Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2303.08888
Cited By
Stochastic Segmentation with Conditional Categorical Diffusion Models
15 March 2023
L. Zbinden
Lars Doorenbos
Theodoros Pissas
Adrian Thomas Huber
Raphael Sznitman
Pablo Márquez-Neila
DiffM
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Stochastic Segmentation with Conditional Categorical Diffusion Models"
12 / 12 papers shown
Title
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation
M. Valiuddin
R. V. Sloun
C.G.A. Viviers
Peter H. N. de With
Fons van der Sommen
UQCV
74
1
0
25 Nov 2024
Convergence of Score-Based Discrete Diffusion Models: A Discrete-Time Analysis
Zikun Zhang
Zixiang Chen
Quanquan Gu
DiffM
47
3
0
03 Oct 2024
Diffusion-based Blind Text Image Super-Resolution
Yuzhe Zhang
Jiawei Zhang
Hao Li
Zhouxia Wang
Luwei Hou
Dongqing Zou
Liheng Bian
27
8
0
13 Dec 2023
Contrastive Conditional Latent Diffusion for Audio-visual Segmentation
Yuxin Mao
Jing Zhang
Mochu Xiang
Yun-Qiu Lv
Yiran Zhong
Yuchao Dai
DiffM
24
28
0
31 Jul 2023
MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic Model
Junde Wu
Rao Fu
Huihui Fang
Yu Zhang
Yehui Yang
Haoyi Xiong
Huiying Liu
Yanwu Xu
MedIm
VLM
DiffM
98
233
0
01 Nov 2022
Diffusion Models in Vision: A Survey
Florinel-Alin Croitoru
Vlad Hondru
Radu Tudor Ionescu
M. Shah
DiffM
VLM
MedIm
186
1,098
0
10 Sep 2022
Semantic Segmentation by Early Region Proxy
Yifan Zhang
Bo Pang
Cewu Lu
ViT
40
29
0
26 Mar 2022
RePaint: Inpainting using Denoising Diffusion Probabilistic Models
Andreas Lugmayr
Martin Danelljan
Andrés Romero
F. I. F. Richard Yu
Radu Timofte
Luc Van Gool
DiffM
203
1,330
0
24 Jan 2022
Label-Efficient Semantic Segmentation with Diffusion Models
Dmitry Baranchuk
Ivan Rubachev
A. Voynov
Valentin Khrulkov
Artem Babenko
DiffM
VLM
187
508
0
06 Dec 2021
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
283
5,723
0
29 Apr 2021
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions
Emiel Hoogeboom
Didrik Nielsen
P. Jaini
Patrick Forré
Max Welling
DiffM
202
392
0
10 Feb 2021
Deep High-Resolution Representation Learning for Visual Recognition
Jingdong Wang
Ke Sun
Tianheng Cheng
Borui Jiang
Chaorui Deng
...
Yadong Mu
Mingkui Tan
Xinggang Wang
Wenyu Liu
Bin Xiao
190
3,480
0
20 Aug 2019
1