Deep Generative Models in Engineering Design: A Review

21 October 2021

Papers citing "Deep Generative Models in Engineering Design: A Review"

50 / 86 papers shown

Title
GeoBiked: A Dataset with Geometric Features and Automated Labeling Techniques to Enable Deep Generative Models in Engineering Design Phillip Mueller Sebastian Mueller Lars Mikelsons 56 2 0 25 Sep 2024
Deep Generative Model for Mechanical System Configuration Design Yasaman Etesam Hyunmin Cheong Mohammadmehdi Ataei P. Jayaraman AI4CE 75 3 0 09 Sep 2024
Exploring the Potentials and Challenges of Deep Generative Models in Product Design Conception Phillip Mueller Lars Mikelsons AI4CE 84 3 0 15 Jul 2024
Text2Robot: Evolutionary Robot Design from Text Descriptions Ryan P. Ringel Zachary S. Charlick Jiaxun Liu Boxi Xia Boyuan Chen 100 2 0 28 Jun 2024
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 270 30,123 0 01 Mar 2022
Goal-Directed Design Agents: Integrating Visual Imitation with One-Step Lookahead Optimization for Generative Design Ayush Raina Lucas Puentes Jonathan Cagan Christopher McComb AI4CE 46 6 0 07 Oct 2021
Data-Driven Multiscale Design of Cellular Composites with Multiclass Microstructures for Natural Frequency Maximization Liwei Wang Anton van Beek Daicong Da Yu-Chin Chan Ping Zhu Wei Chen AI4CE 34 41 0 11 Jun 2021
PcDGAN: A Continuous Conditional Diverse Generative Adversarial Network For Inverse Design Amin Heyrani Nobari Wei Chen Faez Ahmed 48 50 0 07 Jun 2021
Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal Alex Nichol 219 7,831 0 11 May 2021
Creativity and Machine Learning: A Survey Giorgio Franceschelli Mirco Musolesi VLM AI4CE 60 42 0 06 Apr 2021
CreativeGAN: Editing Generative Adversarial Networks for Creative Design Synthesis Amin Heyrani Nobari Muhammad Fathy Rashad Faez Ahmed GAN AI4CE 52 51 0 10 Mar 2021
BIKED: A Dataset for Computational Bicycle Design with Machine Learning Benchmarks Lyle Regenwetter Brent Curry Faez Ahmed 101 36 0 10 Mar 2021
Learning Transferable Visual Models From Natural Language Supervision Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 918 29,372 0 26 Feb 2021
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 393 4,941 0 24 Feb 2021
Real-Time Topology Optimization in 3D via Deep Transfer Learning M. Behzadi H. Ilies 3DPC AI4CE 54 41 0 11 Feb 2021
Machine learning accelerated computational fluid dynamics Dmitrii Kochkov Jamie A. Smith Ayya Alieva Qing Wang M. Brenner Stephan Hoyer AI4CE 113 865 0 28 Jan 2021
Learning Mesh-Based Simulation with Graph Networks Tobias Pfaff Meire Fortunato Alvaro Sanchez-Gonzalez Peter W. Battaglia AI4CE 82 786 0 07 Oct 2020
Fusion 360 Gallery: A Dataset and Environment for Programmatic CAD Construction from Human Design Sequences Karl D. D. Willis Yewen Pu Jieliang Luo Hang Chu Tao Du Joseph G. Lambourne Armando Solar-Lezama Wojciech Matusik 83 64 0 05 Oct 2020
MO-PaDGAN: Reparameterizing Engineering Designs for Augmented Multi-objective Optimization Wei Chen Faez Ahmed AI4CE 69 35 0 15 Sep 2020
Deep Generative Modeling for Mechanistic-based Learning and Design of Metamaterial Systems Liwei Wang Yu-Chin Chan Faez Ahmed Zhao Liu Ping Zhu Wei Chen AI4CE 42 216 0 27 Jun 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 619 18,036 0 19 Jun 2020
METASET: Exploring Shape and Property Spaces for Data-Driven Metamaterials Design Yu-Chin Chan Faez Ahmed Liwei Wang Wei Chen 33 36 0 01 Jun 2020
StressGAN: A Generative Deep Learning Model for 2D Stress Distribution Prediction Haoliang Jiang Zhenguo Nie Roselyn Yeo A. Farimani Levent Burak Kara GAN 69 18 0 30 May 2020
Jukebox: A Generative Model for Music Prafulla Dhariwal Heewoo Jun Christine Payne Jong Wook Kim Alec Radford Ilya Sutskever VLM 110 746 0 30 Apr 2020
MeshingNet: A New Mesh Generation Method based on Deep Learning Zheyan Zhang Yongxing Wang P. Jimack He Wang AI4CE 35 64 0 15 Apr 2020
