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Universally Quantized Neural Compression

Universally Quantized Neural Compression

17 June 2020
E. Agustsson
Lucas Theis
    MQ
ArXivPDFHTML

Papers citing "Universally Quantized Neural Compression"

15 / 15 papers shown
Title
An Information-Theoretic Regularizer for Lossy Neural Image Compression
An Information-Theoretic Regularizer for Lossy Neural Image Compression
Y. Zhang
Meng Wang
Xihua Sheng
Peilin Chen
Junru Li
L. Zhang
S. Wang
162
0
0
23 Nov 2024
NVRC: Neural Video Representation Compression
NVRC: Neural Video Representation Compression
Ho Man Kwan
Ge Gao
Fan Zhang
Andrew Gower
David Bull
23
11
0
11 Sep 2024
Universal Exact Compression of Differentially Private Mechanisms
Universal Exact Compression of Differentially Private Mechanisms
Yanxiao Liu
Wei-Ning Chen
Ayfer Özgür
Cheuk Ting Li
33
2
0
28 May 2024
The Rate-Distortion-Perception Trade-off: The Role of Private Randomness
The Rate-Distortion-Perception Trade-off: The Role of Private Randomness
Yassine Hamdi
Aaron B. Wagner
Deniz Gündüz
35
9
0
01 Apr 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
C3: High-performance and low-complexity neural compression from a single
  image or video
C3: High-performance and low-complexity neural compression from a single image or video
Hyunjik Kim
Matthias Bauer
Lucas Theis
Jonathan Richard Schwarz
Emilien Dupont
VGen
20
23
0
05 Dec 2023
Lossy Image Compression with Quantized Hierarchical VAEs
Lossy Image Compression with Quantized Hierarchical VAEs
Zhihao Duan
Ming-Tse Lu
Zhan Ma
F. Zhu
35
43
0
27 Aug 2022
Lossy Compression with Gaussian Diffusion
Lossy Compression with Gaussian Diffusion
Lucas Theis
Tim Salimans
Matthew D. Hoffman
Fabian Mentzer
DiffM
28
77
0
17 Jun 2022
Learning Cross-Scale Weighted Prediction for Efficient Neural Video
  Compression
Learning Cross-Scale Weighted Prediction for Efficient Neural Video Compression
Zongyu Guo
Runsen Feng
Zhizheng Zhang
Xin Jin
Zhibo Chen
19
15
0
26 Dec 2021
Towards Empirical Sandwich Bounds on the Rate-Distortion Function
Towards Empirical Sandwich Bounds on the Rate-Distortion Function
Yibo Yang
Stephan Mandt
28
24
0
23 Nov 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
26
28
0
17 Nov 2021
Versatile Learned Video Compression
Versatile Learned Video Compression
Runsen Feng
Zongyu Guo
Zhizheng Zhang
Zhibo Chen
16
16
0
05 Nov 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
13
1
0
30 Sep 2021
On the advantages of stochastic encoders
On the advantages of stochastic encoders
Lucas Theis
E. Agustsson
49
44
0
18 Feb 2021
End-to-end optimization of nonlinear transform codes for perceptual
  quality
End-to-end optimization of nonlinear transform codes for perceptual quality
Johannes Ballé
Valero Laparra
Eero P. Simoncelli
70
244
0
18 Jul 2016
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