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Lossy Image Compression with Compressive Autoencoders

Lossy Image Compression with Compressive Autoencoders

1 March 2017
Lucas Theis
Wenzhe Shi
Andrew Cunningham
Ferenc Huszár
ArXivPDFHTML

Papers citing "Lossy Image Compression with Compressive Autoencoders"

50 / 174 papers shown
Title
Coarse-to-fine Deep Video Coding with Hyperprior-guided Mode Prediction
Coarse-to-fine Deep Video Coding with Hyperprior-guided Mode Prediction
Zhihao Hu
Guo Lu
Jinyang Guo
Shan Liu
Wei Jiang
Dong Xu
25
93
0
15 Jun 2022
Triangular Dropout: Variable Network Width without Retraining
Triangular Dropout: Variable Network Width without Retraining
Edward W. Staley
Jared Markowitz
33
2
0
02 May 2022
SoFaiR: Single Shot Fair Representation Learning
SoFaiR: Single Shot Fair Representation Learning
Xavier Gitiaux
Huzefa Rangwala
34
4
0
26 Apr 2022
Estimating the Resize Parameter in End-to-end Learned Image Compression
Estimating the Resize Parameter in End-to-end Learned Image Compression
Li-Heng Chen
C. Bampis
Zhi Li
Lukávs Krasula
A. Bovik
24
4
0
26 Apr 2022
Learning Instance-Specific Adaptation for Cross-Domain Segmentation
Learning Instance-Specific Adaptation for Cross-Domain Segmentation
Yuliang Zou
Zizhao Zhang
Chun-Liang Li
Han Zhang
Tomas Pfister
Jia-Bin Huang
TTA
OOD
38
14
0
30 Mar 2022
A Wasserstein GAN for Joint Learning of Inpainting and Spatial
  Optimisation
A Wasserstein GAN for Joint Learning of Inpainting and Spatial Optimisation
Pascal Peter
GAN
13
3
0
11 Feb 2022
Reducing Redundancy in the Bottleneck Representation of the Autoencoders
Reducing Redundancy in the Bottleneck Representation of the Autoencoders
Firas Laakom
Jenni Raitoharju
Alexandros Iosifidis
Moncef Gabbouj
35
10
0
09 Feb 2022
Recognition-Aware Learned Image Compression
Recognition-Aware Learned Image Compression
Maxime Kawawa-Beaudan
Ryan Roggenkemper
A. Zakhor
31
5
0
01 Feb 2022
COIN++: Neural Compression Across Modalities
COIN++: Neural Compression Across Modalities
Emilien Dupont
H. Loya
Milad Alizadeh
Adam Goliñski
Yee Whye Teh
Arnaud Doucet
63
83
0
30 Jan 2022
Scale-arbitrary Invertible Image Downscaling
Scale-arbitrary Invertible Image Downscaling
Jinbo Xing
Wenbo Hu
T. Wong
36
12
0
29 Jan 2022
Neural JPEG: End-to-End Image Compression Leveraging a Standard JPEG
  Encoder-Decoder
Neural JPEG: End-to-End Image Compression Leveraging a Standard JPEG Encoder-Decoder
A. Mali
Alexander Ororbia
Daniel Kifer
C. Lee Giles
30
9
0
27 Jan 2022
An Empirical Analysis of Recurrent Learning Algorithms In Neural Lossy
  Image Compression Systems
An Empirical Analysis of Recurrent Learning Algorithms In Neural Lossy Image Compression Systems
A. Mali
Alexander Ororbia
Daniel Kifer
L. Giles
19
4
0
27 Jan 2022
Learning-Driven Lossy Image Compression; A Comprehensive Survey
Learning-Driven Lossy Image Compression; A Comprehensive Survey
Sonain Jamil
Md. Jalil Piran
Muhibur Rahman
39
36
0
23 Jan 2022
Improving Performance of Semantic Segmentation CycleGANs by Noise
  Injection into the Latent Segmentation Space
Improving Performance of Semantic Segmentation CycleGANs by Noise Injection into the Latent Segmentation Space
Jonas Löhdefink
Tim Fingscheidt
26
2
0
17 Jan 2022
UDC: Unified DNAS for Compressible TinyML Models
UDC: Unified DNAS for Compressible TinyML Models
Igor Fedorov
Ramon Matas
Hokchhay Tann
Chu Zhou
Matthew Mattina
P. Whatmough
AI4CE
23
13
0
15 Jan 2022
Linear Variational State-Space Filtering
Linear Variational State-Space Filtering
Daniel Pfrommer
Nikolai Matni
