A graph-convolution network that iteratively deforms a coarse mesh using pooled multi-view image features produces more accurate 3D shapes from a few images than prior single- and multi-view methods on ShapeNet.
Learning implicit fields for generative shape modeling
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Pixel2Mesh++: Multi-View 3D Mesh Generation via Deformation
A graph-convolution network that iteratively deforms a coarse mesh using pooled multi-view image features produces more accurate 3D shapes from a few images than prior single- and multi-view methods on ShapeNet.