5 citations · 8 across the 6 of their papers we have counts for
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cs.GR2022★ 5 cited
GeoCode: Interpretable Shape Programs
Ofek Pearl, Itai Lang, Yuhua Hu +2
The task of crafting procedural programs capable of generating structurally valid 3D shapes easily and intuitively remains an elusive goal in computer vision and graphics. Within t…
cs.GR2022★ 1 cited
LoopDraw: a Loop-Based Autoregressive Model for Shape Synthesis and Editing
Nam Anh Dinh, Haochen Wang, Greg Shakhnarovich +1
There is no settled universal 3D representation for geometry with many alternatives such as point clouds, meshes, implicit functions, and voxels to name a few. In this work, we pre…
cs.CV2022★ 1 cited
TetGAN: A Convolutional Neural Network for Tetrahedral Mesh Generation
William Gao, April Wang, Gal Metzer +2
We present TetGAN, a convolutional neural network designed to generate tetrahedral meshes. We represent shapes using an irregular tetrahedral grid which encodes an occupancy and di…