CSG: Unsupervised Learning of Compact CSG Trees with Dual Complements and Dropouts Fenggen Y u
–Neural Information Processing Systems
CSG and CAPRI-Net mentioned in Section 3 of the main paper. To prove Proposition 1, we provide an example that CAPRI-Net's sequence fails to support. CSG is able to support any CSG sequence. Each sub-figure represents a 2D implicit filed defined by the notation below. Specifically, we obtain the mesh for each primitive by performing Marching-Cube on the signed distance field produced by the quadric equation of that primitive.
Neural Information Processing Systems
Oct-8-2025, 14:41:32 GMT
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