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Disentangling Physical Dynamics from Unknown Factors for Unsupervised
  Video Prediction

Disentangling Physical Dynamics from Unknown Factors for Unsupervised Video Prediction

3 March 2020
Vincent Le Guen
Nicolas Thome
    AI4CE
    PINN
ArXivPDFHTML

Papers citing "Disentangling Physical Dynamics from Unknown Factors for Unsupervised Video Prediction"

26 / 26 papers shown
Title
SRVP: Strong Recollection Video Prediction Model Using Attention-Based Spatiotemporal Correlation Fusion
SRVP: Strong Recollection Video Prediction Model Using Attention-Based Spatiotemporal Correlation Fusion
Yuseon Kim
Kyongseok Park
22
0
0
10 Apr 2025
GMG: A Video Prediction Method Based on Global Focus and Motion Guided
GMG: A Video Prediction Method Based on Global Focus and Motion Guided
Yuhao Du
Hui Liu
Haoxiang Peng
Xinyuan Chen
Chenrong Wu
J. Zhang
52
0
0
14 Mar 2025
MAUCell: An Adaptive Multi-Attention Framework for Video Frame Prediction
MAUCell: An Adaptive Multi-Attention Framework for Video Frame Prediction
Shreyam Gupta
P. Agrawal
Priyam Gupta
57
0
0
28 Jan 2025
InterDyn: Controllable Interactive Dynamics with Video Diffusion Models
InterDyn: Controllable Interactive Dynamics with Video Diffusion Models
Rick Akkerman
Haiwen Feng
M. Black
Dimitrios Tzionas
Victoria Fernandez-Abrevaya
VGen
AI4CE
91
3
0
16 Dec 2024
Learning Physics From Video: Unsupervised Physical Parameter Estimation for Continuous Dynamical Systems
Learning Physics From Video: Unsupervised Physical Parameter Estimation for Continuous Dynamical Systems
Alejandro Castañeda Garcia
J. C. V. Gemert
Daan Brinks
Nergis Tömen
26
0
0
02 Oct 2024
Precise Forecasting of Sky Images Using Spatial Warping
Precise Forecasting of Sky Images Using Spatial Warping
Leron Julian
Aswin C. Sankaranarayanan
18
7
0
18 Sep 2024
ContPhy: Continuum Physical Concept Learning and Reasoning from Videos
ContPhy: Continuum Physical Concept Learning and Reasoning from Videos
Zhicheng Zheng
Xin Yan
Zhenfang Chen
Jingzhou Wang
Qin Zhi Eddie Lim
Joshua B. Tenenbaum
Chuang Gan
LRM
12
6
0
09 Feb 2024
DiffCast: A Unified Framework via Residual Diffusion for Precipitation
  Nowcasting
DiffCast: A Unified Framework via Residual Diffusion for Precipitation Nowcasting
Demin Yu
Xutao Li
Yunming Ye
Baoquan Zhang
Chuyao Luo
Kuai Dai
Rui Wang
Xunlai Chen
12
19
0
11 Dec 2023
SVQ: Sparse Vector Quantization for Spatiotemporal Forecasting
SVQ: Sparse Vector Quantization for Spatiotemporal Forecasting
Chao Chen
Tian Zhou
Yanjun Zhao
Hui Liu
Liang Sun
Rong Jin
10
0
0
06 Dec 2023
USTEP: Spatio-Temporal Predictive Learning under A Unified View
USTEP: Spatio-Temporal Predictive Learning under A Unified View
Cheng Tan
Jue Wang
Zhangyang Gao
Siyuan Li
Stan Z. Li
29
1
0
09 Oct 2023
Long-Term Prediction of Natural Video Sequences with Robust Video
  Predictors
Long-Term Prediction of Natural Video Sequences with Robust Video Predictors
Luke Ditria
Tom Drummond
12
0
0
21 Aug 2023
PreDiff: Precipitation Nowcasting with Latent Diffusion Models
PreDiff: Precipitation Nowcasting with Latent Diffusion Models
Zhihan Gao
Xingjian Shi
