ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1608.05148
  4. Cited By
Full Resolution Image Compression with Recurrent Neural Networks

Full Resolution Image Compression with Recurrent Neural Networks

18 August 2016
G. Toderici
Damien Vincent
Nick Johnston
S. Hwang
David C. Minnen
Joel Shor
Michele Covell
    GAN
ArXivPDFHTML

Papers citing "Full Resolution Image Compression with Recurrent Neural Networks"

50 / 175 papers shown
Title
Gone With the Bits: Revealing Racial Bias in Low-Rate Neural Compression for Facial Images
Gone With the Bits: Revealing Racial Bias in Low-Rate Neural Compression for Facial Images
Tian Qiu
Arjun Nichani
Rasta Tadayontahmasebi
Haewon Jeong
29
0
0
05 May 2025
Detection Based Part-level Articulated Object Reconstruction from Single RGBD Image
Detection Based Part-level Articulated Object Reconstruction from Single RGBD Image
Yuki Kawana
Tatsuya Harada
43
0
0
04 Apr 2025
Bitstream Collisions in Neural Image Compression via Adversarial Perturbations
Bitstream Collisions in Neural Image Compression via Adversarial Perturbations
Jordan Madden
Lhamo Dorje
Xiaohua Li
AAML
40
0
0
25 Mar 2025
UAR-NVC: A Unified AutoRegressive Framework for Memory-Efficient Neural Video Compression
J. Wang
X. Zhang
Gai Zhang
Jun Zhu
Lv Tang
Li Zhang
58
1
0
04 Mar 2025
Lossy Neural Compression for Geospatial Analytics: A Review
Carlos Gomes
Isabelle Wittmann
Damien Robert
Johannes Jakubik
Tim Reichelt
...
Romeo Kienzler
Rania Briq
Sabrina Benassou
Michele Lazzarini
C. Albrecht
88
2
0
03 Mar 2025
Continuous Patch Stitching for Block-wise Image Compression
Continuous Patch Stitching for Block-wise Image Compression
Zifu Zhang
Shengxi Li
Henan Liu
Mai Xu
Ce Zhu
36
0
0
24 Feb 2025
Interleaved Block-based Learned Image Compression with Feature Enhancement and Quantization Error Compensation
Interleaved Block-based Learned Image Compression with Feature Enhancement and Quantization Error Compensation
Shiqi Jiang
Hui Yuan
Shuai Li
R. Hamzaoui
Xu Wang
Junyan Huo
48
0
0
24 Feb 2025
Conditional Latent Coding with Learnable Synthesized Reference for Deep Image Compression
Conditional Latent Coding with Learnable Synthesized Reference for Deep Image Compression
Siqi Wu
Yinda Chen
Dong Liu
Zhihai He
89
0
0
14 Feb 2025
Remote Inference over Dynamic Links via Adaptive Rate Deep Task-Oriented Vector Quantization
Remote Inference over Dynamic Links via Adaptive Rate Deep Task-Oriented Vector Quantization
Eyal Fishel
M. Malka
Shai Ginzach
Nir Shlezinger
34
0
0
07 Jan 2025
Efficient Medicinal Image Transmission and Resolution Enhancement via
  GAN
Efficient Medicinal Image Transmission and Resolution Enhancement via GAN
Rishabh Kumar Sharma
Mukund Sharma
Pushkar Sharma
Jeetashree Aparjeeta
MedIm
67
0
0
19 Nov 2024
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
27
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
Approximately Invertible Neural Network for Learned Image Compression
Approximately Invertible Neural Network for Learned Image Compression
Yanbo Gao
Meng Fu
Shuai Li
Chong Lv
Xun Cai
Hui Yuan
Mao Ye
16
0
0
30 Aug 2024
DeepHQ: Learned Hierarchical Quantizer for Progressive Deep Image Coding
DeepHQ: Learned Hierarchical Quantizer for Progressive Deep Image Coding
Jooyoung Lee
Se Yoon Jeong
Munchurl Kim
MQ
13
3
0
22 Aug 2024
Trustworthy Compression? Impact of AI-based Codecs on Biometrics for Law
  Enforcement
Trustworthy Compression? Impact of AI-based Codecs on Biometrics for Law Enforcement
Sandra Bergmann
Denise Moussa
Christian Riess
CVBM
31
0
0
20 Aug 2024
Learned HDR Image Compression for Perceptually Optimal Storage and
  Display
Learned HDR Image Compression for Perceptually Optimal Storage and Display
Peibei Cao
Haoyu Chen
Jingzhe Ma
Yu-Chieh Yuan
Zhiyong Xie
Xin Xie
Haiqing Bai
Kede Ma
18
1
0
18 Jul 2024
