Geometric Deep Learning for Computer-Aided Design: A Survey

27 February 2024

Papers citing "Geometric Deep Learning for Computer-Aided Design: A Survey"

7 / 7 papers shown

Title
Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy Chen Wang Kaiyi Ji Junyi Geng Zhongqiang Ren Taimeng Fu ... Yi Du Qihang Li Y. Yang Xiao Lin Zhipeng Zhao SSL 69 8 0 28 Jan 2025
CAD 3D Model classification by Graph Neural Networks: A new approach based on STEP format L. Mandelli Stefano Berretti 3DPC 3DV 33 6 0 30 Oct 2022
Computer-Aided Design as Language Yaroslav Ganin Sergey Bartunov Yujia Li E. Keller Stefano Saliceti 3DV 91 87 0 06 May 2021
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 163 1,095 0 27 Apr 2021
Engineering Sketch Generation for Computer-Aided Design Karl D. D. Willis P. Jayaraman Joseph G. Lambourne Hang Chu Yewen Pu 3DV 111 61 0 19 Apr 2021
Temporal Attention-Augmented Graph Convolutional Network for Efficient Skeleton-Based Human Action Recognition Negar Heidari Alexandros Iosifidis GNN 32 30 0 23 Oct 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 210 13,886 0 02 Dec 2016