Data-Driven Design-by-Analogy: State of the Art and Future Directions

3 June 2021

Papers citing "Data-Driven Design-by-Analogy: State of the Art and Future Directions"

9 / 9 papers shown

Title
Inkspire: Supporting Design Exploration with Generative AI through Analogical Sketching David Chuan-En Lin Hyeonsu B Kang Nikolas Martelaro A. Kittur Yan-Ying Chen Matthew K. Hong 99 3 0 30 Jan 2025
Toward Artificial Empathy for Human-Centered Design: A Framework Qihao Zhu Jianxi Luo 29 16 0 19 Mar 2023
Generative Transformers for Design Concept Generation Qihao Zhu Jianxi Luo AI4CE 16 48 0 07 Nov 2022
Generative Pre-Trained Transformers for Biologically Inspired Design Qihao Zhu Xinyu Zhang Jianxi Luo AI4CE 19 3 0 31 Mar 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
Technology Fitness Landscape for Design Innovation: A Deep Neural Embedding Approach Based on Patent Data Shuo Jiang Jianxi Luo 27 9 0 21 Oct 2021
Toward AI Assistants That Let Designers Design Sebastiaan De Peuter Antti Oulasvirta Samuel Kaski AI4CE 16 19 0 22 Jul 2021
Deep Learning for Technical Document Classification Shuo Jiang Jie Hu C. Magee Jianxi Luo 16 40 0 27 Jun 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