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… See the full description on the dataset page:
https://huggingface.co/datasets/Martin-DewenMa/ShapeR-Evaluation.
