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Consistency Models

Consistency Models

2 March 2023
Yang Song
Prafulla Dhariwal
Mark Chen
Ilya Sutskever
    VLM
    DiffM
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Papers citing "Consistency Models"

34 / 634 papers shown
Title
CoMoSpeech: One-Step Speech and Singing Voice Synthesis via Consistency
  Model
CoMoSpeech: One-Step Speech and Singing Voice Synthesis via Consistency Model
Zhe Ye
Wei Xue
Xuejiao Tan
Jie Chen
Qi-fei Liu
Yi-Ting Guo
DiffM
30
40
0
11 May 2023
NaturalSpeech 2: Latent Diffusion Models are Natural and Zero-Shot
  Speech and Singing Synthesizers
NaturalSpeech 2: Latent Diffusion Models are Natural and Zero-Shot Speech and Singing Synthesizers
Kai Shen
Zeqian Ju
Xu Tan
Yanqing Liu
Yichong Leng
Lei He
Tao Qin
Sheng Zhao
Jiang Bian
DiffM
44
225
0
18 Apr 2023
DiffFit: Unlocking Transferability of Large Diffusion Models via Simple
  Parameter-Efficient Fine-Tuning
DiffFit: Unlocking Transferability of Large Diffusion Models via Simple Parameter-Efficient Fine-Tuning
Enze Xie
Lewei Yao
Han Shi
Zhili Liu
Daquan Zhou
Zhaoqiang Liu
Jiawei Li
Zhenguo Li
34
76
0
13 Apr 2023
A Comprehensive Survey on Knowledge Distillation of Diffusion Models
A Comprehensive Survey on Knowledge Distillation of Diffusion Models
Weijian Luo
DiffM
MedIm
52
33
0
09 Apr 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
DiffM
MedIm
33
49
0
04 Apr 2023
$\infty$-Diff: Infinite Resolution Diffusion with Subsampled Mollified
  States
∞\infty∞-Diff: Infinite Resolution Diffusion with Subsampled Mollified States
Sam Bond-Taylor
Chris G. Willcocks
34
15
0
31 Mar 2023
Parallel Diffusion Model-based Sparse-view Cone-beam Breast CT
Parallel Diffusion Model-based Sparse-view Cone-beam Breast CT
Wenjun Xia
H. Tseng
Chuang Niu
W. Cong
Xiaohua Zhang
Shaohua Liu
R. Ning
Srinivasan Vedantham
Ge Wang
DiffM
MedIm
21
4
0
22 Mar 2023
$CrowdDiff$: Multi-hypothesis Crowd Density Estimation using Diffusion
  Models
CrowdDiffCrowdDiffCrowdDiff: Multi-hypothesis Crowd Density Estimation using Diffusion Models
Y. Ranasinghe
Nithin Gopalakrishnan Nair
W. G. C. Bandara
Vishal M. Patel
DiffM
32
10
0
22 Mar 2023
CompoDiff: Versatile Composed Image Retrieval With Latent Diffusion
CompoDiff: Versatile Composed Image Retrieval With Latent Diffusion
Geonmo Gu
Sanghyuk Chun
Wonjae Kim
HeeJae Jun
Yoohoon Kang
Sangdoo Yun
DiffM
36
50
0
21 Mar 2023
Inversion by Direct Iteration: An Alternative to Denoising Diffusion for
  Image Restoration
Inversion by Direct Iteration: An Alternative to Denoising Diffusion for Image Restoration
M. Delbracio
P. Milanfar
DiffM
37
112
0
20 Mar 2023
SVDiff: Compact Parameter Space for Diffusion Fine-Tuning
SVDiff: Compact Parameter Space for Diffusion Fine-Tuning
Ligong Han
Yinxiao Li
Han Zhang
P. Milanfar
Dimitris N. Metaxas
Feng Yang
DiffM
47
269
0
20 Mar 2023
Denoising Diffusion Autoencoders are Unified Self-supervised Learners
Denoising Diffusion Autoencoders are Unified Self-supervised Learners
Weilai Xiang
Hongyu Yang
Di Huang
Yunhong Wang
DiffM
30
71
0
17 Mar 2023
Importance of Aligning Training Strategy with Evaluation for Diffusion
  Models in 3D Multiclass Segmentation
Importance of Aligning Training Strategy with Evaluation for Diffusion Models in 3D Multiclass Segmentation
Yunguan Fu
Yiwen Li
