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A Hierarchical Variational Neural Uncertainty Model for Stochastic Video
  Prediction

A Hierarchical Variational Neural Uncertainty Model for Stochastic Video Prediction

6 October 2021
Moitreya Chatterjee
N. Ahuja
A. Cherian
    UQCV
    VGen
    BDL
ArXivPDFHTML

Papers citing "A Hierarchical Variational Neural Uncertainty Model for Stochastic Video Prediction"

13 / 13 papers shown
Title
Video Generation with Learned Action Prior
Video Generation with Learned Action Prior
Meenakshi Sarkar
Devansh Bhardwaj
Debasish Ghose
VGen
GAN
31
0
0
20 Jun 2024
State-space Decomposition Model for Video Prediction Considering
  Long-term Motion Trend
State-space Decomposition Model for Video Prediction Considering Long-term Motion Trend
Fei Cui
Jiaojiao Fang
Xiaojiang Wu
Zelong Lai
Mengke Yang
Menghan Jia
Guizhong Liu
32
0
0
17 Apr 2024
STDiff: Spatio-temporal Diffusion for Continuous Stochastic Video
  Prediction
STDiff: Spatio-temporal Diffusion for Continuous Stochastic Video Prediction
Xi Ye
Guillaume-Alexandre Bilodeau
VGen
DiffM
45
4
0
11 Dec 2023
MS-LSTM: Exploring Spatiotemporal Multiscale Representations in Video
  Prediction Domain
MS-LSTM: Exploring Spatiotemporal Multiscale Representations in Video Prediction Domain
Zhifeng Ma
Hao Zhang
Jie Liu
21
7
0
16 Apr 2023
SwinVRNN: A Data-Driven Ensemble Forecasting Model via Learned
  Distribution Perturbation
SwinVRNN: A Data-Driven Ensemble Forecasting Model via Learned Distribution Perturbation
Yuan Hu
Lei Chen
Zhibin Wang
Hao Li
OOD
23
47
0
26 May 2022
Probabilistic Representations for Video Contrastive Learning
Probabilistic Representations for Video Contrastive Learning
Jungin Park
Jiyoung Lee
Ig-Jae Kim
K. Sohn
SSL
26
43
0
08 Apr 2022
Diffusion Probabilistic Modeling for Video Generation
Diffusion Probabilistic Modeling for Video Generation
Ruihan Yang
Prakhar Srivastava
Stephan Mandt
DiffM
VGen
39
255
0
16 Mar 2022
Dense Uncertainty Estimation via an Ensemble-based Conditional Latent
  Variable Model
Dense Uncertainty Estimation via an Ensemble-based Conditional Latent Variable Model
Jing Zhang
Yuchao Dai
Mehrtash Harandi
Yiran Zhong
Nick Barnes
Richard I. Hartley
UQCV
16
1
0
22 Nov 2021
Sound2Sight: Generating Visual Dynamics from Sound and Context
Sound2Sight: Generating Visual Dynamics from Sound and Context
A. Cherian
Moitreya Chatterjee
N. Ahuja
VGen
71
35
0
23 Jul 2020
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
89
288
0
03 Mar 2020
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
279
10,348
0
12 Dec 2018
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
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
230
7,903
0
13 Jun 2015
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