ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2303.01469
  4. Cited By
Consistency Models
v1v2 (latest)

Consistency Models

2 March 2023
Yang Song
Prafulla Dhariwal
Mark Chen
Ilya Sutskever
    VLMDiffM
ArXiv (abs)PDFHTML

Papers citing "Consistency Models"

20 / 220 papers shown
Title
Elucidating the solution space of extended reverse-time SDE for diffusion models
Elucidating the solution space of extended reverse-time SDE for diffusion models
Qinpeng Cui
Xinyi Zhang
Zongqing Lu
Qingmin Liao
DiffM
103
6
0
12 Sep 2023
CaloClouds II: Ultra-Fast Geometry-Independent Highly-Granular
  Calorimeter Simulation
CaloClouds II: Ultra-Fast Geometry-Independent Highly-Granular Calorimeter Simulation
E. Buhmann
F. Gaede
Gregor Kasieczka
A. Korol
W. Korcari
K. Krüger
Peter McKeown
DiffM
83
26
0
11 Sep 2023
PC-Droid: Faster diffusion and improved quality for particle cloud
  generation
PC-Droid: Faster diffusion and improved quality for particle cloud generation
Matthew Leigh
Debasish Sengupta
J. A. Raine
Guillaume Quétant
T. Golling
DiffM
89
14
0
13 Jul 2023
DiffAug: A Diffuse-and-Denoise Augmentation for Training Robust
  Classifiers
DiffAug: A Diffuse-and-Denoise Augmentation for Training Robust Classifiers
Chandramouli Shama Sastry
Sri Harsha Dumpala
Sageev Oore
71
2
0
15 Jun 2023
Fast Diffusion Model
Fast Diffusion Model
Zike Wu
Pan Zhou
Kenji Kawaguchi
Hanwang Zhang
DiffM
90
22
0
12 Jun 2023
Multi-Architecture Multi-Expert Diffusion Models
Multi-Architecture Multi-Expert Diffusion Models
Yunsung Lee
Jin-Young Kim
Hyojun Go
Myeongho Jeong
Shinhyeok Oh
Seungtaek Choi
DiffM
106
31
0
08 Jun 2023
On the Design Fundamentals of Diffusion Models: A Survey
On the Design Fundamentals of Diffusion Models: A Survey
Ziyi Chang
George Alex Koulieris
Hyung Jin Chang
Hubert P. H. Shum
DiffM
183
56
0
07 Jun 2023
The Surprising Effectiveness of Diffusion Models for Optical Flow and
  Monocular Depth Estimation
The Surprising Effectiveness of Diffusion Models for Optical Flow and Monocular Depth Estimation
Saurabh Saxena
Charles Herrmann
Junhwa Hur
Abhishek Kar
Mohammad Norouzi
Deqing Sun
David J. Fleet
DiffM
114
85
0
02 Jun 2023
Intelligent Grimm -- Open-ended Visual Storytelling via Latent Diffusion
  Models
Intelligent Grimm -- Open-ended Visual Storytelling via Latent Diffusion Models
Chang-rui Liu
Haoning Wu
Yujie Zhong
Xiaoyu Zhang
Yanfeng Wang
Weidi Xie
DiffMVLM
154
44
0
01 Jun 2023
Dissecting Arbitrary-scale Super-resolution Capability from Pre-trained
  Diffusion Generative Models
Dissecting Arbitrary-scale Super-resolution Capability from Pre-trained Diffusion Generative Models
Ruibin Li
Qihua Zhou
Song Guo
Jiewei Zhang
Jingcai Guo
Xinyang Jiang
Yifei Shen
Zhen-Hai Han
DiffM
81
15
0
01 Jun 2023
Catch-Up Distillation: You Only Need to Train Once for Accelerating
  Sampling
Catch-Up Distillation: You Only Need to Train Once for Accelerating Sampling
Shitong Shao
Xu Dai
Shouyi Yin
Lujun Li
Huanran Chen
Yang Hu
97
17
0
18 May 2023
CoreDiff: Contextual Error-Modulated Generalized Diffusion Model for
  Low-Dose CT Denoising and Generalization
CoreDiff: Contextual Error-Modulated Generalized Diffusion Model for Low-Dose CT Denoising and Generalization
Q. Gao
Zilong Li
Junping Zhang
Yi Zhang
Hongming Shan
DiffMMedIm
89
55
0
04 Apr 2023
Preconditioned Score-based Generative Models
Preconditioned Score-based Generative Models
He Ma
Xiatian Zhu
Xiatian Zhu
Jianfeng Feng
DiffM
138
6
0
13 Feb 2023
Fast Inference in Denoising Diffusion Models via MMD Finetuning
Fast Inference in Denoising Diffusion Models via MMD Finetuning
Emanuele Aiello
D. Valsesia
E. Magli
DiffM
56
5
0
19 Jan 2023
Fast Sampling of Diffusion Models via Operator Learning
Fast Sampling of Diffusion Models via Operator Learning
Hongkai Zheng
Weili Nie
Arash Vahdat
Kamyar Azizzadenesheli
Anima Anandkumar
DiffM
133
152
0
24 Nov 2022
Diffusion Model Based Posterior Sampling for Noisy Linear Inverse
  Problems
Diffusion Model Based Posterior Sampling for Noisy Linear Inverse Problems
Xiangming Meng
Y. Kabashima
DiffM
136
54
0
20 Nov 2022
DiffusionDet: Diffusion Model for Object Detection
DiffusionDet: Diffusion Model for Object Detection
Shoufa Chen
Pei Sun
Yibing Song
Ping Luo
133
473
0
17 Nov 2022
Boomerang: Local sampling on image manifolds using diffusion models
Boomerang: Local sampling on image manifolds using diffusion models
Lorenzo Luzi
P. Mayer
Josue Casco-Rodriguez
Ali Siahkoohi
Richard G. Baraniuk
DiffM
108
20
0
21 Oct 2022
Nezha: Deployable and High-Performance Consensus Using Synchronized
  Clocks
Nezha: Deployable and High-Performance Consensus Using Synchronized Clocks
Jinkun Geng
Anirudh Sivaraman
B. Prabhakar
M. Rosenblum
41
8
0
03 Jun 2022
Multimodal Image Synthesis and Editing: The Generative AI Era
Multimodal Image Synthesis and Editing: The Generative AI Era
Fangneng Zhan
Yingchen Yu
Rongliang Wu
Jiahui Zhang
Shijian Lu
Lingjie Liu
Adam Kortylewski
Christian Theobalt
Eric Xing
EGVM
198
51
0
27 Dec 2021
Previous
12345