November 27, 2017 conference-paper Exploring generative 3D shapes using autoencoder networks SIGGRAPH Asia Technical Briefs DOI: 10.1145/3145749.3145758 OpenAlex Authors 0 Author list not loaded yet. Cited by 5 stored of 66 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Point2FFD: Learning Shape Representations of Simulation-Ready 3D Models for Engineering Design Optimization 2021 International Conference on 3D Vision (3DV) conference-paper Engineering 3D Shape Modeling and Analysis Open access 8 citations Exploiting Local Geometric Features in Vehicle Design Optimization with 3D Point Cloud Autoencoders 2021 IEEE Congress on Evolutionary Computation (CEC) conference-paper Engineering 3D Shape Modeling and Analysis 13 citations Multitask Shape Optimization Using a 3-D Point Cloud Autoencoder as Unified Representation 2021 IEEE Transactions on Evolutionary Computation article Computer Science Evolutionary Algorithms and Applications Open access cited by 1 patent 31 citations Back To Meshes: Optimal Simulation-ready Mesh Prototypes For Autoencoder-based 3D Car Point Clouds 2020 IEEE Symposium Series on Computational Intelligence (SSCI) conference-paper Engineering 3D Shape Modeling and Analysis 4 citations Feature Visualization for 3D Point Cloud Autoencoders 2020 conference-paper Engineering 3D Shape Modeling and Analysis 21 citations 5 results References 0