Stochastic Latent Residual Video Prediction

21 February 2020

Papers citing "Stochastic Latent Residual Video Prediction"

50 / 73 papers shown

Title
Object-Centric Image to Video Generation with Language Guidance Angel Villar-Corrales Gjergj Plepi Sven Behnke DiffM VGen OCL 155 1 0 17 Feb 2025
Towards Real-Time Generation of Delay-Compensated Video Feeds for Outdoor Mobile Robot Teleoperation Neeloy Chakraborty Yixiao Fang Andre Schreiber Tianchen Ji Zhe Huang Aganze Mihigo Cassidy Wall Abdulrahman Almana Katherine Driggs-Campbell 63 0 0 16 Sep 2024
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 104 27 0 19 May 2023
Future Video Synthesis with Object Motion Prediction Yue Wu Rongrong Gao Jaesik Park Qifeng Chen 42 90 0 01 Apr 2020
Disentangling Physical Dynamics from Unknown Factors for Unsupervised Video Prediction Vincent Le Guen Nicolas Thome AI4CE PINN 141 289 0 03 Mar 2020
Exploring Spatial-Temporal Multi-Frequency Analysis for High-Fidelity and Temporal-Consistency Video Prediction Beibei Jin Yu Hu Qiankun Tang Jingyu Niu Zhiping Shi Yinhe Han Xiaowei Li 27 95 0 23 Feb 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 138 10,591 0 17 Feb 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 126 42,038 0 03 Dec 2019
High Fidelity Video Prediction with Large Stochastic Recurrent Neural Networks Ruben Villegas Arkanath Pathak Harini Kannan D. Erhan Quoc V. Le Honglak Lee VGen 24 137 0 05 Nov 2019
Unsupervised Learning of Object Structure and Dynamics from Videos Matthias Minderer Chen Sun Ruben Villegas Forrester Cole Kevin Patrick Murphy Honglak Lee 56 150 0 19 Jun 2019
Scaling Autoregressive Video Models Dirk Weissenborn Oscar Täckström Jakob Uszkoreit DiffM VGen 62 200 0 06 Jun 2019
Optimal Unsupervised Domain Translation Emmanuel de Bézenac Ibrahim Ayed Patrick Gallinari OT 13 19 0 04 Jun 2019
GRU-ODE-Bayes: Continuous modeling of sporadically-observed time series E. Brouwer Jaak Simm Adam Arany Yves Moreau SyDa CML AI4TS 68 292 0 29 May 2019
ODE $^2$ VAE: Deep generative second order ODEs with Bayesian neural networks Çağatay Yıldız Markus Heinonen Harri Lähdesmäki BDL DRL 43 88 0 27 May 2019
Improved Conditional VRNNs for Video Prediction Lluis Castrejon Nicolas Ballas Aaron Courville VGen DRL 102 161 0 27 Apr 2019
VideoFlow: A Conditional Flow-Based Model for Stochastic Video Generation Manoj Kumar Mohammad Babaeizadeh D. Erhan Chelsea Finn Sergey Levine Laurent Dinh Durk Kingma VGen 38 131 0 04 Mar 2019
Towards Accurate Generative Models of Video: A New Metric & Challenges Thomas Unterthiner Sjoerd van Steenkiste Karol Kurach Raphaël Marinier Marcin Michalski Sylvain Gelly EGVM VGen 47 711 0 03 Dec 2018
Disentangling Propagation and Generation for Video Prediction Hang Gao Huazhe Xu Qi-Zhi Cai Ruth Wang Feng Yu Trevor Darrell 35 84 0 02 Dec 2018
Learning Latent Dynamics for Planning from Pixels Danijar Hafner Timothy Lillicrap Ian S. Fischer Ruben Villegas David R Ha Honglak Lee James Davidson BDL 58 1,416 0 12 Nov 2018
End-to-end Structure-Aware Convolutional Networks for Knowledge Base Completion Mingmin Zhen Jinglu Wang Lei Zhou Jinbo Bi Tian Fang Long Quan GNN 49 588 0 11 Nov 2018
Invertible Residual Networks Jens Behrmann Will Grathwohl Ricky T. Q. Chen David Duvenaud J. Jacobsen UQCV TPM 67 621 0 02 Nov 2018
Video-to-Video Synthesis Ting-Chun Wang Ming-Yuan Liu Jun-Yan Zhu Guilin Liu Andrew Tao Jan Kautz Bryan Catanzaro GAN VGen 57 987 0 20 Aug 2018
Glow: Generative Flow with Invertible 1x1 Convolutions Diederik P. Kingma Prafulla Dhariwal BDL DRL 189 3,110 0 09 Jul 2018
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 193 5,024 0 19 Jun 2018
