v1v2 (latest)

High Frequency Matters: Uncertainty Guided Image Compression with Wavelet Diffusion

17 July 2024

Papers citing "High Frequency Matters: Uncertainty Guided Image Compression with Wavelet Diffusion"

38 / 38 papers shown

Title
Seeing the Unseen: How EMoE Unveils Bias in Text-to-Image Diffusion Models Lucas Berry Axel Brando Wei-Di Chang Juan Camilo Gamboa Higuera David Meger DiffM 54 0 0 19 May 2025
FIPER: Generalizable Factorized Features for Robust Low-Level Vision Models Yang-Che Sun Cheng Yu Yeo Ernie Chu Jun-Cheng Chen Yu-Lun Liu SupR 118 0 0 23 Oct 2024
Towards Extreme Image Compression with Latent Feature Guidance and Diffusion Prior Zhiyuan Li Yanhui Zhou Hao Wei Chenyang Ge Jingwen Jiang DiffM 57 13 0 29 Apr 2024
BayesDiff: Estimating Pixel-wise Uncertainty in Diffusion via Bayesian Inference Siqi Kou Lei Gan Dequan Wang Chongxuan Li Zhijie Deng BDL DiffM 52 7 0 17 Oct 2023
Deep Unfolding Network for Image Compressed Sensing by Content-adaptive Gradient Updating and Deformation-invariant Non-local Modeling Wenxue Cui Xiaopeng Fan Jian Zhang Debin Zhao 115 9 0 16 Oct 2023
Exploring Resolution Fields for Scalable Image Compression with Uncertainty Guidance Dongyi Zhang Feng Li Man Liu Runmin Cong H. Bai Ming Wang Yao-Min Zhao 56 8 0 15 Jun 2023
Low-Light Image Enhancement with Wavelet-based Diffusion Models Hailin Jiang Ao Luo Songchen Han Haoqiang Fan Shuaicheng Liu DiffM 69 144 0 01 Jun 2023
Compression with Bayesian Implicit Neural Representations Zongyu Guo Gergely Flamich Jiajun He Zhibo Chen José Miguel Hernández-Lobato 82 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 63 42 0 26 May 2023
LLIC: Large Receptive Field Transform Coding with Adaptive Weights for Learned Image Compression Wei Jiang Peirong Ning Jiayu Yang Yongqi Zhai Feng Gao Ronggang Wang 110 7 0 19 Apr 2023
Waving Goodbye to Low-Res: A Diffusion-Wavelet Approach for Image Super-Resolution Brian B. Moser Stanislav Frolov Federico Raue Sebastián M. Palacio Andreas Dengel 74 16 0 04 Apr 2023
Learned Image Compression with Mixed Transformer-CNN Architectures Jinming Liu Heming Sun J. Katto 88 237 0 27 Mar 2023
ResDiff: Combining CNN and Diffusion Model for Image Super-Resolution Shuyao Shang Zhengyang Shan Guangxing Liu LunQian Wang XingHua Wang Zekai Zhang Jingling Zhang DiffM 97 90 0 15 Mar 2023
A Residual Diffusion Model for High Perceptual Quality Codec Augmentation Noor Fathima Ghouse Jens Petersen Auke Wiggers Tianlin Xu Guillaume Sautière DiffM 53 22 0 13 Jan 2023
Multi-Realism Image Compression with a Conditional Generator E. Agustsson David C. Minnen G. Toderici Fabian Mentzer 69 73 0 28 Dec 2022
Extreme Generative Image Compression by Learning Text Embedding from Diffusion Models Zhihong Pan Xiaoxia Zhou Hao Tian DiffM 61 23 0 14 Nov 2022
Lossy Image Compression with Conditional Diffusion Models Ruihan Yang Stephan Mandt DiffM 54 134 0 14 Sep 2022
RePaint: Inpainting using Denoising Diffusion Probabilistic Models Andreas Lugmayr Martin Danelljan Andrés Romero Feng Yu Radu Timofte Luc Van Gool DiffM 352 1,418 0 24 Jan 2022
Global Attention Mechanism: Retain Information to Enhance Channel-Spatial Interactions Yichao Liu Zongru Shao Nico Hoffmann 53 475 0 10 Dec 2021
Deblurring via Stochastic Refinement Jay Whang M. Delbracio Hossein Talebi Chitwan Saharia A. Dimakis P. Milanfar DiffM 78 274 0 05 Dec 2021
Palette: Image-to-Image Diffusion Models Chitwan Saharia William Chan Huiwen Chang Chris A. Lee Jonathan Ho Tim Salimans David J. Fleet Mohammad Norouzi DiffM VLM 484 1,645 0 10 Nov 2021
Laplace Redux -- Effortless Bayesian Deep Learning Erik A. Daxberger Agustinus Kristiadi Alexander Immer Runa Eschenhagen Matthias Bauer Philipp Hennig BDL UQCV 221 315 0 28 Jun 2021
CompressAI: a PyTorch library and evaluation platform for end-to-end compression research Jean Bégaint Fabien Racapé Simon Feltman Akshay Pushparaja VLM 63 426 0 05 Nov 2020
Channel-wise Autoregressive Entropy Models for Learned Image Compression David C. Minnen Saurabh Singh 69 412 0 17 Jul 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 669 18,276 0 19 Jun 2020
High-Fidelity Generative Image Compression Fabian Mentzer G. Toderici Michael Tschannen E. Agustsson 94 473 0 17 Jun 2020
Image Quality Assessment: Unifying Structure and Texture Similarity Keyan Ding Kede Ma Shiqi Wang Eero P. Simoncelli 106 787 0 16 Apr 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 523 42,559 0 03 Dec 2019
Variational Bayesian Monte Carlo Luigi Acerbi BDL 50 65 0 12 Oct 2018
Joint Autoregressive and Hierarchical Priors for Learned Image Compression David C. Minnen Johannes Ballé G. Toderici 79 1,277 0 08 Sep 2018
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric Richard Y. Zhang Phillip Isola Alexei A. Efros Eli Shechtman Oliver Wang EGVM 377 11,877 0 11 Jan 2018
End-to-end Optimized Image Compression Johannes Ballé Valero Laparra Eero P. Simoncelli DRL 96 1,713 0 05 Nov 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,322 0 10 Dec 2015
Density Modeling of Images using a Generalized Normalization Transformation Johannes Ballé Valero Laparra Eero P. Simoncelli 47 390 0 19 Nov 2015
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 1.1K 15,815 0 02 Nov 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 833 9,345 0 06 Jun 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.0K 150,260 0 22 Dec 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 455 16,923 0 20 Dec 2013