Rate-Distortion-Cognition Controllable Versatile Neural Image
  Compression
Rate-Distortion-Cognition Controllable Versatile Neural Image Compression
Jinming Liu
Ruoyu Feng
Yunpeng Qi
Qiuyu Chen
Zhibo Chen
Wenjun Zeng
Xin Jin
41
2
0
16 Jul 2024
Rethinking Learned Image Compression: Context is All You Need
Rethinking Learned Image Compression: Context is All You Need
Jixiang Luo
26
0
0
16 Jul 2024
HPC: Hierarchical Progressive Coding Framework for Volumetric Video
HPC: Hierarchical Progressive Coding Framework for Volumetric Video
Zihan Zheng
Houqiang Zhong
Qiang Hu
Xiaoyun Zhang
Li-Na Song
Ya Zhang
Yanfeng Wang
29
3
0
12 Jul 2024
Coding for Intelligence from the Perspective of Category
Coding for Intelligence from the Perspective of Category
Wenhan Yang
Zixuan Hu
Lilang Lin
Jiaying Liu
Ling-Yu Duan
AI4CE
40
1
0
01 Jul 2024
Optimal Video Compression using Pixel Shift Tracking
Optimal Video Compression using Pixel Shift Tracking
Hitesh Saai Mananchery Panneerselvam
Smit Anand
19
0
0
28 Jun 2024
PatchSVD: A Non-uniform SVD-based Image Compression Algorithm
PatchSVD: A Non-uniform SVD-based Image Compression Algorithm
Zahra Golpayegani
Nizar Bouguila
21
0
0
07 Jun 2024
Once-for-All: Controllable Generative Image Compression with Dynamic
  Granularity Adaption
Once-for-All: Controllable Generative Image Compression with Dynamic Granularity Adaption
Anqi Li
Yuxi Liu
H. Bai
Feng Li
Runmin Cong
Meng Wang
Yao-Min Zhao
40
1
0
02 Jun 2024
Neural Graphics Texture Compression Supporting Random Acces
Neural Graphics Texture Compression Supporting Random Acces
Farzad Farhadzadeh
Qiqi Hou
Hoang Le
Amir Said
Randall Rauwendaal
Alex Bourd
Fatih Porikli
29
0
0
06 May 2024
ESC: Efficient Speech Coding with Cross-Scale Residual Vector Quantized
  Transformers
ESC: Efficient Speech Coding with Cross-Scale Residual Vector Quantized Transformers
Yuzhe Gu
Enmao Diao
27
4
0
30 Apr 2024
Correcting Diffusion-Based Perceptual Image Compression with Privileged
  End-to-End Decoder
Correcting Diffusion-Based Perceptual Image Compression with Privileged End-to-End Decoder
Yiyang Ma
Wenhan Yang
Jiaying Liu
DiffM
35
5
0
07 Apr 2024
Low-Latency Neural Stereo Streaming
Low-Latency Neural Stereo Streaming
Qiqi Hou
Farzad Farhadzadeh
Amir Said
Guillaume Sautière
Hoang Le
36
2
0
26 Mar 2024
Neural Network Assisted Lifting Steps For Improved Fully Scalable Lossy
  Image Compression in JPEG 2000
Neural Network Assisted Lifting Steps For Improved Fully Scalable Lossy Image Compression in JPEG 2000
Xinyue Li
A. Naman
David S. Taubman
19
0
0
04 Mar 2024
Exploration of Learned Lifting-Based Transform Structures for Fully
  Scalable and Accessible Wavelet-Like Image Compression
Exploration of Learned Lifting-Based Transform Structures for Fully Scalable and Accessible Wavelet-Like Image Compression
Xinyue Li
A. Naman
David S. Taubman
27
0
0
29 Feb 2024
Traditional Transformation Theory Guided Model for Learned Image
  Compression
Traditional Transformation Theory Guided Model for Learned Image Compression
Zhiyuan Li
Chenyang Ge
Shun Li
27
0
0
24 Feb 2024
3D Point Cloud Compression with Recurrent Neural Network and Image
  Compression Methods
3D Point Cloud Compression with Recurrent Neural Network and Image Compression Methods
Till Beemelmanns
Yucheng Tao
Bastian Lampe
Lennart Reiher
Raphael van Kempen
Timo Woopen
L. Eckstein
16
7
0
18 Feb 2024
Robustly overfitting latents for flexible neural image compression
Robustly overfitting latents for flexible neural image compression
Yura Perugachi-Diaz
Arwin Gansekoele
S. Bhulai
31
1
0
31 Jan 2024
Corner-to-Center Long-range Context Model for Efficient Learned Image
  Compression
Corner-to-Center Long-range Context Model for Efficient Learned Image Compression
Yang Sui
Ding Ding
Xiang Pan
Xiaozhong Xu
Shan Liu
Bo Yuan
Zhenzhong Chen
