PCAAE: Principal Component Analysis Autoencoder for organising the latent space of generative networks

14 June 2020

Papers citing "PCAAE: Principal Component Analysis Autoencoder for organising the latent space of generative networks"

8 / 8 papers shown

Title
Machine learning for modelling unstructured grid data in computational physics: a review Sibo Cheng Marc Bocquet Weiping Ding Tobias S. Finn Rui Fu ... Yong Zeng Mingrui Zhang Hao Zhou Kewei Zhu Rossella Arcucci PINN AI4CE 114 0 0 13 Feb 2025
Towards General Game Representations: Decomposing Games Pixels into Content and Style C. Trivedi Konstantinos Makantasis Antonios Liapis Georgios N. Yannakakis OCL 43 3 0 20 Jul 2023
Information-Ordered Bottlenecks for Adaptive Semantic Compression Matthew Ho Xiao-Fen Zhao Benjamin Dan Wandelt 18 5 0 18 May 2023
Landmark Enforcement and Style Manipulation for Generative Morphing Samuel Price Sobhan Soleymani Nasser M. Nasrabadi CVBM 42 2 0 18 Oct 2022
Triangular Dropout: Variable Network Width without Retraining Edward W. Staley Jared Markowitz 28 2 0 02 May 2022
A Latent Transformer for Disentangled Face Editing in Images and Videos Xu Yao A. Newson Y. Gousseau Pierre Hellier CVBM 32 84 0 22 Jun 2021
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 306 10,368 0 12 Dec 2018
Conditional Image Synthesis With Auxiliary Classifier GANs Augustus Odena C. Olah Jonathon Shlens GAN 250 3,191 0 30 Oct 2016