Abstract: 3D hand-object interaction data is scarce due to the hardware constraints in scaling up the data collection pro-cess. In this paper, we propose HOIDiffusion for generating realistic and ...
As humans, our eyes take in two-dimensional images that our brains convert to three-dimensional experiences. This ability enables us to be aware of our position in space, judge distances, possess ...
Abstract: Equivariant quantum graph neural networks (EQGNNs) offer a potentially powerful method to process graph data. However, existing EQGNN models only consider the permutation symmetry of graphs, ...
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