VoronoiNet: General Functional Approximators with Local Support

8 December 2019

Papers citing "VoronoiNet: General Functional Approximators with Local Support"

8 / 8 papers shown

Title
VoroMesh: Learning Watertight Surface Meshes with Voronoi Diagrams Nissim Maruani Roman Klokov M. Ovsjanikov Pierre Alliez Mathieu Desbrun 3DV 30 17 0 28 Aug 2023
Neural Fields as Learnable Kernels for 3D Reconstruction Francis Williams Zan Gojcic S. Khamis Denis Zorin Joan Bruna Sanja Fidler Or Litany 50 66 0 26 Nov 2021
Neural Fields in Visual Computing and Beyond Yiheng Xie Towaki Takikawa Shunsuke Saito Or Litany Shiqin Yan Numair Khan Federico Tombari James Tompkin Vincent Sitzmann Srinath Sridhar 3DH 49 616 0 22 Nov 2021
PatchNets: Patch-Based Generalizable Deep Implicit 3D Shape Representations E. Tretschk A. Tewari Vladislav Golyanik Michael Zollhöfer Carsten Stoll Christian Theobalt 3DPC 3DH 3DV 19 107 0 04 Aug 2020
Neural Splines: Fitting 3D Surfaces with Infinitely-Wide Neural Networks Francis Williams Matthew Trager Joan Bruna Denis Zorin 21 67 0 24 Jun 2020
SALD: Sign Agnostic Learning with Derivatives Matan Atzmon Y. Lipman 24 143 0 09 Jun 2020
Implicit Geometric Regularization for Learning Shapes Amos Gropp Lior Yariv Niv Haim Matan Atzmon Y. Lipman AI4CE 60 852 0 24 Feb 2020
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 260 1,811 0 25 Nov 2016