3D Shape Synthesis for Conceptual Design and Optimization Using Variational Autoencoders

16 April 2019

Papers citing "3D Shape Synthesis for Conceptual Design and Optimization Using Variational Autoencoders"

9 / 9 papers shown

Title
Data-driven topology design based on principal component analysis for 3D structural design problems Jun Yang Kentaro Yaji S. Yamasaki 28 0 0 03 Sep 2024
Uncertainty Quantification in Machine Learning for Engineering Design and Health Prognostics: A Tutorial V. Nemani Luca Biggio Xun Huan Zhen Hu Olga Fink Anh Tran Yan Wang Xiaoge Zhang Chao Hu AI4CE 33 75 0 07 May 2023
Learning to design without prior data: Discovering generalizable design strategies using deep learning and tree search Ayush Raina Jonathan Cagan Christopher McComb AI4CE 25 9 0 28 Nov 2022
FakeNews: GAN-based generation of realistic 3D volumetric data -- A systematic review and taxonomy André Ferreira Jianning Li Kelsey L. Pomykala Jens Kleesiek Victor Alves Jan Egger MedIm 29 22 0 04 Jul 2022
Deep Generative Models in Engineering Design: A Review Lyle Regenwetter A. Nobari Faez Ahmed 3DV AI4CE 34 175 0 21 Oct 2021
Design Strategy Network: A deep hierarchical framework to represent generative design strategies in complex action spaces Ayush Raina Jonathan Cagan Christopher McComb AI4CE 25 13 0 07 Oct 2021
Range-GAN: Range-Constrained Generative Adversarial Network for Conditioned Design Synthesis A. Nobari Wei Chen Faez Ahmed GAN AI4CE 19 11 0 10 Mar 2021
MO-PaDGAN: Reparameterizing Engineering Designs for Augmented Multi-objective Optimization Wei Chen Faez Ahmed AI4CE 33 34 0 15 Sep 2020
Data-driven topology design using a deep generative model S. Yamasaki Kentaro Yaji K. Fujita AI4CE 20 27 0 08 Jun 2020