On the Posterior Distribution in Denoising: Application to Uncertainty Quantification

24 September 2023

Papers citing "On the Posterior Distribution in Denoising: Application to Uncertainty Quantification"

24 / 24 papers shown

Title
Conditional Distribution Quantization in Machine Learning Blaise Delattre Sylvain Delattre Alexandre Verine Alexandre Allauzen 161 0 0 11 Feb 2025
Free Hunch: Denoiser Covariance Estimation for Diffusion Models Without Extra Costs Severi Rissanen Markus Heinonen Arno Solin DiffM 359 3 0 15 Oct 2024
Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model Yinhuai Wang Jiwen Yu Jian Zhang DiffM 95 450 0 01 Dec 2022
Conffusion: Confidence Intervals for Diffusion Models Eliahu Horwitz Yedid Hoshen DiffM 45 28 0 17 Nov 2022
GENIE: Higher-Order Denoising Diffusion Solvers Tim Dockhorn Arash Vahdat Karsten Kreis DiffM 79 111 0 11 Oct 2022
Semantic uncertainty intervals for disentangled latent spaces S. Sankaranarayanan Anastasios Nikolas Angelopoulos Stephen Bates Yaniv Romano Phillip Isola UQCV 96 21 0 20 Jul 2022
Maximum Likelihood Training for Score-Based Diffusion ODEs by High-Order Denoising Score Matching Cheng Lu Kaiwen Zheng Fan Bao Jianfei Chen Chongxuan Li Jun Zhu DiffM 94 85 0 16 Jun 2022
Image-to-Image Regression with Distribution-Free Uncertainty Quantification and Applications in Imaging Anastasios Nikolas Angelopoulos Amit Kohli Stephen Bates Michael I. Jordan Jitendra Malik Thayer Alshaabi Srigokul Upadhyayula Yaniv Romano UQCV OOD 77 95 0 10 Feb 2022
Label-Efficient Semantic Segmentation with Diffusion Models Dmitry Baranchuk Ivan Rubachev A. Voynov Valentin Khrulkov Artem Babenko DiffM VLM 272 535 0 06 Dec 2021
SwinIR: Image Restoration Using Swin Transformer Christos Sakaridis Jie Cao Guolei Sun Peng Sun Luc Van Gool Radu Timofte ViT 187 2,917 0 23 Aug 2021
Plug-and-Play Image Restoration with Deep Denoiser Prior Peng Sun Yawei Li W. Zuo Lei Zhang Luc Van Gool Radu Timofte DiffM SupR 95 801 0 31 Aug 2020
Training Generative Adversarial Networks with Limited Data Tero Karras M. Aittala Janne Hellsten S. Laine J. Lehtinen Timo Aila GAN 154 1,885 0 11 Jun 2020
High-Order Langevin Diffusion Yields an Accelerated MCMC Algorithm Wenlong Mou Yian Ma Martin J. Wainwright Peter L. Bartlett Michael I. Jordan DiffM 45 85 0 28 Aug 2019
MaskGAN: Towards Diverse and Interactive Facial Image Manipulation Cheng-Han Lee Ziwei Liu Lingyun Wu Ping Luo CVBM 155 1,076 0 27 Jul 2019
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 258 3,902 0 12 Jul 2019
A Poisson-Gaussian Denoising Dataset with Real Fluorescence Microscopy Images Yide Zhang Yinhao Zhu Evan L. Nichols Qingfei Wang Siyuan Zhang Cody J. Smith S. Howard 64 182 0 26 Dec 2018
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 574 10,555 0 12 Dec 2018
Noise2Void - Learning Denoising from Single Noisy Images Alexander Krull T. Buchholz Florian Jug 103 1,102 0 27 Nov 2018
Higher Order Langevin Monte Carlo Algorithm Sotirios Sabanis Ying Zhang 59 23 0 02 Aug 2018
Enhanced Deep Residual Networks for Single Image Super-Resolution Bee Lim Sanghyun Son Heewon Kim Seungjun Nah Kyoung Mu Lee SupR 173 5,908 0 10 Jul 2017
Learning Deep CNN Denoiser Prior for Image Restoration Peng Sun W. Zuo Shuhang Gu Lei Zhang SupR 151 1,844 0 11 Apr 2017
Gaussian Error Linear Units (GELUs) Dan Hendrycks Kevin Gimpel 169 5,000 0 27 Jun 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 821 9,318 0 06 Jun 2015
Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Narain Sohl-Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli SyDa DiffM 301 6,949 0 12 Mar 2015