2.9k citations · 10.7k across the 136 of their papers we have counts for
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SceneHGN: Hierarchical Graph Networks for 3D Indoor Scene Generation with Fine-Grained Geometry
Lin Gao, Jia-Mu Sun, Kaichun Mo +3
3D indoor scenes are widely used in computer graphics, with applications ranging from interior design to gaming to virtual and augmented reality. They also contain rich information…
Learning Spectral Unions of Partial Deformable 3D Shapes
Luca Moschella, Simone Melzi, Luca Cosmo +5
Spectral geometric methods have brought revolutionary changes to the field of geometry processing. Of particular interest is the study of the Laplacian spectrum as a compact, isome…
DeformSyncNet: Deformation Transfer via Synchronized Shape Deformation Spaces
Minhyuk Sung, Zhenyu Jiang, Panos Achlioptas +2
Shape deformation is an important component in any geometry processing toolbox. The goal is to enable intuitive deformations of single or multiple shapes or to transfer example def…
DSG-Net: Learning Disentangled Structure and Geometry for 3D Shape Generation
Jie Yang, Kaichun Mo, Yu-Kun Lai +2
D shape generation is a fundamental operation in computer graphics. While significant progress has been made, especially with recent deep generative models, it remains a challenge…
ManifoldPlus: A Robust and Scalable Watertight Manifold Surface Generation Method for Triangle Soups
Jingwei Huang, Yichao Zhou, Leonidas Guibas
We present ManifoldPlus, a method for robust and scalable conversion of triangle soups to watertight manifolds. While many algorithms in computer graphics require the input mesh to…
MeshODE: A Robust and Scalable Framework for Mesh Deformation
Jingwei Huang, Chiyu Max Jiang, Baiqiang Leng +2
We present MeshODE, a scalable and robust framework for pairwise CAD model deformation without prespecified correspondences. Given a pair of shapes, our framework provides a novel…