Multiomics data integration with machine learning has become the standard approach for combining genomic, transcriptomic, proteomic, and metabolomic measurements collected from the same biological ...
Deep probabilistic generative models have achieved incredible success in many fields of application. Among such models, variational autoencoders (VAEs) have proved their ability in modeling a ...
We present DiffuScene, a diffusion model for diverse and realistic indoor scene synthesis. It can facilitate various down-stream applications: scene completion from partial scenes (left); scene ...
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