Measuring the Biases and Effectiveness of Content-Style Disentanglement

27 August 2020

Papers citing "Measuring the Biases and Effectiveness of Content-Style Disentanglement"

7 / 7 papers shown

Title
Disentangling representations of retinal images with generative models Sarah Muller Lisa M. Koch Hendrik P. A. Lensch Philipp Berens MedIm 32 3 0 29 Feb 2024
Understanding Pose and Appearance Disentanglement in 3D Human Pose Estimation K. K. Nakka Mathieu Salzmann DRL CoGe 26 2 0 20 Sep 2023
Towards General Game Representations: Decomposing Games Pixels into Content and Style C. Trivedi Konstantinos Makantasis Antonios Liapis Georgios N. Yannakakis OCL 41 3 0 20 Jul 2023
Information Removal at the bottleneck in Deep Neural Networks Enzo Tartaglione 48 2 0 30 Sep 2022
Measuring Disentanglement: A Review of Metrics M. Carbonneau Julian Zaïdi Jonathan Boilard G. Gagnon CoGe DRL 28 81 0 16 Dec 2020
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 297 10,368 0 12 Dec 2018
Measuring and testing dependence by correlation of distances G. Székely Maria L. Rizzo N. K. Bakirov 179 2,578 0 28 Mar 2008