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FLLIC: Functionally Lossless Image Compression
v1v2v3v4 (latest)

FLLIC: Functionally Lossless Image Compression

24 January 2024
Xi Zhang
Xiaolin Wu
ArXiv (abs)PDFHTMLGithub

Papers citing "FLLIC: Functionally Lossless Image Compression"

45 / 45 papers shown
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 CompressionComputer Vision and Pattern Recognition (CVPR), 2023
Xi Zhang
Xiaolin Wu
MQ
265
35
0
25 Mar 2023
Dual-layer Image Compression via Adaptive Downsampling and Spatially
  Varying Upconversion
Dual-layer Image Compression via Adaptive Downsampling and Spatially Varying Upconversion
Xi Zhang
Xiaolin Wu
278
4
0
13 Feb 2023
EVC: Towards Real-Time Neural Image Compression with Mask Decay
EVC: Towards Real-Time Neural Image Compression with Mask DecayInternational Conference on Learning Representations (ICLR), 2023
G. Wang
Jiahao Li
Bin Li
Yan Lu
360
96
0
10 Feb 2023
Selective compression learning of latent representations for
  variable-rate image compression
Selective compression learning of latent representations for variable-rate image compressionNeural Information Processing Systems (NeurIPS), 2022
Jooyoung Lee
S. Jeong
Munchurl Kim
189
36
0
08 Nov 2022
Multi-Sample Training for Neural Image Compression
Multi-Sample Training for Neural Image CompressionNeural Information Processing Systems (NeurIPS), 2022
Tongda Xu
Yan Wang
Dailan He
Chenjian Gao
Han-yi Gao
Kun Liu
Hongwei Qin
348
6
0
28 Sep 2022
Flexible Neural Image Compression via Code Editing
Flexible Neural Image Compression via Code EditingNeural Information Processing Systems (NeurIPS), 2022
Chenjian Gao
Tongda Xu
Dailan He
Hongwei Qin
Yan Wang
369
33
0
19 Sep 2022
Optimizing Image Compression via Joint Learning with Denoising
Optimizing Image Compression via Joint Learning with DenoisingEuropean Conference on Computer Vision (ECCV), 2022
Ka Leong Cheng
Yueqi Xie
Qifeng Chen
314
20
0
22 Jul 2022
Hybrid Spatial-Temporal Entropy Modelling for Neural Video Compression
Hybrid Spatial-Temporal Entropy Modelling for Neural Video CompressionACM Multimedia (ACM MM), 2022
Jiahao Li
Bin Li
Yan Lu
288
245
0
13 Jul 2022
PILC: Practical Image Lossless Compression with an End-to-end GPU
  Oriented Neural Framework
PILC: Practical Image Lossless Compression with an End-to-end GPU Oriented Neural FrameworkComputer Vision and Pattern Recognition (CVPR), 2022
Ning Kang
Shanzhao Qiu
Shifeng Zhang
Zhenguo Li
Shutao Xia
324
24
0
10 Jun 2022
Joint Image Compression and Denoising via Latent-Space Scalability
Joint Image Compression and Denoising via Latent-Space ScalabilityFrontiers in Signal Processing (FSP), 2022
Saeed Ranjbar Alvar
Mateen Ulhaq
Hyomin Choi
Ivan V. Bajić
307
11
0
04 May 2022
ELIC: Efficient Learned Image Compression with Unevenly Grouped
  Space-Channel Contextual Adaptive Coding
ELIC: Efficient Learned Image Compression with Unevenly Grouped Space-Channel Contextual Adaptive CodingComputer Vision and Pattern Recognition (CVPR), 2022
Dailan He
Zi Yang
Weikun Peng
Rui Ma
Hongwei Qin
Yan Wang
445
522
0
21 Mar 2022
The Devil Is in the Details: Window-based Attention for Image
  Compression
The Devil Is in the Details: Window-based Attention for Image CompressionComputer Vision and Pattern Recognition (CVPR), 2022
Renjie Zou
Chunfeng Song
Zhaoxiang Zhang
ViT
316
322
0
16 Mar 2022
Entroformer: A Transformer-based Entropy Model for Learned Image
  Compression
