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2410.21144
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Enhancing Learned Image Compression via Cross Window-based Attention
28 October 2024
Priyanka Mudgal
Feng Liu
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Papers citing
"Enhancing Learned Image Compression via Cross Window-based Attention"
24 / 24 papers shown
Title
Learned Image Compression with Mixed Transformer-CNN Architectures
Jinming Liu
Heming Sun
J. Katto
73
234
0
27 Mar 2023
Lossy Compression with Gaussian Diffusion
Lucas Theis
Tim Salimans
Matthew D. Hoffman
Fabian Mentzer
DiffM
73
80
0
17 Jun 2022
The Devil Is in the Details: Window-based Attention for Image Compression
Renjie Zou
Chunfeng Song
Zhaoxiang Zhang
ViT
32
215
0
16 Mar 2022
Video Frame Interpolation Transformer
Zhihao Shi
Xiangyu Xu
Xiaohong Liu
Jun Chen
Ming-Hsuan Yang
ViT
44
165
0
27 Nov 2021
Enhanced Invertible Encoding for Learned Image Compression
Yueqi Xie
Ka Leong Cheng
Qifeng Chen
66
189
0
08 Aug 2021
CompressAI: a PyTorch library and evaluation platform for end-to-end compression research
Jean Bégaint
Fabien Racapé
Simon Feltman
Akshay Pushparaja
VLM
56
425
0
05 Nov 2020
Channel-wise Autoregressive Entropy Models for Learned Image Compression
David C. Minnen
Saurabh Singh
65
409
0
17 Jul 2020
High-Fidelity Generative Image Compression
Fabian Mentzer
G. Toderici
Michael Tschannen
E. Agustsson
83
470
0
17 Jun 2020
Decision-Making with Auto-Encoding Variational Bayes
Romain Lopez
Pierre Boyeau
Nir Yosef
Michael I. Jordan
Jeffrey Regier
BDL
346
10,591
0
17 Feb 2020
A Unified End-to-End Framework for Efficient Deep Image Compression
Jiaheng Liu
Guo Lu
Zhihao Hu
Dong Xu
91
107
0
09 Feb 2020
Residual Non-local Attention Networks for Image Restoration
Yulun Zhang
Kunpeng Li
Kai Li
Bineng Zhong
Y. Fu
SupR
62
673
0
24 Mar 2019
Joint Autoregressive and Hierarchical Priors for Learned Image Compression
David C. Minnen
Johannes Ballé
G. Toderici
67
1,269
0
08 Sep 2018
Conditional Probability Models for Deep Image Compression
Fabian Mentzer
E. Agustsson
Michael Tschannen
Radu Timofte
Luc Van Gool
67
487
0
12 Jan 2018
Real-Time Adaptive Image Compression
Oren Rippel
Lubomir D. Bourdev
49
561
0
16 May 2017
Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations
E. Agustsson
Fabian Mentzer
Michael Tschannen
Lukas Cavigelli
Radu Timofte
Luca Benini
Luc Van Gool
MQ
66
482
0
03 Apr 2017
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
43
373
0
29 Mar 2017
Generative Compression
Shibani Santurkar
David Budden
Nir Shavit
VGen
DiffM
GAN
98
189
0
04 Mar 2017
Lossy Image Compression with Compressive Autoencoders
Lucas Theis
Wenzhe Shi
Andrew Cunningham
Ferenc Huszár
62
1,054
0
01 Mar 2017
End-to-end Optimized Image Compression
Johannes Ballé
Valero Laparra
Eero P. Simoncelli
DRL
77
1,705
0
05 Nov 2016
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
725
36,708
0
25 Aug 2016
Full Resolution Image Compression with Recurrent Neural Networks
G. Toderici
Damien Vincent
Nick Johnston
S. Hwang
David C. Minnen
Joel Shor
Michele Covell
GAN
51
828
0
18 Aug 2016
End-to-end optimization of nonlinear transform codes for perceptual quality
Johannes Ballé
Valero Laparra
Eero P. Simoncelli
95
244
0
18 Jul 2016
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
69
671
0
19 Nov 2015
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.6K
149,842
0
22 Dec 2014
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