BIKED: A Dataset for Computational Bicycle Design with Machine Learning Benchmarks

10 March 2021

Papers citing "BIKED: A Dataset for Computational Bicycle Design with Machine Learning Benchmarks"

9 / 9 papers shown

Title
Exploring the Potentials and Challenges of Deep Generative Models in Product Design Conception Phillip Mueller Lars Mikelsons AI4CE 46 1 0 15 Jul 2024
On the Noise Scheduling for Generating Plausible Designs with Diffusion Models Jiajie Fan L. Vuaille Thomas Bäck Hao Wang DiffM 13 6 0 19 Nov 2023
MCD: A Model-Agnostic Counterfactual Search Method For Multi-modal Design Modifications Lyle Regenwetter Yazan Abu Obaideh Faez Ahmed 29 2 0 18 May 2023
DATED: Guidelines for Creating Synthetic Datasets for Engineering Design Applications Cyril Picard Jürg Schiffmann Faez Ahmed 40 8 0 15 May 2023
Bent & Broken Bicycles: Leveraging synthetic data for damaged object re-identification Luca Piano F. G. Pratticó Alessandro Sebastian Russo Lorenzo Lanari Lia Morra Fabrizio Lamberti 37 1 0 16 Apr 2023
Beyond Statistical Similarity: Rethinking Metrics for Deep Generative Models in Engineering Design Lyle Regenwetter Akash Srivastava Dan Gutfreund Faez Ahmed 24 28 0 06 Feb 2023
Diffusion Models Beat GANs on Topology Optimization Franccois Mazé Faez Ahmed DiffM AI4CE 35 57 0 20 Aug 2022
FRAMED: An AutoML Approach for Structural Performance Prediction of Bicycle Frames Lyle Regenwetter Colin Weaver Faez Ahmed AI4CE 32 17 0 25 Jan 2022
Deep Generative Models in Engineering Design: A Review Lyle Regenwetter Amin Heyrani Nobari Faez Ahmed 3DV AI4CE 34 175 0 21 Oct 2021