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Variable Rate Image Compression with Recurrent Neural Networks

Variable Rate Image Compression with Recurrent Neural Networks

19 November 2015
G. Toderici
Sean M. O'Malley
S. Hwang
Damien Vincent
David C. Minnen
S. Baluja
Michele Covell
Rahul Sukthankar
ArXivPDFHTML

Papers citing "Variable Rate Image Compression with Recurrent Neural Networks"

50 / 85 papers shown
Title
LimitNet: Progressive, Content-Aware Image Offloading for Extremely Weak Devices & Networks
LimitNet: Progressive, Content-Aware Image Offloading for Extremely Weak Devices & Networks
A. Hojjat
Janek Haberer
Tayyaba Zainab
Olaf Landsiedel
39
3
0
18 Apr 2025
The JPEG Pleno Learning-based Point Cloud Coding Standard: Serving Man and Machine
The JPEG Pleno Learning-based Point Cloud Coding Standard: Serving Man and Machine
André F. R. Guarda
Nuno M. M. Rodrigues
Fernando Pereira
3DV
42
2
0
13 Mar 2025
CANeRV: Content Adaptive Neural Representation for Video Compression
CANeRV: Content Adaptive Neural Representation for Video Compression
Lv Tang
Jun Zhu
Xinfeng Zhang
Li Zhang
Siwei Ma
Qingming Huang
72
1
0
10 Feb 2025
Efficient Progressive Image Compression with Variance-aware Masking
Efficient Progressive Image Compression with Variance-aware Masking
Alberto Presta
Enzo Tartaglione
A. Fiandrotti
Marco Grangetto
Pamela Cosman
34
0
0
15 Nov 2024
Enhancing Learned Image Compression via Cross Window-based Attention
Enhancing Learned Image Compression via Cross Window-based Attention
Priyanka Mudgal
Feng Liu
27
0
0
28 Oct 2024
AICT: An Adaptive Image Compression Transformer
AICT: An Adaptive Image Compression Transformer
Ahmed Ghorbel
W. Hamidouche
L. Morin
ViT
34
5
0
12 Jul 2023
LLIC: Large Receptive Field Transform Coding with Adaptive Weights for
  Learned Image Compression
LLIC: Large Receptive Field Transform Coding with Adaptive Weights for Learned Image Compression
Wei Jiang
Peirong Ning
Jiayu Yang
Yongqi Zhai
Feng Gao
Ronggang Wang
38
6
0
19 Apr 2023
Compression of GPS Trajectories using Autoencoders
Compression of GPS Trajectories using Autoencoders
Michael Kölle
Steffen Illium
Carsten Hahn
Lorenz Schauer
Johannes Hutter
Claudia Linnhoff-Popien
28
1
0
18 Jan 2023
Content Adaptive Latents and Decoder for Neural Image Compression
Content Adaptive Latents and Decoder for Neural Image Compression
Guanbo Pan
Guo Lu
Zhihao Hu
Dong Xu
36
22
0
20 Dec 2022
MLIC: Multi-Reference Entropy Model for Learned Image Compression
MLIC: Multi-Reference Entropy Model for Learned Image Compression
Wei Jiang
Jiayu Yang
Yongqi Zhai
Peirong Ning
Feng Gao
Ronggang Wang
30
76
0
14 Nov 2022
Advancing Learned Video Compression with In-loop Frame Prediction
Advancing Learned Video Compression with In-loop Frame Prediction
Ren Yang
Radu Timofte
Luc Van Gool
21
26
0
13 Nov 2022
Attention-Based Generative Neural Image Compression on Solar Dynamics
  Observatory
Attention-Based Generative Neural Image Compression on Solar Dynamics Observatory
Ali Zafari
Atefeh Khoshkhahtinat
P. Mehta
Nasser M. Nasrabadi
B. Thompson
D. D. Silva
M. Kirk
13
9
0
12 Oct 2022
Flexible Neural Image Compression via Code Editing
Flexible Neural Image Compression via Code Editing
Chenjian Gao
Tongda Xu
Dailan He
Hongwei Qin
Yan Wang
46
24
0
19 Sep 2022
Deep Lossy Plus Residual Coding for Lossless and Near-lossless Image
  Compression
Deep Lossy Plus Residual Coding for Lossless and Near-lossless Image Compression
Yuanchao Bai
Xianming Liu
Kai Wang
Xiangyang Ji
Xiaoling Wu
Wen Gao
29
22
0
11 Sep 2022
Learned Image Compression with Generalized Octave Convolution and
  Cross-Resolution Parameter Estimation
Learned Image Compression with Generalized Octave Convolution and Cross-Resolution Parameter Estimation
H. Fu
Feng Liang
16
16
0
07 Sep 2022
Learned Lossless Image Compression With Combined Autoregressive Models
  And Attention Modules
Learned Lossless Image Compression With Combined Autoregressive Models And Attention Modules
Ran Wang
Jinming Liu
Heming Sun
J. Katto
31
0
0
30 Aug 2022
A Low-Complexity Approach to Rate-Distortion Optimized Variable Bit-Rate
  Compression for Split DNN Computing
A Low-Complexity Approach to Rate-Distortion Optimized Variable Bit-Rate Compression for Split DNN Computing
Parual Datta
Nilesh A. Ahuja
V. Somayazulu
Omesh Tickoo
19
13
0
24 Aug 2022
Towards Semantic Communications: Deep Learning-Based Image Semantic
  Coding
Towards Semantic Communications: Deep Learning-Based Image Semantic Coding
Danlan Huang
F. Gao
Xiaoming Tao
Qiyuan Du
Jianhua Lu
20
152
0
08 Aug 2022
Optimizing Image Compression via Joint Learning with Denoising
