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Lossy Compression with Gaussian Diffusion

Lossy Compression with Gaussian Diffusion

17 June 2022
Lucas Theis
Tim Salimans
Matthew D. Hoffman
Fabian Mentzer
    DiffM
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Papers citing "Lossy Compression with Gaussian Diffusion"

50 / 57 papers shown
Title
Ultra Lowrate Image Compression with Semantic Residual Coding and Compression-aware Diffusion
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
32
0
0
13 May 2025
GIViC: Generative Implicit Video Compression
GIViC: Generative Implicit Video Compression
Ge Gao
Siyue Teng
Tianhao Peng
Fan Zhang
David Bull
DiffM
VGen
48
0
0
25 Mar 2025
Optimal Neural Compressors for the Rate-Distortion-Perception Tradeoff
Optimal Neural Compressors for the Rate-Distortion-Perception Tradeoff
Eric Lei
Hamed Hassani
Shirin Saeedi Bidokhti
81
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
56
0
0
12 Mar 2025
Lossy Compression with Pretrained Diffusion Models
Jeremy Vonderfecht
Feng Liu
DiffM
97
1
0
20 Jan 2025
Progressive Compression with Universally Quantized Diffusion Models
Progressive Compression with Universally Quantized Diffusion Models
Yibo Yang
Justus C. Will
Stephan Mandt
DiffM
77
2
0
14 Dec 2024
Enhancing Learned Image Compression via Cross Window-based Attention
Enhancing Learned Image Compression via Cross Window-based Attention
Priyanka Mudgal
Feng Liu
27
0
0
28 Oct 2024
Edge-based Denoising Image Compression
Edge-based Denoising Image Compression
Ryugo Morita
Hitoshi Nishimura
Ko Watanabe
Andreas Dengel
Jinjia Zhou
34
0
0
17 Sep 2024
Diff-PCC: Diffusion-based Neural Compression for 3D Point Clouds
Diff-PCC: Diffusion-based Neural Compression for 3D Point Clouds
Kai Liu
Kang-Soo You
Pan Gao
DiffM
34
0
0
20 Aug 2024
PSC: Posterior Sampling-Based Compression
PSC: Posterior Sampling-Based Compression
Noam Elata
T. Michaeli
Michael Elad
DiffM
60
1
0
13 Jul 2024
Applications of Generative AI (GAI) for Mobile and Wireless Networking:
  A Survey
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
Viet Quoc Pham
39
8
0
30 May 2024
Universal Exact Compression of Differentially Private Mechanisms
Universal Exact Compression of Differentially Private Mechanisms
Yanxiao Liu
Wei-Ning Chen
Ayfer Özgür
Cheuk Ting Li
42
2
0
28 May 2024
Controlling Rate, Distortion, and Realism: Towards a Single
  Comprehensive Neural Image Compression Model
Controlling Rate, Distortion, and Realism: Towards a Single Comprehensive Neural Image Compression Model
Shoma Iwai
Tomo Miyazaki
S. Omachi
47
11
0
27 May 2024
Leakage-Resilient and Carbon-Neutral Aggregation Featuring the Federated
  AI-enabled Critical Infrastructure
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
45
1
0
24 May 2024
Survey on Visual Signal Coding and Processing with Generative Models:
  Technologies, Standards and Optimization
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
Accelerating Relative Entropy Coding with Space Partitioning
Accelerating Relative Entropy Coding with Space Partitioning
Jiajun He
Gergely Flamich
José Miguel Hernández-Lobato
28
1
0
20 May 2024
Some Notes on the Sample Complexity of Approximate Channel Simulation
Some Notes on the Sample Complexity of Approximate Channel Simulation
Gergely Flamich
Lennie Wells
32
3
0
07 May 2024
Towards Extreme Image Compression with Latent Feature Guidance and
  Diffusion Prior
Towards Extreme Image Compression with Latent Feature Guidance and Diffusion Prior