Boran Han
Hongya Wang
Xiaoyong Jin
Danielle C. Maddix
Yi Zhu
Mu Li
Bernie Wang
BDL
DiffM
10
53
0
19 Jul 2023
PastNet: Introducing Physical Inductive Biases for Spatio-temporal Video Prediction
PastNet: Introducing Physical Inductive Biases for Spatio-temporal Video Prediction
Hao Wu
Wei Xion
Fan Xu
Xian-Sheng Hua
C. L. Philip Chen
Xiansheng Hua
AI4TS
11
27
0
19 May 2023
A-CAP: Anticipation Captioning with Commonsense Knowledge
A-CAP: Anticipation Captioning with Commonsense Knowledge
D. Vo
Quoc-An Luong
Akihiro Sugimoto
Hideki Nakayama
11
2
0
13 Apr 2023
Improving deep learning precipitation nowcasting by using prior
  knowledge
Improving deep learning precipitation nowcasting by using prior knowledge
M. Choma
Petr Simánek
Jakub Bartel
10
0
0
27 Jan 2023
WeatherFusionNet: Predicting Precipitation from Satellite Data
WeatherFusionNet: Predicting Precipitation from Satellite Data
Jirí Pihrt
Rudolf Raevskiy
Petr Simánek
M. Choma
6
6
0
30 Nov 2022
Simulation of Atlantic Hurricane Tracks and Features: A Deep Learning
  Approach
Simulation of Atlantic Hurricane Tracks and Features: A Deep Learning Approach
Rikhi Bose
A. Pintar
E. Simiu
8
2
0
12 Aug 2022
Earthformer: Exploring Space-Time Transformers for Earth System
  Forecasting
Earthformer: Exploring Space-Time Transformers for Earth System Forecasting
Zhihan Gao
Xingjian Shi
Hao Wang
Yi Zhu
Yuyang Wang
Mu Li
Dit-Yan Yeung
AI4TS
13
144
0
12 Jul 2022
Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive
  Learning
Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning
Cheng Tan
Zhangyang Gao
Lirong Wu
Yongjie Xu
Jun-Xiong Xia
Siyuan Li
Stan Z. Li
19
102
0
24 Jun 2022
Deep-learning-based prediction of nanoparticle phase transitions during
  in situ transmission electron microscopy
Deep-learning-based prediction of nanoparticle phase transitions during in situ transmission electron microscopy
W. Fu
Steven Spurgeon
Chongmin Wang
Yuyan Shao
Wei Wang
A. Peles
10
1
0
23 May 2022
MSPred: Video Prediction at Multiple Spatio-Temporal Scales with
  Hierarchical Recurrent Networks
MSPred: Video Prediction at Multiple Spatio-Temporal Scales with Hierarchical Recurrent Networks
Angel Villar-Corrales
Ani J. Karapetyan
Andreas Boltres
Sven Behnke
11
11
0
17 Mar 2022
A Hierarchical Variational Neural Uncertainty Model for Stochastic Video
  Prediction
A Hierarchical Variational Neural Uncertainty Model for Stochastic Video Prediction
Moitreya Chatterjee
N. Ahuja
A. Cherian
UQCV
VGen
BDL
8
17
0
06 Oct 2021
Soft-DTW: a Differentiable Loss Function for Time-Series
Soft-DTW: a Differentiable Loss Function for Time-Series
Marco Cuturi
Mathieu Blondel
AI4TS
124
601
0
05 Mar 2017
Interaction Networks for Learning about Objects, Relations and Physics
Interaction Networks for Learning about Objects, Relations and Physics
Peter W. Battaglia
Razvan Pascanu
Matthew Lai
Danilo Jimenez Rezende
Koray Kavukcuoglu
AI4CE
OCL
PINN
GNN
252
1,394
0
01 Dec 2016
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
188
7,816
0
13 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
243
9,042
0
06 Jun 2015
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