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Dual Octree Graph Networks for Learning Adaptive Volumetric Shape Representations
Research & Education
Full Conference Supporter
Exhibitor Additional Full Conference
Exhibitor Full Conference
This session WILL NOT be recorded.
LocationEast Building, Room 1-3
DescriptionGiven an input point cloud, our network can predict the reconstructed mesh by just one forward pass and with state-of-the-art performances. To this end, we use an octree to partition the 3D volume and build a novel graph network on the dual octree to learn the adaptive volumetric shape representation.