Explicit Disentanglement of Appearance and Perspective in Generative Models

11 June 2019

Papers citing "Explicit Disentanglement of Appearance and Perspective in Generative Models"

9 / 9 papers shown

Title
DualContrast: Unsupervised Disentangling of Content and Transformations with Implicit Parameterization M. R. Uddin Min Xu 51 0 0 27 May 2024
Compositional Law Parsing with Latent Random Functions Fan Shi Bin Li Xiangyang Xue CoGe 21 4 0 15 Sep 2022
Gromov-Wasserstein Autoencoders Nao Nakagawa Ren Togo Takahiro Ogawa Miki Haseyama GAN DRL 26 11 0 15 Sep 2022
Stochastic Video Prediction with Structure and Motion Adil Kaan Akan Sadra Safadoust Fatma Guney VGen 24 9 0 20 Mar 2022
Symmetry-Based Representations for Artificial and Biological General Intelligence I. Higgins S. Racanière Danilo Jimenez Rezende AI4CE 31 44 0 17 Mar 2022
Unsupervised part representation by Flow Capsules S. Sabour Andrea Tagliasacchi S. Yazdani Geoffrey E. Hinton David J. Fleet 3DPC OCL 30 37 0 27 Nov 2020
Geodesics in fibered latent spaces: A geometric approach to learning correspondences between conditions Tariq Daouda Reda Chhaibi Prudencio Tossou A. Villani 11 2 0 16 May 2020
An Explicit Local and Global Representation Disentanglement Framework with Applications in Deep Clustering and Unsupervised Object Detection Rujikorn Charakorn Y. Thawornwattana Sirawaj Itthipuripat Nick Pawlowski P. Manoonpong Nat Dilokthanakul DRL OCL 19 13 0 24 Jan 2020
Estimation of Orientation and Camera Parameters from Cryo-Electron Microscopy Images with Variational Autoencoders and Generative Adversarial Networks Nina Miolane Frédéric Poitevin Yee-Ting Li S. Holmes 3DV 16 23 0 19 Nov 2019