HybridSDF: Combining Deep Implicit Shapes and Geometric Primitives for 3D Shape Representation and Manipulation

22 September 2021

Papers citing "HybridSDF: Combining Deep Implicit Shapes and Geometric Primitives for 3D Shape Representation and Manipulation"

6 / 6 papers shown

Title
Point2CAD: Reverse Engineering CAD Models from 3D Point Clouds Yujia Liu Anton Obukhov Jan Dirk Wegner Konrad Schindler 3DPC 35 12 0 07 Dec 2023
DPF-Net: Combining Explicit Shape Priors in Deformable Primitive Field for Unsupervised Structural Reconstruction of 3D Objects Qing Shuai Chi Zhang Kaizhi Yang Xiao Chen 35 10 0 25 Aug 2023
SURFSUP: Learning Fluid Simulation for Novel Surfaces Arjun Mani I. Chandratreya Elliot Creager Carl Vondrick R. Zemel AI4CE 22 2 0 13 Apr 2023
Marching-Primitives: Shape Abstraction from Signed Distance Function Weixiao Liu Yuwei Wu Sipu Ruan Gregory S. Chirikjian 32 13 0 23 Mar 2023
Convolutional Occupancy Networks Songyou Peng Michael Niemeyer L. Mescheder Marc Pollefeys Andreas Geiger 3DV AI4CE 232 971 0 10 Mar 2020
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 222 14,103 0 02 Dec 2016