TopologyGAN: Topology Optimization Using Generative Adversarial Networks Based on Physical Fields Over the Initial Domain Zhenguo Nie Tong Lin Haoliang Jiang Levent Burak Kara AI4CE 126 170 0 05 Mar 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 393 10,591 0 17 Feb 2020
StarGAN v2: Diverse Image Synthesis for Multiple Domains Yunjey Choi Youngjung Uh Jaejun Yoo Jung-Woo Ha 3DH 125 1,749 0 04 Dec 2019
Analyzing and Improving the Image Quality of StyleGAN Tero Karras S. Laine M. Aittala Janne Hellsten J. Lehtinen Timo Aila GAN 282 5,810 0 03 Dec 2019
Composition-based Multi-Relational Graph Convolutional Networks Shikhar Vashishth Soumya Sanyal Vikram Nitin Partha P. Talukdar GNN 122 842 0 08 Nov 2019
Graph Transformer Networks Seongjun Yun Minbyul Jeong Raehyun Kim Jaewoo Kang Hyunwoo J. Kim 127 972 0 06 Nov 2019
Efficient Graph Generation with Graph Recurrent Attention Networks Renjie Liao Yujia Li Yang Song Shenlong Wang C. Nash William L. Hamilton David Duvenaud R. Urtasun R. Zemel GNN 131 334 0 02 Oct 2019
SDM-NET: Deep Generative Network for Structured Deformable Mesh Lin Gao Jie Yang Tong Wu Yu-Jie Yuan Hongbo Fu Yu-Kun Lai Hao Zhang 3DV 64 197 0 13 Aug 2019
StructureNet: Hierarchical Graph Networks for 3D Shape Generation Kaichun Mo Paul Guerrero L. Yi Hao Su Peter Wonka Niloy Mitra Leonidas Guibas 3DPC 100 134 0 01 Aug 2019
Learning to design from humans: Imitating human designers through deep learning Ayush Raina Christopher McComb Jonathan Cagan 3DV AI4CE 59 66 0 26 Jul 2019
An Introduction to Variational Autoencoders Diederik P. Kingma Max Welling BDL SSL DRL 74 2,354 0 06 Jun 2019
3D Shape Synthesis for Conceptual Design and Optimization Using Variational Autoencoders Wentai Zhang Zhangsihao Yang Haoliang Jiang Suyash Nigam Soji Yamakawa T. Furuhata K. Shimada Levent Burak Kara 3DV 48 41 0 16 Apr 2019
MeshGAN: Non-linear 3D Morphable Models of Faces Shiyang Cheng M. Bronstein Yuxiang Zhou I. Kotsia Maja Pantic Stefanos Zafeiriou CVBM 3DH GAN 44 81 0 25 Mar 2019
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation Jeong Joon Park Peter R. Florence Julian Straub Richard Newcombe S. Lovegrove 3DV 131 3,683 0 16 Jan 2019
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 569 10,555 0 12 Dec 2018
PartNet: A Large-scale Benchmark for Fine-grained and Hierarchical Part-level 3D Object Understanding Kaichun Mo Shilin Zhu Angel X. Chang L. Yi Subarna Tripathi Leonidas Guibas Hao Su 3DPC 3DV 88 732 0 06 Dec 2018
Stress Field Prediction in Cantilevered Structures Using Convolutional Neural Networks Zhenguo Nie Haoliang Jiang Levent Burak Kara 30 142 0 27 Aug 2018
BézierGAN: Automatic Generation of Smooth Curves from Interpretable Low-Dimensional Parameters Wei Chen M. Fuge AI4CE 41 37 0 27 Aug 2018
Generating 3D faces using Convolutional Mesh Autoencoders Anurag Ranjan Timo Bolkart Soubhik Sanyal Michael J. Black CVBM 3DH 64 573 0 26 Jul 2018
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation Jiaxuan You Bowen Liu Rex Ying Vijay S. Pande J. Leskovec GNN 287 902 0 07 Jun 2018
Deep Fluids: A Generative Network for Parameterized Fluid Simulations Byungsoo Kim Vinicius Azevedo N. Thürey Theodore Kim Markus Gross B. Solenthaler GAN 55 389 0 06 Jun 2018
MolGAN: An implicit generative model for small molecular graphs Nicola De Cao Thomas Kipf GNN GAN 177 925 0 30 May 2018
Learning Deep Generative Models of Graphs Yujia Li Oriol Vinyals Chris Dyer Razvan Pascanu Peter W. Battaglia GNN AI4CE 194 661 0 08 Mar 2018
NetGAN: Generating Graphs via Random Walks Aleksandar Bojchevski Oleksandr Shchur Daniel Zügner Stephan Günnemann GAN GNN 174 361 0 02 Mar 2018
GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models Jiaxuan You Rex Ying Xiang Ren William L. Hamilton J. Leskovec GNN BDL 116 848 0 24 Feb 2018