30
1
0
04 Jan 2022
DeepFGS: Fine-Grained Scalable Coding for Learned Image Compression
DeepFGS: Fine-Grained Scalable Coding for Learned Image Compression
Yi Ma
Yongqi Zhai
Ronggang Wang
39
11
0
04 Jan 2022
Optimal Representations for Covariate Shift
Optimal Representations for Covariate Shift
Yangjun Ruan
Yann Dubois
Chris J. Maddison
OOD
28
68
0
31 Dec 2021
Semantic Communications: Principles and Challenges
Semantic Communications: Principles and Challenges
Zhijin Qin
Xiaoming Tao
Jianhua Lu
Wen Tong
Geoffrey Ye Li
33
338
0
30 Dec 2021
Implicit Neural Video Compression
Implicit Neural Video Compression
Yunfan Zhang
T. V. Rozendaal
Johann Brehmer
Markus Nagel
Taco S. Cohen
49
57
0
21 Dec 2021
A New Image Codec Paradigm for Human and Machine Uses
A New Image Codec Paradigm for Human and Machine Uses
Sien Chen
Jian Jin
Lili Meng
Weisi Lin
Zhuo Chen
Tsui-Shan Chang
Zhen Li
Huaxiang Zhang
35
6
0
19 Dec 2021
Towards End-to-End Image Compression and Analysis with Transformers
Towards End-to-End Image Compression and Analysis with Transformers
Yuanchao Bai
Xu Yang
Xianming Liu
Junjun Jiang
Yaowei Wang
Xiangyang Ji
Wen Gao
ViT
31
51
0
17 Dec 2021
LC-FDNet: Learned Lossless Image Compression with Frequency
  Decomposition Network
LC-FDNet: Learned Lossless Image Compression with Frequency Decomposition Network
Hochang Rhee
Y. Jang
Seyun Kim
N. Cho
32
29
0
13 Dec 2021
DPICT: Deep Progressive Image Compression Using Trit-Planes
DPICT: Deep Progressive Image Compression Using Trit-Planes
Jae-Han Lee
S. Jeon
K. Choi
Youngo Park
Chang-Su Kim
29
29
0
12 Dec 2021
Joint Global and Local Hierarchical Priors for Learned Image Compression
Joint Global and Local Hierarchical Priors for Learned Image Compression
Jun-Hyuk Kim
Byeongho Heo
Jong-Seok Lee
39
82
0
08 Dec 2021
Towards Empirical Sandwich Bounds on the Rate-Distortion Function
Towards Empirical Sandwich Bounds on the Rate-Distortion Function
Yibo Yang
Stephan Mandt
30
24
0
23 Nov 2021
Compressing Sensor Data for Remote Assistance of Autonomous Vehicles
  using Deep Generative Models
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
SZ3: A Modular Framework for Composing Prediction-Based Error-Bounded
  Lossy Compressors
SZ3: A Modular Framework for Composing Prediction-Based Error-Bounded Lossy Compressors
Xin Liang
Kai Zhao
Sheng Di
Sihuan Li
Robert Underwood
...
Junjing Deng
Jon C. Calhoun
Dingwen Tao
Zizhong Chen
Franck Cappello
19
96
0
04 Nov 2021
Out-of-Distribution Robustness in Deep Learning Compression
Out-of-Distribution Robustness in Deep Learning Compression
Eric Lei
Hamed Hassani
Shirin Saeedi Bidokhti
OOD
OODD
11
5
0
13 Oct 2021
Lossy compression of statistical data using quantum annealer
Lossy compression of statistical data using quantum annealer
B. Yoon
N. T. Nguyen
Chia-Cheng Chang
E. Rrapaj
19
8
0
05 Oct 2021
Deep Contextual Video Compression
Deep Contextual Video Compression
Jiahao Li
Bin Li
Yan Lu
50
275
0
30 Sep 2021
IICNet: A Generic Framework for Reversible Image Conversion
IICNet: A Generic Framework for Reversible Image Conversion
Ka Leong Cheng
Yueqi Xie
Qifeng Chen
48
24
0
09 Sep 2021
Lossy Medical Image Compression using Residual Learning-based Dual
  Autoencoder Model
Lossy Medical Image Compression using Residual Learning-based Dual Autoencoder Model
Dipti Mishra
S. Singh
R. Singh
MedIm
21
8
0
24 Aug 2021
Supervised Compression for Resource-Constrained Edge Computing Systems
Supervised Compression for Resource-Constrained Edge Computing Systems
Yoshitomo Matsubara
Ruihan Yang
Marco Levorato
Stephan Mandt
