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. 1809.02736
  4. Cited By
Joint Autoregressive and Hierarchical Priors for Learned Image
  Compression

Joint Autoregressive and Hierarchical Priors for Learned Image Compression

8 September 2018
David C. Minnen
Johannes Ballé
G. Toderici
ArXivPDFHTML

Papers citing "Joint Autoregressive and Hierarchical Priors for Learned Image Compression"

43 / 43 papers shown
Title
One-Step Diffusion-Based Image Compression with Semantic Distillation
One-Step Diffusion-Based Image Compression with Semantic Distillation
Naifu Xue
Zhaoyang Jia
Jiahao Li
Bin Li
Yuan Zhang
Yan Lu
DiffM
74
0
0
22 May 2025
Easz: An Agile Transformer-based Image Compression Framework for Resource-constrained IoTs
Easz: An Agile Transformer-based Image Compression Framework for Resource-constrained IoTs
Yu Mao
Jingzong Li
Jun Wang
Hong Xu
Tei-Wei Kuo
Nan Guan
Chun Jason Xue
54
0
0
03 May 2025
Human Aligned Compression for Robust Models
Human Aligned Compression for Robust Models
Samuel Räber
Andreas Plesner
Till Aczél
Roger Wattenhofer
AAML
85
0
0
16 Apr 2025
Learned Image Compression with Dictionary-based Entropy Model
Learned Image Compression with Dictionary-based Entropy Model
Jingbo Lu
Leheng Zhang
Xingyu Zhou
Mu Li
Wen Li
Shuhang Gu
78
1
0
01 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
77
3
0
13 Mar 2025
FEDS: Feature and Entropy-Based Distillation Strategy for Efficient Learned Image Compression
H. Fu
Jie Liang
Zhenman Fang
Jingning Han
85
0
0
09 Mar 2025
Large Language Model for Lossless Image Compression with Visual Prompts
Large Language Model for Lossless Image Compression with Visual Prompts
Junhao Du
Chuqin Zhou
Ning Cao
Gang Chen
Yunuo Chen
Zhengxue Cheng
Li Song
Guo Lu
Wenjun Zhang
VLM
77
2
0
22 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
117
0
0
14 Feb 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
133
1
0
10 Feb 2025
Linear Attention Modeling for Learned Image Compression
Linear Attention Modeling for Learned Image Compression
Donghui Feng
Zhengxue Cheng
Shen Wang
Ronghua Wu
Hongwei Hu
Guo Lu
Li Song
270
1
0
09 Feb 2025
Lossy Compression with Pretrained Diffusion Models
Jeremy Vonderfecht
Feng Liu
DiffM
126
2
0
20 Jan 2025
Unified Coding for Both Human Perception and Generalized Machine Analytics with CLIP Supervision
Unified Coding for Both Human Perception and Generalized Machine Analytics with CLIP Supervision
Kangsheng Yin
Quan Liu
Xuelin Shen
Yulin He
Wenhan Yang
Shiqi Wang
VLM
75
0
0
08 Jan 2025
Exploiting Latent Properties to Optimize Neural Codecs
M. Balcilar
B. Damodaran
Karam Naser
Franck Galpin
Pierre Hellier
69
0
0
03 Jan 2025
HEMGS: A Hybrid Entropy Model for 3D Gaussian Splatting Data Compression
HEMGS: A Hybrid Entropy Model for 3D Gaussian Splatting Data Compression
Lei Liu
Zhenghao Chen
Dong Xu
Wei Wang
Dong Xu
3DGS
126
5
0
27 Nov 2024
An Information-Theoretic Regularizer for Lossy Neural Image Compression
An Information-Theoretic Regularizer for Lossy Neural Image Compression
Yanmei Zhang
Meng Wang
Xihua Sheng
Peilin Chen
Junru Li
Li Zhang
Shuaiqiang Wang
381
0
0
23 Nov 2024
Efficient Progressive Image Compression with Variance-aware Masking
Efficient Progressive Image Compression with Variance-aware Masking
Alberto Presta
Enzo Tartaglione
Attilio Fiandrotti
Marco Grangetto
Pamela Cosman
97
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
42
0
0
28 Oct 2024
Few-Shot Domain Adaptation for Learned Image Compression
Few-Shot Domain Adaptation for Learned Image Compression
Tianyu Zhang
Haotian Zhang
Yuqi Li
Li Li
Dong Liu
VLM
65
1
0
17 Sep 2024
High Frequency Matters: Uncertainty Guided Image Compression with Wavelet Diffusion
High Frequency Matters: Uncertainty Guided Image Compression with Wavelet Diffusion
Juan Song
Jiaxiang He
Mingtao Feng
Keyan Wang
Yunsong Li
DiffM
115
5
0
17 Jul 2024
FOOL: Addressing the Downlink Bottleneck in Satellite Computing with Neural Feature Compression
FOOL: Addressing the Downlink Bottleneck in Satellite Computing with Neural Feature Compression
Alireza Furutanpey
Qiyang Zhang
Philipp Raith
Tobias Pfandzelter
Shangguang Wang
Schahram Dustdar
113
4
0
25 Mar 2024
CAMSIC: Content-aware Masked Image Modeling Transformer for Stereo Image Compression
CAMSIC: Content-aware Masked Image Modeling Transformer for Stereo Image Compression
Xinjie Zhang
Shenyuan Gao
Zhening Liu
