Using Deep LSD to build operators in GANs latent space with meaning in real space

9 February 2021

Papers citing "Using Deep LSD to build operators in GANs latent space with meaning in real space"

7 / 7 papers shown

Title
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 385 6,592 0 26 Nov 2020
The Hessian Penalty: A Weak Prior for Unsupervised Disentanglement William S. Peebles John Peebles Jun-Yan Zhu Alexei A. Efros Antonio Torralba 73 115 0 24 Aug 2020
Jukebox: A Generative Model for Music Prafulla Dhariwal Heewoo Jun Christine Payne Jong Wook Kim Alec Radford Ilya Sutskever VLM 136 756 0 30 Apr 2020
Machine learning for molecular simulation Frank Noé A. Tkatchenko K. Müller C. Clementi AI4CE 80 665 0 07 Nov 2019
Generating Diverse High-Fidelity Images with VQ-VAE-2 Ali Razavi Aaron van den Oord Oriol Vinyals DRL BDL 151 1,828 0 02 Jun 2019
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks Alec Radford Luke Metz Soumith Chintala GAN OOD 309 14,032 0 19 Nov 2015
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 484 16,922 0 20 Dec 2013