Zhiyuan Li
Yanhui Zhou
Hao Wei
Chenyang Ge
Jingwen Jiang
DiffM
33
11
0
29 Apr 2024
Diffusion-Aided Joint Source Channel Coding For High Realism Wireless Image Transmission
Diffusion-Aided Joint Source Channel Coding For High Realism Wireless Image Transmission
Mingyu Yang
Bowen Liu
Boyang Wang
Hun-Seok Kim
DiffM
55
5
0
27 Apr 2024
The Rate-Distortion-Perception Trade-off: The Role of Private Randomness
The Rate-Distortion-Perception Trade-off: The Role of Private Randomness
Yassine Hamdi
Aaron B. Wagner
Deniz Gündüz
35
9
0
01 Apr 2024
Laplacian-guided Entropy Model in Neural Codec with Blur-dissipated
  Synthesis
Laplacian-guided Entropy Model in Neural Codec with Blur-dissipated Synthesis
Atefeh Khoshkhahtinat
Ali Zafari
P. Mehta
Nasser M. Nasrabadi
46
4
0
24 Mar 2024
Enhancing the Rate-Distortion-Perception Flexibility of Learned Image
  Codecs with Conditional Diffusion Decoders
Enhancing the Rate-Distortion-Perception Flexibility of Learned Image Codecs with Conditional Diffusion Decoders
Daniele Mari
Simone Milani
DiffM
29
0
0
05 Mar 2024
Neural Video Compression with Feature Modulation
Neural Video Compression with Feature Modulation
Jiahao Li
Bin Li
Yan Lu
29
63
0
27 Feb 2024
Idempotence and Perceptual Image Compression
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
43
15
0
17 Jan 2024
On the Computation of the Gaussian Rate-Distortion-Perception Function
On the Computation of the Gaussian Rate-Distortion-Perception Function
Giuseppe Serra
Photios A. Stavrou
Marios Kountouris
19
7
0
15 Nov 2023
Compression with Exact Error Distribution for Federated Learning
Compression with Exact Error Distribution for Federated Learning
Mahmoud Hegazy
Rémi Leluc
Cheuk Ting Li
Aymeric Dieuleveut
FedML
18
9
0
31 Oct 2023
Towards image compression with perfect realism at ultra-low bitrates
Towards image compression with perfect realism at ultra-low bitrates
Marlene Careil
Matthew Muckley
Jakob Verbeek
Stéphane Lathuilière
DiffM
32
45
0
16 Oct 2023
Wasserstein Distortion: Unifying Fidelity and Realism
Wasserstein Distortion: Unifying Fidelity and Realism
Yang Qiu
Aaron B. Wagner
Johannes Ballé
Lucas Theis
38
5
0
05 Oct 2023
EGIC: Enhanced Low-Bit-Rate Generative Image Compression Guided by
  Semantic Segmentation
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
29
4
0
06 Sep 2023
Bridge Diffusion Model: bridge non-English language-native text-to-image
  diffusion model with English communities
Bridge Diffusion Model: bridge non-English language-native text-to-image diffusion model with English communities
Shanyuan Liu
Dawei Leng
Yuhui Yin
DiffM
24
7
0
02 Sep 2023
ECSIC: Epipolar Cross Attention for Stereo Image Compression
ECSIC: Epipolar Cross Attention for Stereo Image Compression
Matthias Wödlinger
J. Kotera
M. Keglevic
Jan Xu
Robert Sablatnig
27
10
0
18 Jul 2023
Text + Sketch: Image Compression at Ultra Low Rates
Text + Sketch: Image Compression at Ultra Low Rates
Eric Lei
Yiugit Berkay Uslu
Hamed Hassani
Shirin Saeedi Bidokhti
DiffM
23
38
0
04 Jul 2023
Just One Byte (per gradient): A Note on Low-Bandwidth Decentralized
  Language Model Finetuning Using Shared Randomness
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
64
14
0
16 Jun 2023
Compression with Bayesian Implicit Neural Representations
Compression with Bayesian Implicit Neural Representations
Zongyu Guo
Gergely Flamich
Jiajun He
Zhibo Chen
José Miguel Hernández-Lobato
37
25
0
30 May 2023
