Deep Generative Models
2023
K. Tertikas, P. Despoina, B. Pan, J. J. Park, M. A. Uy, I. Emiris, Y. Avrithis, and L. Guibas (2023) PartNeRF: Generating Part-Aware Editable 3D Shapes without 3D Supervision. arXiv:2303.09554, 2023-03-16. (more) (download)
2022
Y. Xu, F. He, B. Du, D. Tao, and L. Zhang (2022) Self-Ensembling GAN for Cross-Domain Semantic Segmentation. IEEE Transactions on Multimedia, 2022-12-29. (more) (download)
2021
D. Flam-Shepherd, T. Wu, X. Gu, A. Cervera-Lierta, M. Krenn, and A. Aspuru-Guzik (2021) Learning Interpretable Representations of Entanglement in Quantum Optics Experiments using Deep Generative Models. arXiv:2109.02490, 2021-09-06. (more) (download)
2019
D. Jonietz & M. Kopp (2019) Towards Modeling Geographical Processes with Generative Adversarial Networks (GANs). 14th International Conference on Spatial Information Theory (COSIT 2019), Leibniz International Proceedings in Informatics (LIPIcs), 142, 27, 2019-09-03. (more) (download)