19
58
0
21 Aug 2021
Enhanced Invertible Encoding for Learned Image Compression
Enhanced Invertible Encoding for Learned Image Compression
Yueqi Xie
Ka Leong Cheng
Qifeng Chen
52
189
0
08 Aug 2021
Insights from Generative Modeling for Neural Video Compression
Insights from Generative Modeling for Neural Video Compression
Ruihan Yang
Yibo Yang
Joseph Marino
Stephan Mandt
VGen
35
16
0
28 Jul 2021
Semi-supervised 3D Hand-Object Pose Estimation via Pose Dictionary
  Learning
Semi-supervised 3D Hand-Object Pose Estimation via Pose Dictionary Learning
Zida Cheng
Siheng Chen
Ya Zhang
3DH
27
5
0
16 Jul 2021
Pragmatic Image Compression for Human-in-the-Loop Decision-Making
Pragmatic Image Compression for Human-in-the-Loop Decision-Making
S. Reddy
Anca Dragan
Sergey Levine
OffRL
44
13
0
07 Jul 2021
Rate Distortion Characteristic Modeling for Neural Image Compression
Rate Distortion Characteristic Modeling for Neural Image Compression
Chuanmin Jia
Ziqing Ge
Shanshe Wang
Siwei Ma
Wen Gao
24
13
0
24 Jun 2021
Fair Representations by Compression
Fair Representations by Compression
Xavier Gitiaux
Huzefa Rangwala
FaML
30
14
0
28 May 2021
Self-Organized Variational Autoencoders (Self-VAE) for Learned Image
  Compression
Self-Organized Variational Autoencoders (Self-VAE) for Learned Image Compression
M. Yilmaz
Onur Keleş
Hilal Güven
A. Murat Tekalp
Junaid Malik
S. Kiranyaz
DRL
27
15
0
25 May 2021
Exploring Autoencoder-based Error-bounded Compression for Scientific
  Data
Exploring Autoencoder-based Error-bounded Compression for Scientific Data
Jinyang Liu
Sheng Di
Kai Zhao
Sian Jin
Dingwen Tao
Xin Liang
Zizhong Chen
Franck Cappello
22
49
0
25 May 2021
Deep Learning-based Implicit CSI Feedback in Massive MIMO
Deep Learning-based Implicit CSI Feedback in Massive MIMO
Muhan Chen
Jiajia Guo
Chao-Kai Wen
Shi Jin
Geoffrey Ye Li
Ang Yang
37
62
0
21 May 2021
Spatiotemporal Entropy Model is All You Need for Learned Video
  Compression
Spatiotemporal Entropy Model is All You Need for Learned Video Compression
Zhenhong Sun
Zhiyu Tan
Xiuyu Sun
Fangyi Zhang
Dongyang Li
Yichen Qian
Hao Li
27
10
0
13 Apr 2021
Deep learning-based Edge-aware pre and post-processing methods for JPEG
  compressed images
Deep learning-based Edge-aware pre and post-processing methods for JPEG compressed images
Dipti Mishra
S. Singh
R. Singh
26
1
0
11 Apr 2021
Automated Cleanup of the ImageNet Dataset by Model Consensus,
  Explainability and Confident Learning
Automated Cleanup of the ImageNet Dataset by Model Consensus, Explainability and Confident Learning
Csaba Kertész
VLM
SSL
28
45
0
30 Mar 2021
Slimmable Compressive Autoencoders for Practical Neural Image
  Compression
Slimmable Compressive Autoencoders for Practical Neural Image Compression
Feiyu Yang
Luis Herranz
Yongmei Cheng
M. Mozerov
31
65
0
29 Mar 2021
Checkerboard Context Model for Efficient Learned Image Compression
Checkerboard Context Model for Efficient Learned Image Compression
Dailan He
Yaoyan Zheng
Baochen Sun
Yan Wang
Hongwei Qin
35
278
0
29 Mar 2021
Attention-based Convolutional Autoencoders for 3D-Variational Data
  Assimilation
Attention-based Convolutional Autoencoders for 3D-Variational Data Assimilation
Julian Mack
Rossella Arcucci
Miguel Molina-Solana
Yi-Ke Guo
3DPC
50
34
0
06 Jan 2021
Hierarchical Autoregressive Modeling for Neural Video Compression
Hierarchical Autoregressive Modeling for Neural Video Compression
Ruihan Yang
Yibo Yang
Joseph Marino
Stephan Mandt
BDL
VGen
112
46
0
19 Oct 2020
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