On Linear Interpolation in the Latent Space of Deep Generative Models

8 May 2021

Papers citing "On Linear Interpolation in the Latent Space of Deep Generative Models"

7 / 7 papers shown

Title
Understanding Variational Autoencoders with Intrinsic Dimension and Information Imbalance Charles Camboulin Diego Doimo Aldo Glielmo DRL 69 0 0 04 Nov 2024
Geometry-Aware Generative Autoencoders for Warped Riemannian Metric Learning and Generative Modeling on Data Manifolds Xingzhi Sun Danqi Liao Kincaid MacDonald Yanlei Zhang Chen Liu Guillaume Huguet Guy Wolf Ian M. Adelstein Tim G. J. Rudner Smita Krishnaswamy 46 3 0 16 Oct 2024
(Deep) Generative Geodesics Beomsu Kim Michael Puthawala Jong Chul Ye Emanuele Sansone 23 0 0 15 Jul 2024
Generation of Geodesics with Actor-Critic Reinforcement Learning to Predict Midpoints Kazumi Kasaura 33 0 0 02 Jul 2024
Optimized latent-code selection for explainable conditional text-to-image GANs Zhenxing Zhang Lambert Schomaker 25 4 0 27 Apr 2022
Exploring the Latent Space of Autoencoders with Interventional Assays Felix Leeb Stefan Bauer M. Besserve Bernhard Schölkopf DRL 49 17 0 30 Jun 2021
Feature-Based Interpolation and Geodesics in the Latent Spaces of Generative Models Lukasz Struski M. Sadowski Tomasz Danel Jacek Tabor Igor T. Podolak DiffM 20 7 0 06 Apr 2019