Do Not Escape From the Manifold: Discovering the Local Coordinates on the Latent Space of GANs

13 June 2021

Papers citing "Do Not Escape From the Manifold: Discovering the Local Coordinates on the Latent Space of GANs"

6 / 6 papers shown

Title
Concept Lens: Visually Analyzing the Consistency of Semantic Manipulation in GANs S. Jeong Mingwei Li Matthew Berger Shusen Liu 33 0 0 28 Jun 2024
Understanding the Latent Space of Diffusion Models through the Lens of Riemannian Geometry Yong-Hyun Park Mingi Kwon J. Choi Junghyo Jo Youngjung Uh DiffM 30 60 0 24 Jul 2023
Local Manifold Augmentation for Multiview Semantic Consistency Yu Yang Wing Yin Cheung Chang-rui Liu Xiang Ji 27 1 0 05 Nov 2022
Finding the global semantic representation in GAN through Frechet Mean Jaewoong Choi Geonho Hwang Hyunsoo Cho Myung-joo Kang GAN DRL 11 2 0 11 Oct 2022
Designing an Encoder for StyleGAN Image Manipulation Omer Tov Yuval Alaluf Yotam Nitzan Or Patashnik Daniel Cohen-Or 200 775 0 04 Feb 2021
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 262 10,183 0 12 Dec 2018