Jiawei Shao
Xingtong Ge
Dailan He
Tongda Xu
Yan Wang
Jun Zhang
72
1
0
13 Mar 2024
FLLIC: Functionally Lossless Image Compression
FLLIC: Functionally Lossless Image Compression
Xi Zhang
Xiaolin Wu
79
0
0
24 Jan 2024
Idempotence and Perceptual Image Compression
Idempotence and Perceptual Image Compression
Tongda Xu
Ziran Zhu
Dailan He
Yanghao Li
Lina Guo
...
Zhe Wang
Hongwei Qin
Yan Wang
Jingjing Liu
Ya Zhang
61
16
0
17 Jan 2024
Semantically Structured Image Compression via Irregular Group-Based Decoupling
Semantically Structured Image Compression via Irregular Group-Based Decoupling
V. Sheoran
Yixin Gao
Shreyansh Joshi
Tanisha R. Bhayani
Zhibo Chen
122
13
0
04 May 2023
Neural Multi-scale Image Compression
Neural Multi-scale Image Compression
Ken M. Nakanishi
S. Maeda
Takeru Miyato
Daisuke Okanohara
33
38
0
16 May 2018
Spatially adaptive image compression using a tiled deep network
Spatially adaptive image compression using a tiled deep network
David C. Minnen
G. Toderici
Michele Covell
Troy T. Chinen
Nick Johnston
Joel Shor
S. Hwang
Damien Vincent
Saurabh Singh
22
59
0
07 Feb 2018
Conditional Probability Models for Deep Image Compression
Conditional Probability Models for Deep Image Compression
Fabian Mentzer
E. Agustsson
Michael Tschannen
Radu Timofte
Luc Van Gool
49
487
0
12 Jan 2018
Parallel WaveNet: Fast High-Fidelity Speech Synthesis
Parallel WaveNet: Fast High-Fidelity Speech Synthesis
Aaron van den Oord
Yazhe Li
Igor Babuschkin
Karen Simonyan
Oriol Vinyals
...
Alex Graves
Helen King
T. Walters
Dan Belov
Demis Hassabis
143
858
0
28 Nov 2017
Learning to Inpaint for Image Compression
Learning to Inpaint for Image Compression
M. H. Baig
V. Koltun
Lorenzo Torresani
AI4CE
37
55
0
26 Sep 2017
Real-Time Adaptive Image Compression
Real-Time Adaptive Image Compression
Oren Rippel
Lubomir D. Bourdev
36
560
0
16 May 2017
Soft-to-Hard Vector Quantization for End-to-End Learning Compressible
  Representations
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
47
481
0
03 Apr 2017
Learning Convolutional Networks for Content-weighted Image Compression
Learning Convolutional Networks for Content-weighted Image Compression
Mu Li
W. Zuo
Shuhang Gu
Debin Zhao
David C. Zhang
67
399
0
30 Mar 2017
Improved Lossy Image Compression with Priming and Spatially Adaptive Bit
  Rates for Recurrent Networks
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
38
372
0
29 Mar 2017
Parallel Multiscale Autoregressive Density Estimation
Parallel Multiscale Autoregressive Density Estimation
Scott E. Reed
Aaron van den Oord
Nal Kalchbrenner
Sergio Gomez Colmenarejo
Ziyun Wang
Dan Belov
Nando de Freitas
BDL
62
205
0
10 Mar 2017
Lossy Image Compression with Compressive Autoencoders
Lossy Image Compression with Compressive Autoencoders
Lucas Theis
Wenzhe Shi
Andrew Cunningham
Ferenc Huszár
57
1,050
0
01 Mar 2017
PixelVAE: A Latent Variable Model for Natural Images
PixelVAE: A Latent Variable Model for Natural Images
Ishaan Gulrajani
Kundan Kumar
Faruk Ahmed
Adrien Ali Taïga
Francesco Visin
David Vazquez
Aaron Courville
DRL
SSL
BDL
62
340
0
15 Nov 2016
Variational Lossy Autoencoder
Variational Lossy Autoencoder
Xi Chen
Diederik P. Kingma
Tim Salimans
Yan Duan
Prafulla Dhariwal
John Schulman
Ilya Sutskever
Pieter Abbeel
DRL
SSL
GAN
111
674
0
08 Nov 2016
End-to-end Optimized Image Compression
End-to-end Optimized Image Compression
Johannes Ballé
Valero Laparra
Eero P. Simoncelli
DRL
71
1,701
0
05 Nov 2016
Full Resolution Image Compression with Recurrent Neural Networks
Full Resolution Image Compression with Recurrent Neural Networks
G. Toderici
Damien Vincent
Nick Johnston
S. Hwang
David C. Minnen
Joel Shor
Michele Covell
GAN
44
827
0
18 Aug 2016
Conditional Image Generation with PixelCNN Decoders
Conditional Image Generation with PixelCNN Decoders
Aaron van den Oord
Nal Kalchbrenner
Oriol Vinyals
L. Espeholt
Alex Graves
Koray Kavukcuoglu
VLM
131
2,495
0
16 Jun 2016
Density Modeling of Images using a Generalized Normalization
  Transformation
Density Modeling of Images using a Generalized Normalization Transformation
Johannes Ballé
Valero Laparra
Eero P. Simoncelli
41
386
0
19 Nov 2015
Variable Rate Image Compression with Recurrent Neural Networks
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
52
670
0
19 Nov 2015
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
367
16,962
0
20 Dec 2013
1