Sampling Generative Networks

14 September 2016

Papers citing "Sampling Generative Networks"

12 / 12 papers shown

Title
Principled Interpolation in Normalizing Flows Samuel G. Fadel Sebastian Mair Ricardo da S. Torres Ulf Brefeld 77 3 0 22 Oct 2020
X-Fields: Implicit Neural View-, Light- and Time-Image Interpolation Mojtaba Bemana K. Myszkowski Hans-Peter Seidel Tobias Ritschel 21 50 0 01 Oct 2020
Audio query-based music source separation Jie Hwan Lee Hyeong-Seok Choi Kyogu Lee 28 44 0 19 Aug 2019
D-VAE: A Variational Autoencoder for Directed Acyclic Graphs Muhan Zhang Shali Jiang Zhicheng Cui Roman Garnett Yixin Chen GNN BDL CML 26 196 0 24 Apr 2019
Diversity-Sensitive Conditional Generative Adversarial Networks Dingdong Yang Seunghoon Hong Y. Jang Tianchen Zhao Honglak Lee GAN 39 214 0 25 Jan 2019
Learning a Latent Space of Multitrack Measures Ian Simon Adam Roberts Colin Raffel Jesse Engel Curtis Hawthorne Douglas Eck 21 52 0 01 Jun 2018
A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music Adam Roberts Jesse Engel Colin Raffel Curtis Hawthorne Douglas Eck BDL 41 474 0 13 Mar 2018
Semantic Interpolation in Implicit Models Yannic Kilcher Aurelien Lucchi Thomas Hofmann 27 17 0 31 Oct 2017
CosmoGAN: creating high-fidelity weak lensing convergence maps using Generative Adversarial Networks M. Mustafa Deborah Bard W. Bhimji Z. Lukić Rami Al-Rfou J. Kratochvil GAN 11 123 0 07 Jun 2017
Procedural Content Generation via Machine Learning (PCGML) A. Summerville Sam Snodgrass Matthew J. Guzdial Christoffer Holmgård Amy K. Hoover Aaron Isaksen Andy Nealen Julian Togelius 3DV 17 385 0 02 Feb 2017
Neural Photo Editing with Introspective Adversarial Networks Andrew Brock Theodore Lim J. Ritchie Nick Weston GAN 27 457 0 22 Sep 2016
Discriminative Regularization for Generative Models Alex Lamb Vincent Dumoulin Aaron Courville DRL 40 65 0 09 Feb 2016