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MouldingNet: Deep-learning for 3D Object Reconstruction

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Figure

Figure 1: Our network architecture. The input is passed into the encoder to produce a descriptor, which is then appended to the co-ordinates of a unit sphere
Table 1: In order to demonstrate our networks ability to represent known 3D shapes we first train over the ShapeNet [Chang et al., 2015] dataset before testing over ModelNet40 [Wu et al., 2014]

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