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Lossy Compression with Gaussian Diffusion

17 June 2022

Matthew D. Hoffman

Papers citing "Lossy Compression with Gaussian Diffusion"

50 / 56 papers shown

Title
Fast Training-free Perceptual Image Compression Ziran Zhu Tongda Xu Minye Huang Dailan He Xingtong Ge Xinjie Zhang Ling-Ling Li Yan Wang DiffM 17 0 0 19 Jun 2025
DiffO: Single-step Diffusion for Image Compression at Ultra-Low Bitrates Chanung Park J. Lee Jong Hwan Ko DiffM 15 0 0 19 Jun 2025
Synonymous Variational Inference for Perceptual Image Compression Zijian Liang K. Niu Changshuo Wang Jin Xu Ping Zhang 35 1 0 28 May 2025
Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion model Jonas Brenig Radu Timofte DiffM 56 0 0 19 May 2025
Ultra Lowrate Image Compression with Semantic Residual Coding and Compression-aware Diffusion Anle Ke Xu Zhang Tong Chen Ming Lu Chao Zhou Jiawen Gu Zhan Ma DiffM 70 0 0 13 May 2025
GIViC: Generative Implicit Video Compression Ge Gao Siyue Teng Tianhao Peng Fan Zhang David Bull DiffM VGen 79 0 0 25 Mar 2025
Optimal Neural Compressors for the Rate-Distortion-Perception Tradeoff Eric Lei Hamed Hassani Shirin Saeedi Bidokhti 158 2 0 21 Mar 2025
PerCoV2: Improved Ultra-Low Bit-Rate Perceptual Image Compression with Implicit Hierarchical Masked Image Modeling Nikolai Korber Eduard Kromer Andreas Siebert S. Hauke Daniel Mueller-Gritschneder Björn Schuller 94 0 0 12 Mar 2025
Lossy Compression with Pretrained Diffusion Models Jeremy Vonderfecht Feng Liu DiffM 155 2 0 20 Jan 2025
Progressive Compression with Universally Quantized Diffusion Models Yibo Yang Justus C. Will Stephan Mandt DiffM 139 2 0 14 Dec 2024
Enhancing Learned Image Compression via Cross Window-based Attention Priyanka Mudgal Feng Liu 107 0 0 28 Oct 2024
Edge-based Denoising Image Compression Ryugo Morita Hitoshi Nishimura Ko Watanabe Andreas Dengel Jinjia Zhou 71 0 0 17 Sep 2024
Diff-PCC: Diffusion-based Neural Compression for 3D Point Clouds Kai Liu Kang-Soo You Pan Gao DiffM 67 1 0 20 Aug 2024
PSC: Posterior Sampling-Based Compression Noam Elata T. Michaeli Michael Elad DiffM 104 0 0 13 Jul 2024
Applications of Generative AI (GAI) for Mobile and Wireless Networking: A Survey Thai-Hoc Vu Senthil Kumar Jagatheesaperumal Minh-Duong Nguyen Nguyen Van Huynh Sunghwan Kim Quoc-Viet Pham 94 13 0 30 May 2024
Universal Exact Compression of Differentially Private Mechanisms Yanxiao Liu Wei-Ning Chen Ayfer Özgür Cheuk Ting Li 90 2 0 28 May 2024
Controlling Rate, Distortion, and Realism: Towards a Single Comprehensive Neural Image Compression Model Shoma Iwai Tomo Miyazaki S. Omachi 88 12 0 27 May 2024
Leakage-Resilient and Carbon-Neutral Aggregation Featuring the Federated AI-enabled Critical Infrastructure Zehang Deng Ruoxi Sun Minhui Xue Sheng Wen S. Çamtepe Surya Nepal Yang Xiang 88 1 0 24 May 2024
Survey on Visual Signal Coding and Processing with Generative Models: Technologies, Standards and Optimization Zhibo Chen Heming Sun Li Zhang Fan Zhang 108 3 0 23 May 2024
Accelerating Relative Entropy Coding with Space Partitioning Jiajun He Gergely Flamich José Miguel Hernández-Lobato 67 1 0 20 May 2024
Some Notes on the Sample Complexity of Approximate Channel Simulation Gergely Flamich Lennie Wells 66 3 0 07 May 2024
Towards Extreme Image Compression with Latent Feature Guidance and Diffusion Prior Zhiyuan Li Yanhui Zhou Hao Wei Chenyang Ge Jingwen Jiang DiffM 89 15 0 29 Apr 2024
Diffusion-Aided Joint Source Channel Coding For High Realism Wireless Image Transmission Mingyu Yang Bowen Liu Boyang Wang Hun-Seok Kim DiffM 111 6 0 27 Apr 2024
The Rate-Distortion-Perception Trade-off: The Role of Private Randomness Yassine Hamdi Aaron B. Wagner Deniz Gündüz 71 10 0 01 Apr 2024
Laplacian-guided Entropy Model in Neural Codec with Blur-dissipated Synthesis Atefeh Khoshkhahtinat Ali Zafari P. Mehta Nasser M. Nasrabadi 67 5 0 24 Mar 2024