Shaheer U. Saeed
Matthew J. Clarkson
Yipeng Hu
DiffM
MedIm
88
7
0
10 Mar 2023
On Calibrating Diffusion Probabilistic Models
On Calibrating Diffusion Probabilistic Models
Tianyu Pang
Cheng Lu
Chao Du
Min Lin
Shuicheng Yan
Zhijie Deng
DiffM
38
2
0
21 Feb 2023
Consistent Diffusion Models: Mitigating Sampling Drift by Learning to be
  Consistent
Consistent Diffusion Models: Mitigating Sampling Drift by Learning to be Consistent
Giannis Daras
Y. Dagan
A. Dimakis
C. Daskalakis
DiffM
50
44
0
17 Feb 2023
From paintbrush to pixel: A review of deep neural networks in
  AI-generated art
From paintbrush to pixel: A review of deep neural networks in AI-generated art
Anne-Sofie Maerten
Derya Soydaner
37
23
0
14 Feb 2023
Preconditioned Score-based Generative Models
Preconditioned Score-based Generative Models
He Ma
Xiatian Zhu
Xiatian Zhu
Jianfeng Feng
DiffM
43
5
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
22
4
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
65
134
0
24 Nov 2022
Diffusion Denoising Process for Perceptron Bias in Out-of-distribution
  Detection
Diffusion Denoising Process for Perceptron Bias in Out-of-distribution Detection
Luping Liu
Yi Ren
Xize Cheng
Rongjie Huang
Chongxuan Li
Zhou Zhao
34
7
0
21 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
14
52
0
20 Nov 2022
DiffusionDet: Diffusion Model for Object Detection
DiffusionDet: Diffusion Model for Object Detection
Shoufa Chen
Pei Sun
Yibing Song
Ping Luo
68
443
0
17 Nov 2022
DriftRec: Adapting diffusion models to blind JPEG restoration
DriftRec: Adapting diffusion models to blind JPEG restoration
Simon Welker
H. Chapman
Timo Gerkmann
DiffM
38
12
0
12 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
32
20
0
21 Oct 2022
Sequential Neural Score Estimation: Likelihood-Free Inference with
  Conditional Score Based Diffusion Models
Sequential Neural Score Estimation: Likelihood-Free Inference with Conditional Score Based Diffusion Models
Louis Sharrock
J. Simons
Song Liu
Mark Beaumont
DiffM
64
34
0
10 Oct 2022
Poisson Flow Generative Models
Poisson Flow Generative Models
Yilun Xu
Ziming Liu
M. Tegmark
Tommi Jaakkola
100
80
0
22 Sep 2022
A Survey on Generative Diffusion Model
A Survey on Generative Diffusion Model
Hanqun Cao
Cheng Tan
Zhangyang Gao
Yilun Xu
Guangyong Chen
Pheng-Ann Heng
Stan Z. Li
MedIm
42
207
0
06 Sep 2022
StudioGAN: A Taxonomy and Benchmark of GANs for Image Synthesis
StudioGAN: A Taxonomy and Benchmark of GANs for Image Synthesis
Minguk Kang
Joonghyuk Shin
Jaesik Park
EGVM
16
67
0
19 Jun 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
14
8
0
03 Jun 2022
StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets
StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets
Axel Sauer
Katja Schwarz
Andreas Geiger
182
495
0
01 Feb 2022
Denoising Diffusion Restoration Models
Denoising Diffusion Restoration Models
Bahjat Kawar
Michael Elad
Stefano Ermon
Jiaming Song
DiffM
220
787
0
27 Jan 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
34
48
0
27 Dec 2021
Knowledge Distillation in Iterative Generative Models for Improved
  Sampling Speed
Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed
Eric Luhman
Troy Luhman
DiffM
195
258
0
07 Jan 2021
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
272
2,552
0
25 Jan 2016
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