CompressAI: a PyTorch library and evaluation platform for end-to-end compression research

5 November 2020

Papers citing "CompressAI: a PyTorch library and evaluation platform for end-to-end compression research"

9 / 59 papers shown

Title
DPICT: Deep Progressive Image Compression Using Trit-Planes Jae-Han Lee S. Jeon K. Choi Youngo Park Chang-Su Kim 21 29 0 12 Dec 2021
Compressing Sensor Data for Remote Assistance of Autonomous Vehicles using Deep Generative Models Daniel Bogdoll Johannes Jestram Jonas Rauch Christin Scheib Moritz Wittig J. Marius Zöllner 25 9 0 05 Nov 2021
Deep Contextual Video Compression Jiahao Li Bin Li Yan Lu 39 272 0 30 Sep 2021
Variable-Rate Deep Image Compression through Spatially-Adaptive Feature Transform Myung-Sin Song Jinyoung Choi Bohyung Han 31 90 0 21 Aug 2021
Supervised Compression for Resource-Constrained Edge Computing Systems Yoshitomo Matsubara Ruihan Yang Marco Levorato Stephan Mandt 19 56 0 21 Aug 2021
Learned Video Compression with Residual Prediction and Loop Filter Chao Liu Heming Sun J. Katto Xiaoyang Zeng Yibo Fan 15 5 0 19 Aug 2021
Enhanced Invertible Encoding for Learned Image Compression Yueqi Xie Ka Leong Cheng Qifeng Chen 46 189 0 08 Aug 2021
A Combined Deep Learning based End-to-End Video Coding Architecture for YUV Color Space Ankitesh K. Singh Hilmi E. Egilmez Reza Pourreza M. Coban M. Karczewicz Taco S. Cohen 3DV 20 2 0 01 Apr 2021
COIN: COmpression with Implicit Neural representations Emilien Dupont Adam Goliñski Milad Alizadeh Yee Whye Teh Arnaud Doucet 23 223 0 03 Mar 2021