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Improving Inference for Neural Image Compression

7 June 2020

Papers citing "Improving Inference for Neural Image Compression"

33 / 33 papers shown

Title
Exploiting Latent Properties to Optimize Neural Codecs M. Balcilar B. Damodaran Karam Naser Franck Galpin Pierre Hellier 83 0 0 03 Jan 2025
An Information-Theoretic Regularizer for Lossy Neural Image Compression Yanmei Zhang Meng Wang Xihua Sheng Peilin Chen Junru Li Li Zhang Shuaiqiang Wang 445 0 0 23 Nov 2024
Few-Shot Domain Adaptation for Learned Image Compression Tianyu Zhang Haotian Zhang Yuqi Li Li Li Dong Liu VLM 90 1 0 17 Sep 2024
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 80 17 0 17 Jan 2024
Semantically Structured Image Compression via Irregular Group-Based Decoupling V. Sheoran Yixin Gao Shreyansh Joshi Tanisha R. Bhayani Zhibo Chen 190 14 0 04 May 2023
Hierarchical Autoregressive Modeling for Neural Video Compression Ruihan Yang Yibo Yang Joseph Marino Stephan Mandt BDL VGen 165 47 0 19 Oct 2020
Variational Bayesian Quantization Yibo Yang Robert Bamler Stephan Mandt BDL MQ 56 5 0 18 Feb 2020
HiLLoC: Lossless Image Compression with Hierarchical Latent Variable Models James Townsend Thomas Bird Julius Kunze David Barber BDL VLM 131 56 0 20 Dec 2019
Computationally Efficient Neural Image Compression Nick Johnston Elad Eban A. Gordon Johannes Ballé 58 55 0 18 Dec 2019
Video Compression With Rate-Distortion Autoencoders A. Habibian T. V. Rozendaal Jakub M. Tomczak Taco S. Cohen VGen 62 202 0 14 Aug 2019
Content Adaptive Optimization for Neural Image Compression Joaquim Campos Simon Meierhans Abdelaziz Djelouah Christopher Schroers 52 65 0 04 Jun 2019
Compression with Flows via Local Bits-Back Coding Jonathan Ho Evan Lohn Pieter Abbeel 74 53 0 21 May 2019
Bit-Swap: Recursive Bits-Back Coding for Lossless Compression with Hierarchical Latent Variables F. Kingma Pieter Abbeel Jonathan Ho 57 97 0 16 May 2019
Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets Penghang Yin J. Lyu Shuai Zhang Stanley Osher Y. Qi Jack Xin MQ LLMSV 106 318 0 13 Mar 2019
Practical Lossless Compression with Latent Variables using Bits Back Coding James Townsend Thomas Bird David Barber DRL 66 142 0 15 Jan 2019
Deep Generative Video Compression Jun Han Salvator Lombardo Christopher Schroers Stephan Mandt VGen 61 58 0 05 Oct 2018
Joint Autoregressive and Hierarchical Priors for Learned Image Compression David C. Minnen Johannes Ballé G. Toderici 79 1,278 0 08 Sep 2018
Iterative Amortized Inference Joseph Marino Yisong Yue Stephan Mandt BDL DRL 73 168 0 24 Jul 2018
Semi-Amortized Variational Autoencoders Yoon Kim Sam Wiseman Andrew C. Miller David Sontag Alexander M. Rush BDL DRL 142 243 0 07 Feb 2018
Inference Suboptimality in Variational Autoencoders Chris Cremer Xuechen Li David Duvenaud DRL BDL 135 283 0 10 Jan 2018
Advances in Variational Inference Cheng Zhang Judith Butepage Hedvig Kjellström Stephan Mandt BDL 182 694 0 15 Nov 2017
Neural Discrete Representation Learning Aaron van den Oord Oriol Vinyals Koray Kavukcuoglu BDL SSL OCL 228 5,061 0 02 Nov 2017
Fixing a Broken ELBO Alexander A. Alemi Ben Poole Ian S. Fischer Joshua V. Dillon Rif A. Saurous Kevin Patrick Murphy DRL BDL 73 80 0 01 Nov 2017
On the challenges of learning with inference networks on sparse, high-dimensional data Rahul G. Krishnan Dawen Liang Matthew Hoffman CML BDL 79 85 0 17 Oct 2017
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 69 482 0 03 Apr 2017
Lossy Image Compression with Compressive Autoencoders Lucas Theis Wenzhe Shi Andrew Cunningham Ferenc Huszár 64 1,056 0 01 Mar 2017
End-to-end Optimized Image Compression Johannes Ballé Valero Laparra Eero P. Simoncelli DRL 98 1,713 0 05 Nov 2016
Categorical Reparameterization with Gumbel-Softmax Eric Jang S. Gu Ben Poole BDL 346 5,379 0 03 Nov 2016
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables Chris J. Maddison A. Mnih Yee Whye Teh BDL 198 2,538 0 02 Nov 2016
Variational Inference: A Review for Statisticians David M. Blei A. Kucukelbir Jon D. McAuliffe BDL 287 4,807 0 04 Jan 2016
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 75 671 0 19 Nov 2015
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 455 16,923 0 20 Dec 2013
Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation Yoshua Bengio Nicholas Léonard Aaron Courville 387 3,151 0 15 Aug 2013