Releasing the Parameter Latency of Neural Representation for
High-Efficiency Video Compression

Releasing the Parameter Latency of Neural Representation for High-Efficiency Video Compression

2 October 2024

Xinfeng Zhang

Lv Tang

Yue Li

Kai Zhang

Li Zhang

Papers citing "Releasing the Parameter Latency of Neural Representation for High-Efficiency Video Compression"

11 / 11 papers shown

Title
DNeRV: Modeling Inherent Dynamics via Difference Neural Representation for Videos Qi Zhao M. Salman Asif Zhan Ma 51 32 0 13 Apr 2023
FFNeRV: Flow-Guided Frame-Wise Neural Representations for Videos J. Lee Daniel Rho J. Ko Eunbyung Park 43 43 0 23 Dec 2022
E-NeRV: Expedite Neural Video Representation with Disentangled Spatial-Temporal Context Zizhang Li Mengmeng Wang Huaijin Pi Kechun Xu Jianbiao Mei Yong Liu 66 71 0 17 Jul 2022
Hybrid Spatial-Temporal Entropy Modelling for Neural Video Compression Jiahao Li Bin Li Yan Lu 81 154 0 13 Jul 2022
NeRV: Neural Representations for Videos Hao Chen Bo He Hanyu Wang Yixuan Ren Ser-Nam Lim Abhinav Shrivastava 47 245 0 26 Oct 2021
FVC: A New Framework towards Deep Video Compression in Feature Space Zhihao Hu Guo Lu Dong Xu 65 250 0 20 May 2021
Improving Deep Video Compression by Resolution-adaptive Flow Coding Zhihao Hu Zhenghao Chen Dong Xu Guo Lu Wanli Ouyang S. O. O. ScienceTechnology 70 124 0 13 Sep 2020
M-LVC: Multiple Frames Prediction for Learned Video Compression Jianping Lin Dong Liu Houqiang Li Feng Wu 57 217 0 21 Apr 2020
Learning for Video Compression with Hierarchical Quality and Recurrent Enhancement Ren Yang Fabian Mentzer Luc Van Gool Radu Timofte 45 204 0 04 Mar 2020
SGDR: Stochastic Gradient Descent with Warm Restarts I. Loshchilov Frank Hutter ODL 250 8,030 0 13 Aug 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.2K 149,474 0 22 Dec 2014