Optimizing Image Compression via Joint Learning with Denoising
Ka Leong Cheng
Yueqi Xie
Qifeng Chen
60
15
0
22 Jul 2022
Beyond Transmitting Bits: Context, Semantics, and Task-Oriented
  Communications
Beyond Transmitting Bits: Context, Semantics, and Task-Oriented Communications
Deniz Gunduz
Zhijin Qin
Iñaki Estella Aguerri
Harpreet S. Dhillon
Zhaohui Yang
Aylin Yener
Kai‐Kit Wong
C. Chae
27
432
0
19 Jul 2022
Image Coding for Machines with Omnipotent Feature Learning
Image Coding for Machines with Omnipotent Feature Learning
Ruoyu Feng
Xin Jin
Zongyu Guo
Runsen Feng
Yixin Gao
Tianyu He
Zhizheng Zhang
Simeng Sun
Zhibo Chen
VLM
34
36
0
05 Jul 2022
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
92
0
15 Jun 2022
CAESR: Conditional Autoencoder and Super-Resolution for Learned Spatial
  Scalability
CAESR: Conditional Autoencoder and Super-Resolution for Learned Spatial Scalability
Charles Bonnineau
W. Hamidouche
J. Travers
N. Sidaty
Jean-Yves Aubié
Olivier Déforges
25
2
0
01 Feb 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
29
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
DeepFGS: Fine-Grained Scalable Coding for Learned Image Compression
DeepFGS: Fine-Grained Scalable Coding for Learned Image Compression
Yi Ma
Yongqi Zhai
Ronggang Wang
34
11
0
04 Jan 2022
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
33
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
30
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
18
29
0
12 Dec 2021
LVAC: Learned Volumetric Attribute Compression for Point Clouds using
  Coordinate Based Networks
LVAC: Learned Volumetric Attribute Compression for Point Clouds using Coordinate Based Networks
Berivan Isik
P. Chou
S. Hwang
Nick Johnston
G. Toderici
3DPC
31
28
0
17 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
Deep Contextual Video Compression
Deep Contextual Video Compression
Jiahao Li
Bin Li
Yan Lu
36
272
0
30 Sep 2021
End-to-End Image Compression with Probabilistic Decoding
End-to-End Image Compression with Probabilistic Decoding
Haichuan Ma
Dong Liu
Cunhui Dong
Li Li
Feng Wu
19
1
0
30 Sep 2021
Perceptual Learned Video Compression with Recurrent Conditional GAN
Perceptual Learned Video Compression with Recurrent Conditional GAN
Ren Yang
Radu Timofte
Luc Van Gool
22
31
0
07 Sep 2021
Enhanced Invertible Encoding for Learned Image Compression
Enhanced Invertible Encoding for Learned Image Compression
Yueqi Xie
Ka Leong Cheng
Qifeng Chen
41
189
0
08 Aug 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
ELF-VC: Efficient Learned Flexible-Rate Video Coding
ELF-VC: Efficient Learned Flexible-Rate Video Coding
Oren Rippel
Alexander G. Anderson
Kedar Tatwawadi
Sanjay Nair
Craig Lytle
Lubomir D. Bourdev
41
115
0
29 Apr 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
CLVSA: A Convolutional LSTM Based Variational Sequence-to-Sequence Model
  with Attention for Predicting Trends of Financial Markets
CLVSA: A Convolutional LSTM Based Variational Sequence-to-Sequence Model with Attention for Predicting Trends of Financial Markets
Jia Wang
Tong Sun
Benyuan Liu
Yu Cao
Hongwei Zhu
AI4TS
21
63
0
08 Apr 2021
Extending Neural P-frame Codecs for B-frame Coding
Extending Neural P-frame Codecs for B-frame Coding
Reza Pourreza
Taco S. Cohen
46
48
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
Learned Block-based Hybrid Image Compression
Learned Block-based Hybrid Image Compression
Yaojun Wu
Xin Li
Zhizheng Zhang
Xin Jin
Zhibo Chen
12
56
0
17 Dec 2020
Learning to Compress Videos without Computing Motion
Learning to Compress Videos without Computing Motion
Meixu Chen
T. Goodall
Anjul Patney
A. Bovik
12
9
0
29 Sep 2020
Bandwidth-Agile Image Transmission with Deep Joint Source-Channel Coding
Bandwidth-Agile Image Transmission with Deep Joint Source-Channel Coding
David Burth Kurka
Deniz Gündüz
8
119
0
26 Sep 2020
Improving Deep Video Compression by Resolution-adaptive Flow Coding
Improving Deep Video Compression by Resolution-adaptive Flow Coding
Zhihao Hu
Zhenghao Chen
Dong Xu
Guo Lu
Wanli Ouyang
S. O. O. ScienceTechnology
36
123
0
13 Sep 2020
Channel-Level Variable Quantization Network for Deep Image Compression
Channel-Level Variable Quantization Network for Deep Image Compression
Zhisheng Zhong
Hiroaki Akutsu
Kiyoharu Aizawa
19
20
0
15 Jul 2020
Learning for Video Compression with Recurrent Auto-Encoder and Recurrent
  Probability Model
Learning for Video Compression with Recurrent Auto-Encoder and Recurrent Probability Model
Ren Yang
Fabian Mentzer
Luc Van Gool
Radu Timofte
18
138
0
24 Jun 2020
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