Shape completion with graph attention layer and surface normal
Shape completion, the problem of inferring the complete geometry of an object given the partial observation, is an essential part of robotics and computer vision. This work proposes a novel graph neural network, Graph Normal Network (GNnet). Its encoder combines a graph-based model for encoding loca...
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| Online Access: | http://hdl.handle.net/2047/D20409245 |