Deep Marching Tetrahedra: a Hybrid Representation for High-Resolution 3DShape Synthesis

Neural Information Processing Systems 

We introduce DMTET, a deep 3D conditional generative model that can synthesize high-resolution 3D shapes using simple user guides such as coarse voxels.

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