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Found 3 papers, 2 papers with code
MVRackLay: Monocular Multi-View Layout Estimation for Warehouse Racks and Shelves
To the best of our knowledge, this is the first such work to portray a 3D rendering of a warehouse scene in terms of its semantic components - Racks, Shelves and Objects - all from a single monocular camera.
Synthetic 3D Data Generation Pipeline for Geometric Deep Learning in Architecture
The variety of annotations, the flexibility to customize the generated building and dataset parameters make this framework suitable for multiple deep learning tasks, including geometric deep learning that requires direct 3D supervision.
Monocular Multi-Layer Layout Estimation for Warehouse Racks
Given a monocular colour image of a warehouse rack, we aim to predict the bird's-eye view layout for each shelf in the rack, which we term as multi-layer layout prediction.
