Stochastic Variational Video Prediction

30 October 2017

Papers citing "Stochastic Variational Video Prediction"

20 / 120 papers shown

Title
Unsupervised Learning of Object Structure and Dynamics from Videos Matthias Minderer Chen Sun Ruben Villegas Forrester Cole Kevin Patrick Murphy Honglak Lee 19 149 0 19 Jun 2019
Improved Conditional VRNNs for Video Prediction Lluis Castrejon Nicolas Ballas Aaron Courville VGen DRL 15 161 0 27 Apr 2019
Keyframing the Future: Keyframe Discovery for Visual Prediction and Planning Karl Pertsch Oleh Rybkin Jingyun Yang Shenghao Zhou Konstantinos G. Derpanis Kostas Daniilidis Joseph J. Lim Andrew Jaegle VGen 42 24 0 11 Apr 2019
Point-to-Point Video Generation Tsun-Hsuan Wang Y. Cheng Chieh Hubert Lin Hwann-Tzong Chen Min Sun VGen DiffM 11 21 0 05 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 25 131 0 04 Mar 2019
A Neurally-Inspired Hierarchical Prediction Network for Spatiotemporal Sequence Learning and Prediction Jielin Qiu Ge Huang T. Lee 18 10 0 25 Jan 2019
Learning to Take Directions One Step at a Time Qiyang Hu Adrian Waelchli Tiziano Portenier Matthias Zwicker Paolo Favaro GAN VGen 14 12 0 05 Dec 2018
Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control F. Ebert Chelsea Finn Sudeep Dasari Annie Xie Alex X. Lee Sergey Levine SSL 24 377 0 03 Dec 2018
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 27 681 0 03 Dec 2018
A General Method for Amortizing Variational Filtering Joseph Marino Milan Cvitkovic Yisong Yue 16 34 0 13 Nov 2018
Deep Generative Video Compression Jun Han Salvator Lombardo Christopher Schroers Stephan Mandt VGen 29 58 0 05 Oct 2018
Bayesian Prediction of Future Street Scenes using Synthetic Likelihoods Apratim Bhattacharyya Mario Fritz Bernt Schiele UQCV 19 46 0 01 Oct 2018
MT-VAE: Learning Motion Transformations to Generate Multimodal Human Dynamics Xinchen Yan Akash Rastogi Ruben Villegas Kalyan Sunkavalli Eli Shechtman Sunil Hadap Ersin Yumer Honglak Lee 22 149 0 14 Aug 2018
Augmenting Physical Simulators with Stochastic Neural Networks: Case Study of Planar Pushing and Bouncing Anurag Ajay Jiajun Wu Nima Fazeli Maria Bauzá L. Kaelbling J. Tenenbaum Alberto Rodriguez 24 117 0 09 Aug 2018
Bayesian Prediction of Future Street Scenes through Importance Sampling based Optimization Apratim Bhattacharyya Mario Fritz Bernt Schiele UQCV BDL 21 2 0 18 Jun 2018
Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects Adam R. Kosiorek Hyunjik Kim Ingmar Posner Yee Whye Teh BDL 13 256 0 05 Jun 2018
A neural network trained to predict future video frames mimics critical properties of biological neuronal responses and perception William Lotter Gabriel Kreiman David D. Cox 27 31 0 28 May 2018
Stochastic Adversarial Video Prediction Alex X. Lee Richard Y. Zhang F. Ebert Pieter Abbeel Chelsea Finn Sergey Levine DRL VGen GAN 28 450 0 04 Apr 2018
Stochastic Video Generation with a Learned Prior Emily L. Denton Rob Fergus VGen 36 525 0 21 Feb 2018
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