Entroformer: A Transformer-based Entropy Model for Learned Image CompressionInternational Conference on Learning Representations (ICLR), 2022
Yichen Qian
Ming Lin
Xiuyu Sun
Zhiyu Tan
Rong Jin
ViT
332
194
0
11 Feb 2022
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
235
44
0
13 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
318
111
0
08 Dec 2021
Restormer: Efficient Transformer for High-Resolution Image Restoration
Restormer: Efficient Transformer for High-Resolution Image Restoration
Syed Waqas Zamir
Aditya Arora
Salman Khan
Munawar Hayat
Fahad Shahbaz Khan
Ming-Hsuan Yang
ViT
822
3,722
0
18 Nov 2021
iFlow: Numerically Invertible Flows for Efficient Lossless Compression
  via a Uniform Coder
iFlow: Numerically Invertible Flows for Efficient Lossless Compression via a Uniform CoderNeural Information Processing Systems (NeurIPS), 2021
Shifeng Zhang
Ning Kang
Tom Ryder
Zhenguo Li
179
43
0
01 Nov 2021
SwinIR: Image Restoration Using Swin Transformer
SwinIR: Image Restoration Using Swin Transformer
Christos Sakaridis
Jie Cao
Guolei Sun
Lucas Beerens
Luc Van Gool
Radu Timofte
ViT
727
4,445
0
23 Aug 2021
Multi-modality Deep Restoration of Extremely Compressed Face Videos
Multi-modality Deep Restoration of Extremely Compressed Face Videos
Xi Zhang
Xiaolin Wu
CVBM
307
22
0
05 Jul 2021
iVPF: Numerical Invertible Volume Preserving Flow for Efficient Lossless
  Compression
iVPF: Numerical Invertible Volume Preserving Flow for Efficient Lossless CompressionComputer Vision and Pattern Recognition (CVPR), 2021
Shifeng Zhang
Chen Zhang
Ning Kang
Zhenguo Li
242
46
0
30 Mar 2021
Slimmable Compressive Autoencoders for Practical Neural Image
  Compression
Slimmable Compressive Autoencoders for Practical Neural Image CompressionComputer Vision and Pattern Recognition (CVPR), 2021
Feiyu Yang
Luis Herranz
Yongmei Cheng
M. Mozerov
247
80
0
29 Mar 2021
Attention-guided Image Compression by Deep Reconstruction of Compressive
  Sensed Saliency Skeleton
Attention-guided Image Compression by Deep Reconstruction of Compressive Sensed Saliency SkeletonComputer Vision and Pattern Recognition (CVPR), 2021
Xi Zhang
Xiaolin Wu
227
35
0
29 Mar 2021
Checkerboard Context Model for Efficient Learned Image Compression
Checkerboard Context Model for Efficient Learned Image CompressionComputer Vision and Pattern Recognition (CVPR), 2021
Dailan He
Yaoyan Zheng
Baochen Sun
Yan Wang
Hongwei Qin
350
376
0
29 Mar 2021
High-Fidelity Generative Image Compression
High-Fidelity Generative Image Compression
Fabian Mentzer
G. Toderici
Michael Tschannen
E. Agustsson
652
601
0
17 Jun 2020
Learning Better Lossless Compression Using Lossy Compression
Learning Better Lossless Compression Using Lossy CompressionComputer Vision and Pattern Recognition (CVPR), 2020
Fabian Mentzer
Luc Van Gool
Michael Tschannen
301
81
0
23 Mar 2020
Decision-Making with Auto-Encoding Variational Bayes
Decision-Making with Auto-Encoding Variational BayesNeural Information Processing Systems (NeurIPS), 2020
Romain Lopez
Pierre Boyeau
Nir Yosef
Michael I. Jordan
Jeffrey Regier
BDL
1.8K
20,656
0
17 Feb 2020
HiLLoC: Lossless Image Compression with Hierarchical Latent Variable
  Models
HiLLoC: Lossless Image Compression with Hierarchical Latent Variable ModelsInternational Conference on Learning Representations (ICLR), 2019
James Townsend
Thomas Bird
Julius Kunze
David Barber
BDLVLM
350
59
0
20 Dec 2019
Pyramid Real Image Denoising Network