13
5
0
29 Nov 2023
Progressive Learning with Visual Prompt Tuning for Variable-Rate Image
  Compression
Progressive Learning with Visual Prompt Tuning for Variable-Rate Image Compression
Shiyu Qin
Yimin Zhou
Jinpeng Wang
Bin Chen
Baoyi An
Tao Dai
Shu-Tao Xia
VLM
32
1
0
23 Nov 2023
Learned layered coding for Successive Refinement in the Wyner-Ziv
  Problem
Learned layered coding for Successive Refinement in the Wyner-Ziv Problem
Boris Joukovsky
B. D. Weerdt
Nikos Deligiannis
21
2
0
06 Nov 2023
Image Compression using only Attention based Neural Networks
Image Compression using only Attention based Neural Networks
Natacha Luka
Romain Negrel
David Picard
14
0
0
17 Oct 2023
Progressive Neural Compression for Adaptive Image Offloading under
  Timing Constraints
Progressive Neural Compression for Adaptive Image Offloading under Timing Constraints
Ruiqi Wang
Hanyang Liu
Jiaming Qiu
Moran Xu
Roch Guérin
Chenyang Lu
11
3
0
08 Oct 2023
COMPASS: High-Efficiency Deep Image Compression with Arbitrary-scale
  Spatial Scalability
COMPASS: High-Efficiency Deep Image Compression with Arbitrary-scale Spatial Scalability
Jongmin Park
Jooyoung Lee
Munchurl Kim
17
3
0
11 Sep 2023
Image Coding for Machines with Object Region Learning
Image Coding for Machines with Object Region Learning
Takahiro Shindo
Taiju Watanabe
Kein Yamada
Hiroshi Watanabe
28
7
0
27 Aug 2023
Alternate Learning based Sparse Semantic Communications for Visual
  Transmission
Alternate Learning based Sparse Semantic Communications for Visual Transmission
Siyu Tong
Xiaoxue Yu
Rongpeng Li
Kun Lu
Zhifeng Zhao
Honggang Zhang
19
4
0
31 Jul 2023
Exploring Resolution Fields for Scalable Image Compression with
  Uncertainty Guidance
Exploring Resolution Fields for Scalable Image Compression with Uncertainty Guidance
Dongyi Zhang
Feng Li
Man Liu
Runmin Cong
H. Bai
M. Wang
Yao-Min Zhao
20
7
0
15 Jun 2023
Variable Length Embeddings
Variable Length Embeddings
Johnathan Chiu
Andi Gu
Matt Zhou
DRL
14
0
0
17 May 2023
Prompt-ICM: A Unified Framework towards Image Coding for Machines with
  Task-driven Prompts
Prompt-ICM: A Unified Framework towards Image Coding for Machines with Task-driven Prompts
Ruoyu Feng
Jinming Liu
Xin Jin
Xiaohan Pan
Heming Sun
Zhibo Chen
VLM
58
11
0
04 May 2023
ProgDTD: Progressive Learned Image Compression with Double-Tail-Drop
  Training
ProgDTD: Progressive Learned Image Compression with Double-Tail-Drop Training
A. Hojjat
Janek Haberer
Olaf Landsiedel
33
9
0
03 May 2023
Multi-Modality Deep Network for Extreme Learned Image Compression
Multi-Modality Deep Network for Extreme Learned Image Compression
Xuhao Jiang
Weimin Tan
Tian Tan
Bo Yan
Liquan Shen
11
17
0
26 Apr 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
30
6
0
19 Apr 2023
Real-time 6K Image Rescaling with Rate-distortion Optimization
Real-time 6K Image Rescaling with Rate-distortion Optimization
Chenyang Qi
Xin Yang
Ka Leong Cheng
Ying-Cong Chen
Qifeng Chen
24
9
0
03 Apr 2023
Volumetric Attribute Compression for 3D Point Clouds using Feedforward
  Network with Geometric Attention
Volumetric Attribute Compression for 3D Point Clouds using Feedforward Network with Geometric Attention
Tam Thuc Do
P. Chou
Gene Cheung
3DPC
13
4
0
01 Apr 2023
LVQAC: Lattice Vector Quantization Coupled with Spatially Adaptive
  Companding for Efficient Learned Image Compression
LVQAC: Lattice Vector Quantization Coupled with Spatially Adaptive Companding for Efficient Learned Image Compression
Xi Zhang
Xiaolin Wu
MQ
11
24
0
25 Mar 2023
Sandwiched Video Compression: Efficiently Extending the Reach of
  Standard Codecs with Neural Wrappers
Sandwiched Video Compression: Efficiently Extending the Reach of Standard Codecs with Neural Wrappers
Berivan Isik
O. Guleryuz
Danhang Tang
Jonathan Taylor
P. Chou
19
8
0
20 Mar 2023
1234
Next