Enhancing the Rate-Distortion-Perception Flexibility of Learned Image Codecs with Conditional Diffusion Decoders Daniele Mari Simone Milani DiffM 59 0 0 05 Mar 2024
Neural Video Compression with Feature Modulation Jiahao Li Bin Li Yan Lu 101 75 0 27 Feb 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 101 18 0 17 Jan 2024
On the Computation of the Gaussian Rate-Distortion-Perception Function Giuseppe Serra Photios A. Stavrou Marios Kountouris 57 7 0 15 Nov 2023
Compression with Exact Error Distribution for Federated Learning Mahmoud Hegazy Rémi Leluc Cheuk Ting Li Hadrien Hendrikx FedML 63 11 0 31 Oct 2023
Towards image compression with perfect realism at ultra-low bitrates Marlene Careil Matthew Muckley Jakob Verbeek Stéphane Lathuilière DiffM 90 57 0 16 Oct 2023
Wasserstein Distortion: Unifying Fidelity and Realism Yang Qiu Aaron B. Wagner Johannes Ballé Lucas Theis 87 6 0 05 Oct 2023
EGIC: Enhanced Low-Bit-Rate Generative Image Compression Guided by Semantic Segmentation Nikolai Korber Eduard Kromer Andreas Siebert S. Hauke Daniel Mueller-Gritschneder Björn Schuller DiffM VLM 96 5 0 06 Sep 2023
Bridge Diffusion Model: bridge non-English language-native text-to-image diffusion model with English communities Shanyuan Liu Dawei Leng Yuhui Yin DiffM 61 7 0 02 Sep 2023
ECSIC: Epipolar Cross Attention for Stereo Image Compression Matthias Wödlinger J. Kotera M. Keglevic Jan Xu Robert Sablatnig 84 11 0 18 Jul 2023
Text + Sketch: Image Compression at Ultra Low Rates Eric Lei Yiugit Berkay Uslu Hamed Hassani Shirin Saeedi Bidokhti DiffM 75 50 0 04 Jul 2023
Just One Byte (per gradient): A Note on Low-Bandwidth Decentralized Language Model Finetuning Using Shared Randomness E. Zelikman Qian Huang Percy Liang Nick Haber Noah D. Goodman 97 16 0 16 Jun 2023
Compression with Bayesian Implicit Neural Representations Zongyu Guo Gergely Flamich Jiajun He Zhibo Chen José Miguel Hernández-Lobato 117 25 0 30 May 2023
High-Fidelity Image Compression with Score-based Generative Models Emiel Hoogeboom E. Agustsson Fabian Mentzer Luca Versari G. Toderici Lucas Theis DiffM 96 44 0 26 May 2023
GSURE-Based Diffusion Model Training with Corrupted Data Bahjat Kawar Noam Elata T. Michaeli Michael Elad DiffM 150 31 0 22 May 2023
Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning Cheng Lu Huayu Chen Jianfei Chen Hang Su Chongxuan Li Jun Zhu DiffM OffRL 143 75 0 25 Apr 2023
Editing Implicit Assumptions in Text-to-Image Diffusion Models Hadas Orgad Bahjat Kawar Yonatan Belinkov DiffM 110 91 0 14 Mar 2023
Improving Statistical Fidelity for Neural Image Compression with Implicit Local Likelihood Models Matthew Muckley Alaaeldin El-Nouby Karen Ullrich Hervé Jégou Jakob Verbeek 132 55 0 26 Jan 2023
Modality-Agnostic Variational Compression of Implicit Neural Representations Jonathan Richard Schwarz Jihoon Tack Yee Whye Teh Jaeho Lee Jinwoo Shin 86 26 0 23 Jan 2023
A Residual Diffusion Model for High Perceptual Quality Codec Augmentation Noor Fathima Ghouse Jens Petersen Auke Wiggers Tianlin Xu Guillaume Sautière DiffM 107 22 0 13 Jan 2023
Multi-Realism Image Compression with a Conditional Generator E. Agustsson David C. Minnen G. Toderici Fabian Mentzer 101 75 0 28 Dec 2022
Latent Discretization for Continuous-time Sequence Compression Ricky T. Q. Chen Matt Le Matthew Muckley Maximilian Nickel Karen Ullrich 77 0 0 28 Dec 2022
Fundamental Limits of Two-layer Autoencoders, and Achieving Them with Gradient Methods Aleksandr Shevchenko Kevin Kögler Hamed Hassani Marco Mondelli DRL MLT 70 2 0 27 Dec 2022
Extreme Generative Image Compression by Learning Text Embedding from Diffusion Models Zhihong Pan Xiaoxia Zhou Hao Tian DiffM 75 23 0 14 Nov 2022
DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models Cheng Lu Yuhao Zhou Fan Bao Jianfei Chen Chongxuan Li Jun Zhu DiffM 252 616 0 02 Nov 2022