Pyramid Real Image Denoising NetworkVisual Communications and Image Processing (VCIP), 2019
Yiyun Zhao
Zhuqing Jiang
Aidong Men
Guodong Ju
309
41
0
01 Aug 2019
Compression with Flows via Local Bits-Back Coding
Compression with Flows via Local Bits-Back CodingNeural Information Processing Systems (NeurIPS), 2019
Jonathan Ho
Evan Lohn
Pieter Abbeel
353
63
0
21 May 2019
Integer Discrete Flows and Lossless Compression
Integer Discrete Flows and Lossless CompressionNeural Information Processing Systems (NeurIPS), 2019
Emiel Hoogeboom
Jorn W. T. Peters
Rianne van den Berg
Max Welling
671
179
0
17 May 2019
Bit-Swap: Recursive Bits-Back Coding for Lossless Compression with
  Hierarchical Latent Variables
Bit-Swap: Recursive Bits-Back Coding for Lossless Compression with Hierarchical Latent VariablesInternational Conference on Machine Learning (ICML), 2019
F. Kingma
Pieter Abbeel
Jonathan Ho
437
110
0
16 May 2019
Practical Full Resolution Learned Lossless Image Compression
Practical Full Resolution Learned Lossless Image Compression
Fabian Mentzer
E. Agustsson
Michael Tschannen
Radu Timofte
Luc Van Gool
445
238
0
30 Nov 2018
Nonlinear Prediction of Multidimensional Signals via Deep Regression
  with Applications to Image Coding
Nonlinear Prediction of Multidimensional Signals via Deep Regression with Applications to Image Coding
Xi Zhang
Xiaolin Wu
143
4
0
30 Oct 2018
Joint Autoregressive and Hierarchical Priors for Learned Image
  Compression
Joint Autoregressive and Hierarchical Priors for Learned Image Compression
David C. Minnen
Johannes Ballé
G. Toderici
464
1,564
0
08 Sep 2018
Toward Convolutional Blind Denoising of Real Photographs
Toward Convolutional Blind Denoising of Real Photographs
Shi Guo
Zifei Yan
Lucas Beerens
W. Zuo
Lei Zhang
492
1,071
0
12 Jul 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
465
526
0
12 Jan 2018
Deep Image Prior
Deep Image Prior
Dmitry Ulyanov
Andrea Vedaldi
Victor Lempitsky
SupR
953
3,676
0
29 Nov 2017
Enhanced Deep Residual Networks for Single Image Super-Resolution
Enhanced Deep Residual Networks for Single Image Super-Resolution
Bee Lim
Sanghyun Son
Heewon Kim
Seungjun Nah
Kyoung Mu Lee
SupR
730
7,072
0
10 Jul 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
333
525
0
03 Apr 2017
Lossy Image Compression with Compressive Autoencoders
Lossy Image Compression with Compressive Autoencoders
Lucas Theis
Wenzhe Shi
Andrew Cunningham
Ferenc Huszár
516
1,135
0
01 Mar 2017
PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture
  Likelihood and Other Modifications
PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other ModificationsInternational Conference on Learning Representations (ICLR), 2017
Tim Salimans
A. Karpathy
Xi Chen
Diederik P. Kingma
448
1,021
0
19 Jan 2017
End-to-end Optimized Image Compression
End-to-end Optimized Image Compression
Johannes Ballé
Valero Laparra
Eero P. Simoncelli
DRL
542
2,022
0
05 Nov 2016
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image
  Denoising
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
Lucas Beerens
W. Zuo
Yunjin Chen
Deyu Meng
Lei Zhang
SupR
693
8,134
0
13 Aug 2016
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSegGAN
1.9K
2,807
0
25 Jan 2016
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic OptimizationInternational Conference on Learning Representations (ICLR), 2014
Diederik P. Kingma
Jimmy Ba
ODL
5.0K
165,267
0
22 Dec 2014
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