Compression with Flows via Local Bits-Back Coding

Compression with Flows via Local Bits-Back Coding

21 May 2019

Pieter Abbeel

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

18 / 18 papers shown

Title
Likelihood Training of Cascaded Diffusion Models via Hierarchical Volume-preserving Maps Henry Li Ronen Basri Y. Kluger DiffM 59 2 0 13 Jan 2025
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
Extreme-scale Talking-Face Video Upsampling with Audio-Visual Priors Sindhu B. Hegde Rudrabha Mukhopadhyay Vinay P. Namboodiri C. V. Jawahar CVBM 16 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
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 15 20 0 23 Nov 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 27 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
Variational Diffusion Models Diederik P. Kingma Tim Salimans Ben Poole Jonathan Ho DiffM 88 1,063 0 01 Jul 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
Maximum Likelihood Training of Score-Based Diffusion Models Yang Song Conor Durkan Iain Murray Stefano Ermon DiffM 64 626 0 22 Jan 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 19 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 59 0 22 Jun 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 272 2,552 0 25 Jan 2016