IDF++: Analyzing and Improving Integer Discrete Flows for Lossless Compression

22 June 2020

Papers citing "IDF++: Analyzing and Improving Integer Discrete Flows for Lossless Compression"

39 / 39 papers shown

Title
WISE: A Framework for Gigapixel Whole-Slide-Image Lossless Compression Yu Mao Jun Wang Nan Guan Chun Jason Xue 57 0 0 23 Mar 2025
Deep Robust Reversible Watermarking Jiale Chen W. Wang Chongyang Shi Li Dong Yuanman Li Xiping Hu 38 0 0 04 Mar 2025
Survey on Visual Signal Coding and Processing with Generative Models: Technologies, Standards and Optimization Zhibo Chen Heming Sun Li Zhang Fan Zhang 40 3 0 23 May 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 36 5 0 09 Mar 2024
Deep Generative Models for Detector Signature Simulation: A Taxonomic Review Baran Hashemi Claudius Krause 30 16 0 15 Dec 2023
Unified learning-based lossy and lossless JPEG recompression Jianghui Zhang Yuanyuan Wang Lina Guo Jixiang Luo Tongda Xu Yan Wang Zhi Wang Hongwei Qin 11 3 0 05 Dec 2023
Mixed Variational Flows for Discrete Variables Gian Carlo Diluvi Benjamin Bloem-Reddy Trevor Campbell 30 0 0 29 Aug 2023
Random Edge Coding: One-Shot Bits-Back Coding of Large Labeled Graphs Daniel de Souza Severo James Townsend Ashish Khisti Alireza Makhzani 27 2 0 16 May 2023
Verified Reversible Programming for Verified Lossless Compression James Townsend Jan Willem van de Meent 19 0 0 02 Nov 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 24 22 0 11 Sep 2022
Multi-Scale Architectures Matter: On the Adversarial Robustness of Flow-based Lossless Compression Yitong Xia B. Chen Yan Feng Tian-shuo Ge AI4CE 14 0 0 26 Aug 2022
Discrete Tree Flows via Tree-Structured Permutations Mai Elkady Jim Lim David I. Inouye TPM 14 2 0 04 Jul 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
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 30 6 0 30 Mar 2022
A Fast Transformer-based General-Purpose Lossless Compressor Yushun Mao Yufei Cui Tei-Wei Kuo C. Xue ViT AI4CE 18 28 0 30 Mar 2022
Semi-Discrete Normalizing Flows through Differentiable Tessellation Ricky T. Q. Chen Brandon Amos Maximilian Nickel 24 10 0 14 Mar 2022
Parallel Neural Local Lossless Compression Mingtian Zhang James Townsend Ning Kang David Barber 25 7 0 13 Jan 2022
Unleashing Transformers: Parallel Token Prediction with Discrete Absorbing Diffusion for Fast High-Resolution Image Generation from Vector-Quantized Codes Sam Bond-Taylor P. Hessey Hiroshi Sasaki T. Breckon Chris G. Willcocks DiffM 25 71 0 24 Nov 2021
Lossless Compression with Probabilistic Circuits Anji Liu Stephan Mandt Guy Van den Broeck TPM 9 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 11 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 25 30 0 01 Nov 2021
Autoregressive Diffusion Models Emiel Hoogeboom Alexey A. Gritsenko Jasmijn Bastings Ben Poole Rianne van den Berg Tim Salimans DiffM 37 142 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
L3C-Stereo: Lossless Compression for Stereo Images Zihao Huang Zhe Sun Feng Duan A. Cichocki Peiying Ruan C. Li 3DV 13 8 0 21 Aug 2021
Discrete Denoising Flows Alexandra Lindt Emiel Hoogeboom BDL DRL 20 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
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 30 37 0 30 Mar 2021
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models Sam Bond-Taylor Adam Leach Yang Long Chris G. Willcocks VLM TPM 36 478 0 08 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
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions Emiel Hoogeboom Didrik Nielsen P. Jaini Patrick Forré Max Welling DiffM 207 394 0 10 Feb 2021
Learning Non-linear Wavelet Transformation via Normalizing Flow Shuo-Hui Li 11 3 0 27 Jan 2021
General Invertible Transformations for Flow-based Generative Modeling Jakub M. Tomczak DRL AI4CE 12 3 0 30 Nov 2020
Learning Better Lossless Compression Using Lossy Compression Fabian Mentzer Luc Van Gool Michael Tschannen 68 69 0 23 Mar 2020
Normalizing Flows for Probabilistic Modeling and Inference George Papamakarios Eric T. Nalisnick Danilo Jimenez Rezende S. Mohamed Balaji Lakshminarayanan TPM AI4CE 31 1,623 0 05 Dec 2019
A RAD approach to deep mixture models Laurent Dinh Jascha Narain Sohl-Dickstein Hugo Larochelle Razvan Pascanu 6 45 0 18 Mar 2019
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 233 2,547 0 25 Jan 2016