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Spatiotemporal Entropy Model is All You Need for Learned Video
  Compression

Spatiotemporal Entropy Model is All You Need for Learned Video Compression

13 April 2021
Zhenhong Sun
Zhiyu Tan
Xiuyu Sun
Fangyi Zhang
Dongyang Li
Yichen Qian
Hao Li
ArXiv (abs)PDFHTML

Papers citing "Spatiotemporal Entropy Model is All You Need for Learned Video Compression"

19 / 19 papers shown
Title
M-LVC: Multiple Frames Prediction for Learned Video Compression
M-LVC: Multiple Frames Prediction for Learned Video Compression
Jianping Lin
Dong Liu
Houqiang Li
Feng Wu
70
222
0
21 Apr 2020
Content Adaptive and Error Propagation Aware Deep Video Compression
Content Adaptive and Error Propagation Aware Deep Video Compression
Guo Lu
Chunlei Cai
Xiaoyun Zhang
Li Chen
Wanli Ouyang
Dong Xu
Zhiyong Gao
57
145
0
25 Mar 2020
Learning for Video Compression with Hierarchical Quality and Recurrent
  Enhancement
Learning for Video Compression with Hierarchical Quality and Recurrent Enhancement
Ren Yang
Fabian Mentzer
Luc Van Gool
Radu Timofte
53
207
0
04 Mar 2020
Learned Video Compression via Joint Spatial-Temporal Correlation
  Exploration
Learned Video Compression via Joint Spatial-Temporal Correlation Exploration
Haojie Liu
Han shen
Lichao Huang
Ming Lu
Tong Chen
Zhan Ma
49
57
0
13 Dec 2019
Variable Rate Deep Image Compression With a Conditional Autoencoder
Variable Rate Deep Image Compression With a Conditional Autoencoder
Yoojin Choi
Mostafa El-Khamy
Jungwon Lee
DRL
72
226
0
11 Sep 2019
Video Compression With Rate-Distortion Autoencoders
Video Compression With Rate-Distortion Autoencoders
A. Habibian
T. V. Rozendaal
Jakub M. Tomczak
Taco S. Cohen
VGen
62
202
0
14 Aug 2019
DVC: An End-to-end Deep Video Compression Framework
DVC: An End-to-end Deep Video Compression Framework
Guo Lu
Wanli Ouyang
Dong Xu
Xiaoyun Zhang
Chunlei Cai
Zhiyong Gao
VGen
90
659
0
30 Nov 2018
Joint Autoregressive and Hierarchical Priors for Learned Image
  Compression
Joint Autoregressive and Hierarchical Priors for Learned Image Compression
David C. Minnen
Johannes Ballé
G. Toderici
79
1,282
0
08 Sep 2018
Video Compression through Image Interpolation
Video Compression through Image Interpolation
Chao-Yuan Wu
Nayan Singhal
Philipp Krahenbuhl
VGen
86
322
0
18 Apr 2018
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume
Deqing Sun
Xiaodong Yang
Ming-Yuan Liu
Jan Kautz
3DPC
272
2,448
0
07 Sep 2017
Improved Lossy Image Compression with Priming and Spatially Adaptive Bit
  Rates for Recurrent Networks
Improved Lossy Image Compression with Priming and Spatially Adaptive Bit Rates for Recurrent Networks
Nick Johnston
Damien Vincent
David C. Minnen
Michele Covell
Saurabh Singh
Troy T. Chinen
S. Hwang
Joel Shor
G. Toderici
57
373
0
29 Mar 2017
Lossy Image Compression with Compressive Autoencoders
Lossy Image Compression with Compressive Autoencoders
Lucas Theis
Wenzhe Shi
Andrew Cunningham
Ferenc Huszár
64
1,056
0
01 Mar 2017
End-to-end Optimized Image Compression
End-to-end Optimized Image Compression
Johannes Ballé
Valero Laparra
Eero P. Simoncelli
DRL
109
1,713
0
05 Nov 2016
Optical Flow Estimation using a Spatial Pyramid Network
Optical Flow Estimation using a Spatial Pyramid Network
Anurag Ranjan
Michael J. Black
3DPC
115
1,220
0
03 Nov 2016
Full Resolution Image Compression with Recurrent Neural Networks
Full Resolution Image Compression with Recurrent Neural Networks
G. Toderici
Damien Vincent
Nick Johnston
S. Hwang
David C. Minnen
Joel Shor
Michele Covell
GAN
60
828
0
18 Aug 2016
Conditional Image Generation with PixelCNN Decoders
Conditional Image Generation with PixelCNN Decoders
Aaron van den Oord
Nal Kalchbrenner
Oriol Vinyals
L. Espeholt
Alex Graves
Koray Kavukcuoglu
VLM
214
2,517
0
16 Jun 2016
Variable Rate Image Compression with Recurrent Neural Networks
Variable Rate Image Compression with Recurrent Neural Networks
G. Toderici
Sean M. O'Malley
S. Hwang
Damien Vincent
David C. Minnen
S. Baluja
Michele Covell
Rahul Sukthankar
77
671
0
19 Nov 2015
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
568
8,007
0
13 Jun 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.1K
150,364
0
22 Dec 2014
1