HiLLoC: Lossless Image Compression with Hierarchical Latent Variable Models

20 December 2019

Papers citing "HiLLoC: Lossless Image Compression with Hierarchical Latent Variable Models"

40 / 40 papers shown

Title
Lossless Compression of Vector IDs for Approximate Nearest Neighbor Search Daniel de Souza Severo Giuseppe Ottaviano Matthew Muckley Karen Ullrich Matthijs Douze MQ 46 0 0 16 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
Point Cloud Compression with Bits-back Coding Nguyen Quang Hieu Minh-Duong Nguyen D. Hoang Diep N. Nguyen E. Dutkiewicz 3DPC 18 0 0 09 Oct 2024
FLLIC: Functionally Lossless Image Compression Xi Zhang Xiaolin Wu 24 0 0 24 Jan 2024
Verified Reversible Programming for Verified Lossless Compression James Townsend Jan-Willem van de Meent 27 0 0 02 Nov 2022
GOLLIC: Learning Global Context beyond Patches for Lossless High-Resolution Image Compression Yuan Lan Liang Qin Zhao Sun Yang Xiang Jie Sun 16 2 0 07 Oct 2022
Deep Lossy Plus Residual Coding for Lossless and Near-lossless Image Compression Yuanchao Bai Xianming Liu Kai Wang Xiangyang Ji Xiaoling Wu Wen Gao 29 22 0 11 Sep 2022
Lossy Image Compression with Quantized Hierarchical VAEs Zhihao Duan Ming-Tse Lu Zhan Ma F. Zhu 46 43 0 27 Aug 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
Fast Lossless Neural Compression with Integer-Only Discrete Flows Siyu Wang Jianfei Chen Chongxuan Li Jun Zhu Bo Zhang MQ 19 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 20 17 0 10 Jun 2022
RIDDLE: Lidar Data Compression with Range Image Deep Delta Encoding Xuanyu Zhou C. Qi Yin Zhou Drago Anguelov 3DPC 19 21 0 02 Jun 2022
Improving VAE-based Representation Learning Mingtian Zhang Tim Z. Xiao Brooks Paige David Barber SSL DRL 10 9 0 28 May 2022
Generalization Gap in Amortized Inference Mingtian Zhang Peter Hayes David Barber BDL CML DRL 45 14 0 23 May 2022
Split Hierarchical Variational Compression Tom Ryder Chen Zhang Ning Kang Shifeng Zhang 19 11 0 05 Apr 2022
Practical Learned Lossless JPEG Recompression with Multi-Level Cross-Channel Entropy Model in the DCT Domain Lina Guo Xinjie Shi Dailan He Yuanyuan Wang Rui Ma Hongwei Qin Yan Wang 35 6 0 30 Mar 2022
An Introduction to Neural Data Compression Yibo Yang Stephan Mandt Lucas Theis 22 117 0 14 Feb 2022
Parallel Neural Local Lossless Compression Mingtian Zhang James Townsend Ning Kang David Barber 25 7 0 13 Jan 2022
Lossless Compression with Probabilistic Circuits Anji Liu Stephan Mandt Guy Van den Broeck TPM 11 19 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 45 142 0 05 Oct 2021
On the Out-of-distribution Generalization of Probabilistic Image Modelling Mingtian Zhang Andi Zhang Steven G. McDonagh OODD 24 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 22 18 0 24 Aug 2021
Discrete Denoising Flows Alexandra Lindt Emiel Hoogeboom BDL DRL 28 3 0 24 Jul 2021
Compressing Multisets with Large Alphabets using Bits-Back Coding Daniel de Souza Severo James Townsend Ashish Khisti Alireza Makhzani Karen Ullrich 19 8 0 15 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 58 1,060 0 01 Jul 2021
IB-DRR: Incremental Learning with Information-Back Discrete Representation Replay Jian Jiang Edoardo Cetin Oya Celiktutan 11 9 0 21 Apr 2021
Lossless Compression with Latent Variable Models James Townsend BDL DRL 25 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
Lossless compression with state space models using bits back coding James Townsend Iain R. Murray 19 8 0 18 Mar 2021
Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding Yangjun Ruan Karen Ullrich Daniel de Souza Severo James Townsend Ashish Khisti Arnaud Doucet Alireza Makhzani Chris J. Maddison 11 25 0 22 Feb 2021
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 15 59 0 02 Oct 2020
Relaxed-Responsibility Hierarchical Discrete VAEs M. Willetts Xenia Miscouridou Stephen J. Roberts Chris Holmes BDL DRL 22 5 0 14 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 59 0 22 Jun 2020
Improving Inference for Neural Image Compression Yibo Yang Robert Bamler Stephan Mandt 17 122 0 07 Jun 2020
Lossless Image Compression through Super-Resolution Shengcao Cao Chaoxia Wu Philipp Krahenbuhl 25 38 0 06 Apr 2020
Non-local Attention Optimized Deep Image Compression Haojie Liu Tong Chen Peiyao Guo Qiu Shen Xun Cao Yao Wang Zhan Ma 21 251 0 22 Apr 2019