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Found 3 papers, 1 papers with code
ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenes
Each scene is captured with a high-end laser scanner at sub-millimeter resolution, along with registered 33-megapixel images from a DSLR camera, and RGB-D streams from an iPhone.
Directional Message Passing on Molecular Graphs via Synthetic Coordinates
We furthermore set the state of the art on ZINC and coordinate-free QM9 by incorporating synthetic coordinates in the SMP and DimeNet++ models.
SceneFormer: Indoor Scene Generation with Transformers
In contrast, we do not use any appearance information, and implicitly learn object relations using the self-attention mechanism of transformers.
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