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BOgen: Generating Part-Level 3D Designs Based on User Intention
  Inference through Bayesian Optimization and Variational Autoencoder

BOgen: Generating Part-Level 3D Designs Based on User Intention Inference through Bayesian Optimization and Variational Autoencoder

5 December 2023
Seung Won Lee
Jiin Choi
Kyung-Hoon Hyun
ArXivPDFHTML

Papers citing "BOgen: Generating Part-Level 3D Designs Based on User Intention Inference through Bayesian Optimization and Variational Autoencoder"

2 / 2 papers shown
Title
Neural Wavelet-domain Diffusion for 3D Shape Generation
Neural Wavelet-domain Diffusion for 3D Shape Generation
Ka-Hei Hui
Ruihui Li
Jingyu Hu
Chi-Wing Fu
DiffM
56
123
0
19 Sep 2022
AdaptiFont: Increasing Individuals' Reading Speed with a Generative Font
  Model and Bayesian Optimization
AdaptiFont: Increasing Individuals' Reading Speed with a Generative Font Model and Bayesian Optimization
Florian Kadner
Yannik Keller
Constantin Rothkopf
35
34
0
21 Apr 2021
1