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BayesDiff: Estimating Pixel-wise Uncertainty in Diffusion via Bayesian
  Inference

BayesDiff: Estimating Pixel-wise Uncertainty in Diffusion via Bayesian Inference

17 October 2023
Siqi Kou
Lei Gan
Dequan Wang
Chongxuan Li
Zhijie Deng
    BDL
    DiffM
ArXivPDFHTML

Papers citing "BayesDiff: Estimating Pixel-wise Uncertainty in Diffusion via Bayesian Inference"

9 / 9 papers shown
Title
Unified Uncertainty-Aware Diffusion for Multi-Agent Trajectory Modeling
Unified Uncertainty-Aware Diffusion for Multi-Agent Trajectory Modeling
Guillem Capellera
Antonio Rubio
Luis Ferraz
Antonio Agudo
45
1
0
24 Mar 2025
Temporal Score Analysis for Understanding and Correcting Diffusion Artifacts
Temporal Score Analysis for Understanding and Correcting Diffusion Artifacts
Yu Cao
Zengqun Zhao
Ioannis Patras
Shaogang Gong
DiffM
48
0
0
20 Mar 2025
Generative Uncertainty in Diffusion Models
Generative Uncertainty in Diffusion Models
Metod Jazbec
Eliot Wong-Toi
Guoxuan Xia
Dan Zhang
Eric T. Nalisnick
Stephan Mandt
DiffM
43
0
0
28 Feb 2025
Trustworthy image-to-image translation: evaluating uncertainty calibration in unpaired training scenarios
Trustworthy image-to-image translation: evaluating uncertainty calibration in unpaired training scenarios
Ciaran Bench
Emir Ahmed
Spencer A. Thomas
MedIm
36
0
0
29 Jan 2025
Diffusion Model Guided Sampling with Pixel-Wise Aleatoric Uncertainty Estimation
Michele De Vita
Vasileios Belagiannis
DiffM
76
1
0
29 Nov 2024
High Frequency Matters: Uncertainty Guided Image Compression with Wavelet Diffusion
High Frequency Matters: Uncertainty Guided Image Compression with Wavelet Diffusion
Juan Song
Jiaxiang He
Mingtao Feng
Keyan Wang
Yunsong Li
DiffM
41
4
0
17 Jul 2024
Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI
Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI
Theodore Papamarkou
Maria Skoularidou
Konstantina Palla
Laurence Aitchison
Julyan Arbel
...
David Rügamer
Yee Whye Teh
Max Welling
Andrew Gordon Wilson
Ruqi Zhang
UQCV
BDL
35
27
0
01 Feb 2024
RePaint: Inpainting using Denoising Diffusion Probabilistic Models
RePaint: Inpainting using Denoising Diffusion Probabilistic Models
Andreas Lugmayr
Martin Danelljan
Andrés Romero
F. I. F. Richard Yu
Radu Timofte
Luc Van Gool
DiffM
211
1,353
0
24 Jan 2022
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam
Mohammad Emtiyaz Khan
Didrik Nielsen
Voot Tangkaratt
Wu Lin
Y. Gal
Akash Srivastava
ODL
74
266
0
13 Jun 2018
1