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Hybrid VAE: Improving Deep Generative Models using Partial Observations

Hybrid VAE: Improving Deep Generative Models using Partial Observations

30 November 2017
Sergey Tulyakov
Andrew Fitzgibbon
Sebastian Nowozin
    DRL
ArXivPDFHTML

Papers citing "Hybrid VAE: Improving Deep Generative Models using Partial Observations"

5 / 5 papers shown
Title
Learning Conditional Variational Autoencoders with Missing Covariates
Learning Conditional Variational Autoencoders with Missing Covariates
S. Ramchandran
Gleb Tikhonov
Otto Lönnroth
Pekka Tiikkainen
Harri Lähdesmäki
CML
14
13
0
02 Mar 2022
Learning to Decompose and Disentangle Representations for Video
  Prediction
Learning to Decompose and Disentangle Representations for Video Prediction
Jun-Ting Hsieh
Bingbin Liu
De-An Huang
Li Fei-Fei
Juan Carlos Niebles
DRL
138
305
0
11 Jun 2018
MoCoGAN: Decomposing Motion and Content for Video Generation
MoCoGAN: Decomposing Motion and Content for Video Generation
Sergey Tulyakov
Ming-Yu Liu
Xiaodong Yang
Jan Kautz
GAN
63
1,131
0
17 Jul 2017
Learning a Probabilistic Latent Space of Object Shapes via 3D
  Generative-Adversarial Modeling
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling
Jiajun Wu
Chengkai Zhang
Tianfan Xue
Bill Freeman
J. Tenenbaum
GAN
171
1,940
0
24 Oct 2016
Discriminative Regularization for Generative Models
Discriminative Regularization for Generative Models
Alex Lamb
Vincent Dumoulin
Aaron Courville
DRL
40
65
0
09 Feb 2016
1