Hierarchical Long-term Video Prediction without Supervision Nevan Wichers Ruben Villegas D. Erhan Honglak Lee VGen 41 134 0 12 Jun 2018
Temporal Difference Variational Auto-Encoder Karol Gregor George Papamakarios F. Besse Lars Buesing Theophane Weber DRL 33 127 0 08 Jun 2018
Stochastic Adversarial Video Prediction Alex X. Lee Richard Y. Zhang F. Ebert Pieter Abbeel Chelsea Finn Sergey Levine DRL VGen GAN 41 450 0 04 Apr 2018
Probabilistic Video Generation using Holistic Attribute Control Jiawei He Andreas M. Lehrmann Joseph Marino Greg Mori Leonid Sigal VGen DiffM DRL 31 77 0 21 Mar 2018
Disentangled Sequential Autoencoder Yingzhen Li Stephan Mandt CoGe 58 270 0 08 Mar 2018
Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions Sjoerd van Steenkiste Michael Chang Klaus Greff Jürgen Schmidhuber BDL OCL DRL 117 290 0 28 Feb 2018
Stochastic Video Generation with a Learned Prior Emily L. Denton Rob Fergus VGen 63 525 0 21 Feb 2018
Black-box Variational Inference for Stochastic Differential Equations Tom Ryder Andrew Golightly A. Mcgough D. Prangle 54 57 0 09 Feb 2018
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric Richard Y. Zhang Phillip Isola Alexei A. Efros Eli Shechtman Oliver Wang EGVM 213 11,610 0 11 Jan 2018
Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation Huaizu Jiang Deqing Sun Varun Jampani Ming-Hsuan Yang Erik Learned-Miller Jan Kautz 79 785 0 30 Nov 2017
Stochastic Variational Video Prediction Mohammad Babaeizadeh Chelsea Finn D. Erhan R. Campbell Sergey Levine DRL VGen 51 540 0 30 Oct 2017
Beyond Finite Layer Neural Networks: Bridging Deep Architectures and Numerical Differential Equations Yiping Lu Aoxiao Zhong Quanzheng Li Bin Dong 124 495 0 27 Oct 2017
PDE-Net: Learning PDEs from Data Zichao Long Yiping Lu Xianzhong Ma Bin Dong DiffM AI4CE 17 750 0 26 Oct 2017
A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning Marco Fraccaro Simon Kamronn Ulrich Paquet Ole Winther BDL 41 282 0 16 Oct 2017
Self-Supervised Visual Planning with Temporal Skip Connections F. Ebert Chelsea Finn Alex X. Lee Sergey Levine SSL 57 318 0 15 Oct 2017
Mixed Precision Training Paulius Micikevicius Sharan Narang Jonah Alben G. Diamos Erich Elsen ... Boris Ginsburg Michael Houston Oleksii Kuchaiev Ganesh Venkatesh Hao Wu 116 1,779 0 10 Oct 2017
Dual Motion GAN for Future-Flow Embedded Video Prediction Xiaodan Liang Lisa Lee Wei-Ming Dai Eric Xing GAN 62 366 0 01 Aug 2017
MoCoGAN: Decomposing Motion and Content for Video Generation Sergey Tulyakov Ming-Yuan Liu Xiaodong Yang Jan Kautz GAN 104 1,138 0 17 Jul 2017
Decomposing Motion and Content for Natural Video Sequence Prediction Ruben Villegas Jimei Yang Seunghoon Hong Xunyu Lin Honglak Lee 37 595 0 25 Jun 2017
A simple neural network module for relational reasoning Adam Santoro David Raposo David Barrett Mateusz Malinowski Razvan Pascanu Peter W. Battaglia Timothy Lillicrap GNN NAI 98 1,610 0 05 Jun 2017
Unsupervised Learning of Disentangled Representations from Video Emily L. Denton Vighnesh Birodkar DRL CoGe OOD 54 552 0 31 May 2017
Deep Sets Manzil Zaheer Satwik Kottur Siamak Ravanbakhsh Barnabás Póczós Ruslan Salakhutdinov Alex Smola 183 2,441 0 10 Mar 2017
Video Frame Synthesis using Deep Voxel Flow Ziwei Liu Raymond A. Yeh Xiaoou Tang Yiming Liu A. Agarwala 58 747 0 08 Feb 2017
NIPS 2016 Tutorial: Generative Adversarial Networks Ian Goodfellow GAN 76 1,721 0 31 Dec 2016
Real-Time Video Super-Resolution with Spatio-Temporal Networks and Motion Compensation Jose Caballero C. Ledig Andrew P. Aitken Alejandro Acosta J. Totz Zehan Wang Wenzhe Shi SupR 80 661 0 16 Nov 2016
Video Pixel Networks Nal Kalchbrenner Aaron van den Oord Karen Simonyan Ivo Danihelka Oriol Vinyals Alex Graves Koray Kavukcuoglu 38 423 0 03 Oct 2016