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S-HR-VQVAE: Sequential Hierarchical Residual Learning Vector Quantized
  Variational Autoencoder for Video Prediction

S-HR-VQVAE: Sequential Hierarchical Residual Learning Vector Quantized Variational Autoencoder for Video Prediction

13 July 2023
Mohammad Adiban
Kalin Stefanov
Sabato Marco Siniscalchi
G. Salvi
ArXivPDFHTML

Papers citing "S-HR-VQVAE: Sequential Hierarchical Residual Learning Vector Quantized Variational Autoencoder for Video Prediction"

6 / 6 papers shown
Title
Attentive VQ-VAE
Attentive VQ-VAE
A. Hoyos
Mariano Rivera
16
0
0
20 Sep 2023
A unified model for continuous conditional video prediction
A unified model for continuous conditional video prediction
Xi Ye
Guillaume-Alexandre Bilodeau
AI4TS
27
7
0
11 Oct 2022
Disentangling Physical Dynamics from Unknown Factors for Unsupervised
  Video Prediction
Disentangling Physical Dynamics from Unknown Factors for Unsupervised Video Prediction
Vincent Le Guen
Nicolas Thome
AI4CE
PINN
78
287
0
03 Mar 2020
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
127
304
0
11 Jun 2018
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
201
7,884
0
13 Jun 2015
Spatial Transformer Networks
Spatial Transformer Networks
Max Jaderberg
Karen Simonyan
Andrew Zisserman
Koray Kavukcuoglu
124
7,319
0
05 Jun 2015
1