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Vid-ODE: Continuous-Time Video Generation with Neural Ordinary
  Differential Equation

Vid-ODE: Continuous-Time Video Generation with Neural Ordinary Differential Equation

16 October 2020
Sunghyun Park
Kangyeol Kim
Junsoo Lee
Jaegul Choo
Joonseok Lee
Sookyung Kim
E. Choi
ArXivPDFHTML

Papers citing "Vid-ODE: Continuous-Time Video Generation with Neural Ordinary Differential Equation"

13 / 13 papers shown
Title
Learning to Decouple Complex Systems
Learning to Decouple Complex Systems
Zihan Zhou
Tianshu Yu
BDL
74
4
0
17 Feb 2025
SMURF: Continuous Dynamics for Motion-Deblurring Radiance Fields
SMURF: Continuous Dynamics for Motion-Deblurring Radiance Fields
Jungho Lee
Dogyoon Lee
Minhyeok Lee
Donghyung Kim
Sangyoun Lee
39
7
0
12 Mar 2024
VidStyleODE: Disentangled Video Editing via StyleGAN and NeuralODEs
VidStyleODE: Disentangled Video Editing via StyleGAN and NeuralODEs
Moayed Haji-Ali
Andrew Bond
Tolga Birdal
Duygu Ceylan
Levent Karacan
Erkut Erdem
Aykut Erdem
VGen
DiffM
118
2
0
12 Apr 2023
Variational Inference for Longitudinal Data Using Normalizing Flows
Variational Inference for Longitudinal Data Using Normalizing Flows
Clément Chadebec
S. Allassonnière
BDL
DRL
26
1
0
24 Mar 2023
A unified model for continuous conditional video prediction
A unified model for continuous conditional video prediction
Xi Ye
Guillaume-Alexandre Bilodeau
AI4TS
37
7
0
11 Oct 2022
Modelling Latent Dynamics of StyleGAN using Neural ODEs
Modelling Latent Dynamics of StyleGAN using Neural ODEs
Weihao Xia
Yujiu Yang
Jing-Hao Xue
24
0
0
23 Aug 2022
Long Video Generation with Time-Agnostic VQGAN and Time-Sensitive
  Transformer
Long Video Generation with Time-Agnostic VQGAN and Time-Sensitive Transformer
Songwei Ge
Thomas Hayes
Harry Yang
Xiaoyue Yin
Guan Pang
David Jacobs
Jia-Bin Huang
Devi Parikh
ViT
53
214
0
07 Apr 2022
TO-FLOW: Efficient Continuous Normalizing Flows with Temporal
  Optimization adjoint with Moving Speed
TO-FLOW: Efficient Continuous Normalizing Flows with Temporal Optimization adjoint with Moving Speed
Shian Du
Yihong Luo
Wei-Neng Chen
Jian Xu
Delu Zeng
24
7
0
19 Mar 2022
E-CIR: Event-Enhanced Continuous Intensity Recovery
E-CIR: Event-Enhanced Continuous Intensity Recovery
Chenglong Song
Qi-Xing Huang
Chandrajit L. Bajaj
26
32
0
03 Mar 2022
Wide and Narrow: Video Prediction from Context and Motion
Wide and Narrow: Video Prediction from Context and Motion
Jaehoon Cho
Jiyoung Lee
Changjae Oh
Wonil Song
K. Sohn
22
1
0
22 Oct 2021
LARNet: Latent Action Representation for Human Action Synthesis
LARNet: Latent Action Representation for Human Action Synthesis
Naman Biyani
A. J. Rana
Shruti Vyas
Y. S. Rawat
13
4
0
21 Oct 2021
Recurrent Neural Networks for Multivariate Time Series with Missing
  Values
Recurrent Neural Networks for Multivariate Time Series with Missing Values
Zhengping Che
S. Purushotham
Kyunghyun Cho
David Sontag
Yan Liu
AI4TS
210
1,897
0
06 Jun 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
233
7,904
0
13 Jun 2015
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