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CANF-VC: Conditional Augmented Normalizing Flows for Video Compression

12 July 2022

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Papers citing "CANF-VC: Conditional Augmented Normalizing Flows for Video Compression"

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Title
CANeRV: Content Adaptive Neural Representation for Video Compression Lv Tang Jun Zhu Xinfeng Zhang Li Zhang Siwei Ma Qingming Huang 180 1 0 10 Feb 2025
Prediction and Reference Quality Adaptation for Learned Video Compression Xihua Sheng Li Li Dong Liu Houqiang Li 84 3 0 20 Jun 2024
Deep Contextual Video Compression Jiahao Li Bin Li Yan Lu 91 281 0 30 Sep 2021
ANFIC: Image Compression Using Augmented Normalizing Flows Yung-Han Ho Chih-Chun Chan Wen-Hsiao Peng Hsueh-Ming Hang Marek Domanski 59 46 0 18 Jul 2021
FVC: A New Framework towards Deep Video Compression in Feature Space Zhihao Hu Guo Lu Dong Xu 84 253 0 20 May 2021
ELF-VC: Efficient Learned Flexible-Rate Video Coding Oren Rippel Alexander G. Anderson Kedar Tatwawadi Sanjay Nair Craig Lytle Lubomir D. Bourdev 73 117 0 29 Apr 2021
CompressAI: a PyTorch library and evaluation platform for end-to-end compression research Jean Bégaint Fabien Racapé Simon Feltman Akshay Pushparaja VLM 66 428 0 05 Nov 2020
Improving Deep Video Compression by Resolution-adaptive Flow Coding Zhihao Hu Zhenghao Chen Dong Xu Guo Lu Wanli Ouyang S. O. O. ScienceTechnology 88 126 0 13 Sep 2020
Optical Flow and Mode Selection for Learning-based Video Coding Théo Ladune Pierrick Philippe W. Hamidouche Lu Zhang Olivier Déforges 40 41 0 06 Aug 2020
Neural Video Coding using Multiscale Motion Compensation and Spatiotemporal Context Model Haojie Liu Ming Lu Zhan Ma Fan Wang Zhihuang Xie Xun Cao Yao Wang 65 82 0 09 Jul 2020
Learning for Video Compression with Recurrent Auto-Encoder and Recurrent Probability Model Ren Yang Fabian Mentzer Luc Van Gool Radu Timofte 64 140 0 24 Jun 2020
M-LVC: Multiple Frames Prediction for Learned Video Compression Jianping Lin Dong Liu Houqiang Li Feng Wu 72 222 0 21 Apr 2020
Feedback Recurrent Autoencoder for Video Compression Adam Goliñski Reza Pourreza Yang Yang Guillaume Sautière Taco S. Cohen VGen 95 48 0 09 Apr 2020
Learning for Video Compression with Hierarchical Quality and Recurrent Enhancement Ren Yang Fabian Mentzer Luc Van Gool Radu Timofte 53 208 0 04 Mar 2020
Augmented Normalizing Flows: Bridging the Gap Between Generative Flows and Latent Variable Models Chin-Wei Huang Laurent Dinh Aaron Courville DRL 96 89 0 17 Feb 2020
Non-local Attention Optimized Deep Image Compression Haojie Liu Tong Chen Peiyao Guo Qiu Shen Xun Cao Yao Wang Zhan Ma 73 256 0 22 Apr 2019
DVC: An End-to-end Deep Video Compression Framework Guo Lu Wanli Ouyang Dong Xu Xiaoyun Zhang Chunlei Cai Zhiyong Gao VGen 90 660 0 30 Nov 2018
Joint Autoregressive and Hierarchical Priors for Learned Image Compression David C. Minnen Johannes Ballé G. Toderici 84 1,282 0 08 Sep 2018
Glow: Generative Flow with Invertible 1x1 Convolutions Diederik P. Kingma Prafulla Dhariwal BDL DRL 305 3,144 0 09 Jul 2018
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume Deqing Sun Xiaodong Yang Ming-Yuan Liu Jan Kautz 3DPC 272 2,450 0 07 Sep 2017
End-to-end Optimized Image Compression Johannes Ballé Valero Laparra Eero P. Simoncelli DRL 125 1,716 0 05 Nov 2016
Optical Flow Estimation using a Spatial Pyramid Network Anurag Ranjan Michael J. Black 3DPC 122 1,221 0 03 Nov 2016
Faster Eigenvector Computation via Shift-and-Invert Preconditioning Dan Garber Laurent Dinh Chi Jin Jascha Narain Sohl-Dickstein Samy Bengio Praneeth Netrapalli Aaron Sidford 277 3,722 0 26 May 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,364 0 22 Dec 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 458 16,922 0 20 Dec 2013