 license: cc-by-nc-4.0
+task_categories:
+- image-to-3d
+size_categories:
+- n<1K
+pretty_name: ShapeR Evaluation Dataset
 viewer: false
 tags:
 - 3d-reconstruction
 - 3d-generation
-pretty_name: ShapeR Evaluation Dataset
-size_categories:
-- n<1K
+arxiv: 2601.11514
 ---
+
 # ShapeR Evaluation Dataset
 
 ![Example visualization](resources/dataset_annotation_process.jpg)
@@ -15,12 +19,17 @@ size_categories:
 We introduce a new dataset of in-the-wild sequences with paired posed multi-view images, SLAM
 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.
 
-[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)
+[Project Page](http://facebookresearch.github.io/ShapeR)  |  [Paper](https://huggingface.co/papers/2601.11514)  |  [Code](https://github.com/facebookresearch/ShapeR) | [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
 
 Clone the [repository](https://github.com/facebookresearch/ShapeR) and follow the INSTALL.md instructions to install the required dependencies.
 
+To run inference on a sample from the dataset:
+```bash
+python infer_shape.py --input_pkl <sample.pkl> --config balance --output_dir output
+```
+
 ## Examples
 
 ![teaser](resources/dataset_samples.jpg)