Compression with Flows via Local Bits-Back Coding

21 May 2019

Pieter Abbeel

Papers citing "Compression with Flows via Local Bits-Back Coding"

40 / 40 papers shown

Title
Deep Robust Reversible Watermarking Jiale Chen Wei Wang Chongyang Shi Li Dong Yuanman Li Xiping Hu 45 0 0 04 Mar 2025
Likelihood Training of Cascaded Diffusion Models via Hierarchical Volume-preserving Maps Henry Li Ronen Basri Y. Kluger DiffM 62 2 0 13 Jan 2025
CALLIC: Content Adaptive Learning for Lossless Image Compression Daxin Li Yuanchao Bai Kai Wang Junjun Jiang Xianming Liu Wen Gao VLM 45 0 0 23 Dec 2024
Test-time adaptation for image compression with distribution regularization Kecheng Chen Pingping Zhang Tiexin Qin Shiqi Wang Hong Yan Haoliang Li 35 1 0 16 Oct 2024
Wavelet-Like Transform-Based Technology in Response to the Call for Proposals on Neural Network-Based Image Coding Cunhui Dong Haichuan Ma Haotian Zhang Changsheng Gao Li Li Dong Liu 44 5 0 09 Mar 2024
Understanding Likelihood of Normalizing Flow and Image Complexity through the Lens of Out-of-Distribution Detection Genki Osada Tsubasa Takahashi Takashi Nishide OODD 14 1 0 16 Feb 2024
FLLIC: Functionally Lossless Image Compression Xi Zhang Xiaolin Wu 24 0 0 24 Jan 2024
Diffusion Models, Image Super-Resolution And Everything: A Survey Brian B. Moser Arundhati S. Shanbhag Federico Raue Stanislav Frolov Sebastián M. Palacio Andreas Dengel 26 35 0 01 Jan 2024
Deep Lossy Plus Residual Coding for Lossless and Near-lossless Image Compression Yuanchao Bai Xianming Liu Kai Wang Xiangyang Ji Xiaoling Wu Wen Gao 32 22 0 11 Sep 2022
Multi-Scale Architectures Matter: On the Adversarial Robustness of Flow-based Lossless Compression Yitong Xia Bin Chen Yan Feng Tian-shuo Ge AI4CE 16 0 0 26 Aug 2022
Extreme-scale Talking-Face Video Upsampling with Audio-Visual Priors Sindhu B. Hegde Rudrabha Mukhopadhyay Vinay P. Namboodiri C. V. Jawahar CVBM 18 1 0 17 Aug 2022
Fast Lossless Neural Compression with Integer-Only Discrete Flows Siyu Wang Jianfei Chen Chongxuan Li Jun Zhu Bo Zhang MQ 26 7 0 17 Jun 2022
PILC: Practical Image Lossless Compression with an End-to-end GPU Oriented Neural Framework Ning Kang Shanzhao Qiu Shifeng Zhang Zhenguo Li Shutao Xia 22 17 0 10 Jun 2022
Diagnosing and Fixing Manifold Overfitting in Deep Generative Models G. Loaiza-Ganem Brendan Leigh Ross Jesse C. Cresswell Anthony L. Caterini GAN DRL 22 28 0 14 Apr 2022
Split Hierarchical Variational Compression Tom Ryder Chen Zhang Ning Kang Shifeng Zhang 19 11 0 05 Apr 2022
An Introduction to Neural Data Compression Yibo Yang Stephan Mandt Lucas Theis 24 118 0 14 Feb 2022
Towards Empirical Sandwich Bounds on the Rate-Distortion Function Yibo Yang Stephan Mandt 30 24 0 23 Nov 2021
Lossless Compression with Probabilistic Circuits Guy Van den Broeck Stephan Mandt Mathias Niepert TPM 21 21 0 23 Nov 2021
OSOA: One-Shot Online Adaptation of Deep Generative Models for Lossless Compression Chen Zhang Shifeng Zhang Fabio Maria Carlucci Zhenguo Li VLM 14 2 0 02 Nov 2021
iFlow: Numerically Invertible Flows for Efficient Lossless Compression via a Uniform Coder Shifeng Zhang Ning Kang Tom Ryder Zhenguo Li 27 30 0 01 Nov 2021
Autoregressive Diffusion Models Emiel Hoogeboom Alexey A. Gritsenko Jasmijn Bastings Ben Poole Rianne van den Berg Tim Salimans DiffM 45 146 0 05 Oct 2021
On the Out-of-distribution Generalization of Probabilistic Image Modelling Mingtian Zhang Andi Zhang Jingyu Sun OODD 29 45 0 04 Sep 2021
Lossless Image Compression Using a Multi-Scale Progressive Statistical Model Honglei Zhang Francesco Cricri Hamed R. Tavakoli Nannan Zou Emre B. Aksu M. Hannuksela 30 18 0 24 Aug 2021
Insights from Generative Modeling for Neural Video Compression Ruihan Yang Yibo Yang Joseph Marino Stephan Mandt VGen 35 16 0 28 Jul 2021
Discrete Denoising Flows Alexandra Lindt Emiel Hoogeboom BDL DRL 28 3 0 24 Jul 2021
Partition and Code: learning how to compress graphs Giorgos Bouritsas Andreas Loukas Nikolaos Karalias M. Bronstein 19 13 0 05 Jul 2021
Variational Diffusion Models Diederik P. Kingma Tim Salimans Ben Poole Jonathan Ho DiffM 94 1,069 0 01 Jul 2021
Lossless Compression with Latent Variable Models James Townsend BDL DRL 33 6 0 21 Apr 2021
iVPF: Numerical Invertible Volume Preserving Flow for Efficient Lossless Compression Shifeng Zhang Chen Zhang Ning Kang Zhenguo Li 33 37 0 30 Mar 2021
Learning Non-linear Wavelet Transformation via Normalizing Flow Shuo-Hui Li 16 3 0 27 Jan 2021
Maximum Likelihood Training of Score-Based Diffusion Models Yang Song Conor Durkan Iain Murray Stefano Ermon DiffM 64 627 0 22 Jan 2021
Soft Compression for Lossless Image Coding Gangtao Xin Pingyi Fan 18 6 0 11 Dec 2020
Reducing the Computational Cost of Deep Generative Models with Binary Neural Networks Thomas Bird F. Kingma David Barber SyDa MQ AI4CE 26 9 0 26 Oct 2020
Compressing Images by Encoding Their Latent Representations with Relative Entropy Coding Gergely Flamich Marton Havasi José Miguel Hernández-Lobato 21 59 0 02 Oct 2020
Variational Inference with Continuously-Indexed Normalizing Flows Anthony L. Caterini R. Cornish Dino Sejdinovic Arnaud Doucet BDL 24 19 0 10 Jul 2020
IDF++: Analyzing and Improving Integer Discrete Flows for Lossless Compression Rianne van den Berg A. Gritsenko Mostafa Dehghani C. Sønderby Tim Salimans 27 60 0 22 Jun 2020
Improving Inference for Neural Image Compression Yibo Yang Robert Bamler Stephan Mandt 19 122 0 07 Jun 2020
Lossless Image Compression through Super-Resolution Shengcao Cao Chaoxia Wu Philipp Krahenbuhl 33 39 0 06 Apr 2020
HiLLoC: Lossless Image Compression with Hierarchical Latent Variable Models James Townsend Thomas Bird Julius Kunze David Barber BDL VLM 21 56 0 20 Dec 2019
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 275 2,553 0 25 Jan 2016