PUF replaces deterministic 2D-to-3D scene graph fusion with probabilistic node association and Dirichlet evidence accumulation, yielding substantial accuracy gains on 3DSSG and ReplicaSSG at 15ms/frame.
In: European Conference on Computer Vision
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Proposes Spatial Group Convolution to accelerate 3D semantic scene completion networks via grouped sparse operations, reporting state-of-the-art accuracy and speed on SUNCG.
citing papers explorer
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PUF: Plug-and-Play Uncertainty-Aware Fusion for Online 3D Scene Graph Generation
PUF replaces deterministic 2D-to-3D scene graph fusion with probabilistic node association and Dirichlet evidence accumulation, yielding substantial accuracy gains on 3DSSG and ReplicaSSG at 15ms/frame.
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Efficient Semantic Scene Completion Network with Spatial Group Convolution
Proposes Spatial Group Convolution to accelerate 3D semantic scene completion networks via grouped sparse operations, reporting state-of-the-art accuracy and speed on SUNCG.