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Computationally-Efficient Neural Image Compression with Shallow Decoders

Computationally-Efficient Neural Image Compression with Shallow Decoders

13 April 2023
Yibo Yang
Stephan Mandt
ArXivPDFHTML

Papers citing "Computationally-Efficient Neural Image Compression with Shallow Decoders"

16 / 16 papers shown
Title
Accelerating Learned Image Compression Through Modeling Neural Training Dynamics
Accelerating Learned Image Compression Through Modeling Neural Training Dynamics
Yichi Zhang
Zhihao Duan
Yuning Huang
Fengqing Zhu
187
0
0
23 May 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
142
1
0
10 Feb 2025
Generalization Gap in Amortized Inference
Generalization Gap in Amortized Inference
Mingtian Zhang
Peter Hayes
David Barber
BDL
CML
DRL
77
14
0
23 May 2022
Towards Empirical Sandwich Bounds on the Rate-Distortion Function
Towards Empirical Sandwich Bounds on the Rate-Distortion Function
Yibo Yang
Stephan Mandt
50
24
0
23 Nov 2021
Lossless Compression with Probabilistic Circuits
Lossless Compression with Probabilistic Circuits
Hoang Trung-Dung
Stephan Mandt
Guy Van den Broeck
TPM
44
22
0
23 Nov 2021
Overfitting for Fun and Profit: Instance-Adaptive Data Compression
Overfitting for Fun and Profit: Instance-Adaptive Data Compression
T. V. Rozendaal
Iris A. M. Huijben
Taco S. Cohen
58
47
0
21 Jan 2021
CompressAI: a PyTorch library and evaluation platform for end-to-end
  compression research
CompressAI: a PyTorch library and evaluation platform for end-to-end compression research
Jean Bégaint
Fabien Racapé
Simon Feltman
Akshay Pushparaja
VLM
56
425
0
05 Nov 2020
Hierarchical Autoregressive Modeling for Neural Video Compression
Hierarchical Autoregressive Modeling for Neural Video Compression
Ruihan Yang
Yibo Yang
Joseph Marino
Stephan Mandt
BDL
VGen
144
47
0
19 Oct 2020
Channel-wise Autoregressive Entropy Models for Learned Image Compression
Channel-wise Autoregressive Entropy Models for Learned Image Compression
David C. Minnen
Saurabh Singh
65
410
0
17 Jul 2020
Improving Inference for Neural Image Compression
Improving Inference for Neural Image Compression
Yibo Yang
Robert Bamler
Stephan Mandt
70
123
0
07 Jun 2020
Learning Flat Latent Manifolds with VAEs
Learning Flat Latent Manifolds with VAEs
Nutan Chen
Alexej Klushyn
Francesco Ferroni
Justin Bayer
Patrick van der Smagt
DRL
54
41
0
12 Feb 2020
Computationally Efficient Neural Image Compression
Computationally Efficient Neural Image Compression
Nick Johnston
Elad Eban
A. Gordon
Johannes Ballé
50
54
0
18 Dec 2019
Practical Lossless Compression with Latent Variables using Bits Back
  Coding
Practical Lossless Compression with Latent Variables using Bits Back Coding
James Townsend
Thomas Bird
David Barber
DRL
66
142
0
15 Jan 2019
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
Eli Shechtman
Oliver Wang
EGVM
329
11,734
0
11 Jan 2018
mixup: Beyond Empirical Risk Minimization
mixup: Beyond Empirical Risk Minimization
Hongyi Zhang
Moustapha Cissé
Yann N. Dauphin
David Lopez-Paz
NoLa
271
9,743
0
25 Oct 2017
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
95
244
0
18 Jul 2016
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