Geometry of Deep Generative Models for Disentangled Representations

19 February 2019

Papers citing "Geometry of Deep Generative Models for Disentangled Representations"

5 / 5 papers shown

Title
Disentanglement Learning via Topology Nikita Balabin Daria Voronkova I. Trofimov Evgeny Burnaev S. Barannikov DRL 150 3 0 24 Aug 2023
Learning Pose Image Manifolds Using Geometry-Preserving GANs and Elasticae Shenyuan Liang Pavan Turaga Anuj Srivastava 84 0 0 17 May 2023
Disentangling Multiple Features in Video Sequences using Gaussian Processes in Variational Autoencoders Sarthak Bhagat Shagun Uppal Vivian Yin Nengli Lim DRL 27 2 0 08 Jan 2020
Product of Orthogonal Spheres Parameterization for Disentangled Representation Learning Ankita Shukla Sarthak Bhagat Shagun Uppal Saket Anand Pavan Turaga CML OOD DRL 65 23 0 22 Jul 2019
Dimensionality compression and expansion in Deep Neural Networks Stefano Recanatesi M. Farrell Madhu S. Advani Timothy Moore Guillaume Lajoie E. Shea-Brown 77 74 0 02 Jun 2019