High-Fidelity Image Compression with Score-based Generative Models
High-Fidelity Image Compression with Score-based Generative Models
Emiel Hoogeboom
E. Agustsson
Fabian Mentzer
Luca Versari
G. Toderici
Lucas Theis
DiffM
21
38
0
26 May 2023
GSURE-Based Diffusion Model Training with Corrupted Data
GSURE-Based Diffusion Model Training with Corrupted Data
Bahjat Kawar
Noam Elata
T. Michaeli
Michael Elad
DiffM
37
30
0
22 May 2023
Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling
  in Offline Reinforcement Learning
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
27
58
0
25 Apr 2023
Editing Implicit Assumptions in Text-to-Image Diffusion Models
Editing Implicit Assumptions in Text-to-Image Diffusion Models
Hadas Orgad
Bahjat Kawar
Yonatan Belinkov
DiffM
30
87
0
14 Mar 2023
Improving Statistical Fidelity for Neural Image Compression with
  Implicit Local Likelihood Models
Improving Statistical Fidelity for Neural Image Compression with Implicit Local Likelihood Models
Matthew Muckley
Alaaeldin El-Nouby
Karen Ullrich
Hervé Jégou
Jakob Verbeek
19
45
0
26 Jan 2023
Modality-Agnostic Variational Compression of Implicit Neural
  Representations
Modality-Agnostic Variational Compression of Implicit Neural Representations
Jonathan Richard Schwarz
Jihoon Tack
Yee Whye Teh
Jaeho Lee
Jinwoo Shin
34
25
0
23 Jan 2023
A Residual Diffusion Model for High Perceptual Quality Codec
  Augmentation
A Residual Diffusion Model for High Perceptual Quality Codec Augmentation
Noor Fathima Ghouse
Jens Petersen
Auke Wiggers
Tianlin Xu
Guillaume Sautière
DiffM
32
22
0
13 Jan 2023
Multi-Realism Image Compression with a Conditional Generator
Multi-Realism Image Compression with a Conditional Generator
E. Agustsson
David C. Minnen
G. Toderici
Fabian Mentzer
17
68
0
28 Dec 2022
Latent Discretization for Continuous-time Sequence Compression
Latent Discretization for Continuous-time Sequence Compression
Ricky T. Q. Chen
Matt Le
Matthew Muckley
Maximilian Nickel
Karen Ullrich
19
0
0
28 Dec 2022
Fundamental Limits of Two-layer Autoencoders, and Achieving Them with
  Gradient Methods
Fundamental Limits of Two-layer Autoencoders, and Achieving Them with Gradient Methods
A. Shevchenko
Kevin Kögler
Hamed Hassani
Marco Mondelli
DRL
MLT
24
2
0
27 Dec 2022
Extreme Generative Image Compression by Learning Text Embedding from
  Diffusion Models
Extreme Generative Image Compression by Learning Text Embedding from Diffusion Models
Zhihong Pan
Xiaoxia Zhou
Hao Tian
DiffM
25
22
0
14 Nov 2022
DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models
DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models
Cheng Lu
Yuhao Zhou
Fan Bao
Jianfei Chen
Chongxuan Li
Jun Zhu
DiffM
56
555
0
02 Nov 2022
Imagic: Text-Based Real Image Editing with Diffusion Models
Imagic: Text-Based Real Image Editing with Diffusion Models
Bahjat Kawar
Shiran Zada
Oran Lang
Omer Tov
Hui-Tang Chang
Tali Dekel
Inbar Mosseri
Michal Irani
11
1,052
0
17 Oct 2022
Lossy Image Compression with Conditional Diffusion Models
Lossy Image Compression with Conditional Diffusion Models
Ruihan Yang
Stephan Mandt
DiffM
11
128
0
14 Sep 2022
Blurring Diffusion Models
Blurring Diffusion Models
Emiel Hoogeboom
Tim Salimans
DiffM
34
76
0
12 Sep 2022
A Survey on Generative Diffusion Model
A Survey on Generative Diffusion Model
Hanqun Cao
Cheng Tan
Zhangyang Gao
Yilun Xu
Guangyong Chen
Pheng-Ann Heng
Stan Z. Li
MedIm
37
207
0
06 Sep 2022
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