Deep Generative Models in Engineering Design: A Review

21 October 2021

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

34 / 34 papers shown

Title
Aligning Constraint Generation with Design Intent in Parametric CAD Evan Casey Tianyu Zhang Shu Ishida John Roger Thompson Amir Hosein Khasahmadi Joseph George Lambourne P. Jayaraman K. Willis 35 0 0 17 Apr 2025
Deep Generative Model for Mechanical System Configuration Design Yasaman Etesam Hyunmin Cheong Mohammadmehdi Ataei P. Jayaraman AI4CE 34 2 0 09 Sep 2024
Data-driven topology design based on principal component analysis for 3D structural design problems Jun Yang Kentaro Yaji S. Yamasaki 23 0 0 03 Sep 2024
Text2Robot: Evolutionary Robot Design from Text Descriptions Ryan P. Ringel Zachary S. Charlick Jiaxun Liu Boxi Xia Boyuan Chen 42 2 0 28 Jun 2024
A Misleading Gallery of Fluid Motion by Generative Artificial Intelligence Ali Kashefi VGen 48 5 0 24 May 2024
ChatGPT as an inventor: Eliciting the strengths and weaknesses of current large language models against humans in engineering design D. N. Ege Henrik H. Øvrebø Vegar Stubberud M. F. Berg Christer W. Elverum Martin Steinert Håvard Vestad ALM LLMAG 23 1 0 29 Apr 2024
Generative AI and Process Systems Engineering: The Next Frontier Benjamin Decardi-Nelson Abdulelah S. Alshehri Akshay Ajagekar Fengqi You AI4CE LLMAG 26 24 0 15 Feb 2024
NITO: Neural Implicit Fields for Resolution-free Topology Optimization A. Nobari Giorgio Giannone Lyle Regenwetter Faez Ahmed AI4CE 30 3 0 07 Feb 2024
On the Noise Scheduling for Generating Plausible Designs with Diffusion Models Jiajie Fan L. Vuaille Thomas Bäck Hao Wang DiffM 11 6 0 19 Nov 2023
Physics-guided training of GAN to improve accuracy in airfoil design synthesis Kazunari Wada Katsuyuki Suzuki Kazuo Yonekura AI4CE 19 11 0 19 Aug 2023
Adversarial Latent Autoencoder with Self-Attention for Structural Image Synthesis Jiajie Fan L. Vuaille Hongya Wang Thomas Bäck AI4CE 19 5 0 19 Jul 2023
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 30 75 0 07 May 2023
Beyond Statistical Similarity: Rethinking Metrics for Deep Generative Models in Engineering Design Lyle Regenwetter Akash Srivastava Dan Gutfreund Faez Ahmed 16 28 0 06 Feb 2023
Learning to design without prior data: Discovering generalizable design strategies using deep learning and tree search Ayush Raina Jonathan Cagan Christopher McComb AI4CE 23 9 0 28 Nov 2022
Generative Transformers for Design Concept Generation Qihao Zhu Jianxi Luo AI4CE 16 48 0 07 Nov 2022
Efficient Diffusion Models for Vision: A Survey Anwaar Ulhaq Naveed Akhtar MedIm 32 60 0 07 Oct 2022
Probabilistic Generative Transformer Language models for Generative Design of Molecules Lai Wei Nihang Fu Yuqi Song Qian Wang Jianjun Hu AI4CE 31 11 0 20 Sep 2022
LINKS: A dataset of a hundred million planar linkage mechanisms for data-driven kinematic design A. Nobari Akash Srivastava Dan Gutfreund Faez Ahmed 3DV PINN AI4CE 12 11 0 30 Aug 2022
Diffusion Models Beat GANs on Topology Optimization Franccois Mazé Faez Ahmed DiffM AI4CE 32 57 0 20 Aug 2022
Generative Thermal Design Through Boundary Representation and Multi-Agent Cooperative Environment Hadi Keramati F. Hamdullahpur AI4CE 18 0 0 16 Aug 2022
Controllable Data Generation by Deep Learning: A Review Shiyu Wang Yuanqi Du Xiaojie Guo Bo Pan Zhaohui Qin Liang Zhao 29 28 0 19 Jul 2022
Generative Design Ideation: A Natural Language Generation Approach Qihao Zhu Jianxi Luo AI4CE 27 19 0 28 Mar 2022
Social Computational Design Method for Generating Product Shapes with GAN and Transformer Models Maolin Yang P. Jiang AI4CE 33 3 0 22 Feb 2022
FRAMED: An AutoML Approach for Structural Performance Prediction of Bicycle Frames Lyle Regenwetter Colin Weaver Faez Ahmed AI4CE 24 17 0 25 Jan 2022
Patent Data for Engineering Design: A Critical Review and Future Directions Shuo Jiang Serhad Sarica Binyang Song Jie Hu Jianxi Luo PINN AI4CE 22 12 0 15 Nov 2021
Goal-Directed Design Agents: Integrating Visual Imitation with One-Step Lookahead Optimization for Generative Design Ayush Raina Lucas Puentes Jonathan Cagan Christopher McComb AI4CE 18 6 0 07 Oct 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 255 4,777 0 24 Feb 2021
TopologyGAN: Topology Optimization Using Generative Adversarial Networks Based on Physical Fields Over the Initial Domain Zhenguo Nie Tong Lin Haoliang Jiang L. Kara AI4CE 100 168 0 05 Mar 2020
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 279 10,348 0 12 Dec 2018
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation Jiaxuan You Bowen Liu Rex Ying Vijay S. Pande J. Leskovec GNN 203 885 0 07 Jun 2018
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 14,099 0 02 Dec 2016
Image-to-Image Translation with Conditional Adversarial Networks Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros SSeg 212 19,447 0 21 Nov 2016
Conditional Image Synthesis With Auxiliary Classifier GANs Augustus Odena C. Olah Jonathon Shlens GAN 238 3,190 0 30 Oct 2016
Determinantal point processes for machine learning Alex Kulesza B. Taskar 162 1,122 0 25 Jul 2012