Better 3D reconstruction without exact model match by using database of patches
Better 3D reconstruction without exact model match by using database of patches
Patch2CAD: Patchwise Embedding Learning for In-the-Wild Shape Retrieval from a Single Image
arXiv paper abstract https://arxiv.org/abs/2108.09368
arXiv PDF paper https://arxiv.org/pdf/2108.09368.pdf
3D perception of object shapes from RGB image input is fundamental towards semantic scene understanding
… To achieve a mapping between image views of objects and 3D shapes, we leverage CAD model priors from existing large-scale databases, and propose a novel approach towards constructing a joint embedding space between 2D images and 3D CAD models in a patch-wise fashion
— establishing correspondences between patches of an image view of an object and patches of CAD geometry.
This enables part similarity reasoning for retrieving similar CADs to a new image view without exact matches in the database.
… approach is more robust than state of the art in real-world scenarios without any exact CAD matches.
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