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. 2205.12524
  4. Cited By
Accelerating Diffusion Models via Early Stop of the Diffusion Process

Accelerating Diffusion Models via Early Stop of the Diffusion Process

25 May 2022
Zhaoyang Lyu
Xu Xudong
Ceyuan Yang
Dahua Lin
Bo Dai
    DiffM
ArXivPDFHTML

Papers citing "Accelerating Diffusion Models via Early Stop of the Diffusion Process"

22 / 22 papers shown
Title
Infrared Image Super-Resolution: Systematic Review, and Future Trends
Infrared Image Super-Resolution: Systematic Review, and Future Trends
Y. Huang
Tomo Miyazaki
Xiao-Fang Liu
S. Omachi
SupR
129
12
0
21 Feb 2025
SF-Speech: Straightened Flow for Zero-Shot Voice Clone
SF-Speech: Straightened Flow for Zero-Shot Voice Clone
Xuyuan Li
Zengqiang Shang
Hua Hua
Peiyang Shi
Chen Yang
Li Wang
Pengyuan Zhang
105
2
0
16 Oct 2024
Temporal Feature Matters: A Framework for Diffusion Model Quantization
Temporal Feature Matters: A Framework for Diffusion Model Quantization
Yushi Huang
Ruihao Gong
Xianglong Liu
Jing Liu
Yuhang Li
Jiwen Lu
Dacheng Tao
DiffM
MQ
61
0
0
28 Jul 2024
Pseudo Numerical Methods for Diffusion Models on Manifolds
Pseudo Numerical Methods for Diffusion Models on Manifolds
Luping Liu
Yi Ren
Zhijie Lin
Zhou Zhao
DiffM
85
640
0
20 Feb 2022
Learning Fast Samplers for Diffusion Models by Differentiating Through
  Sample Quality
Learning Fast Samplers for Diffusion Models by Differentiating Through Sample Quality
Daniel Watson
William Chan
Jonathan Ho
Mohammad Norouzi
DiffM
BDL
65
181
0
11 Feb 2022
GLIDE: Towards Photorealistic Image Generation and Editing with
  Text-Guided Diffusion Models
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models
Alex Nichol
Prafulla Dhariwal
Aditya A. Ramesh
Pranav Shyam
Pamela Mishkin
Bob McGrew
Ilya Sutskever
Mark Chen
243
3,552
0
20 Dec 2021
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs
Zhisheng Xiao
Karsten Kreis
Arash Vahdat
DiffM
62
545
0
15 Dec 2021
Diffusion Autoencoders: Toward a Meaningful and Decodable Representation
Diffusion Autoencoders: Toward a Meaningful and Decodable Representation
Konpat Preechakul
Nattanat Chatthee
Suttisak Wizadwongsa
Supasorn Suwajanakorn
SyDa
DiffM
99
423
0
30 Nov 2021
Palette: Image-to-Image Diffusion Models
Palette: Image-to-Image Diffusion Models
Chitwan Saharia
William Chan
Huiwen Chang
Chris A. Lee
Jonathan Ho
Tim Salimans
David J. Fleet
Mohammad Norouzi
DiffM
VLM
446
1,617
0
10 Nov 2021
SDEdit: Guided Image Synthesis and Editing with Stochastic Differential
  Equations
SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations
Chenlin Meng
Yutong He
Yang Song
Jiaming Song
Jiajun Wu
Jun-Yan Zhu
Stefano Ermon
DiffM
109
1,467
0
02 Aug 2021
Diffusion Probabilistic Models for 3D Point Cloud Generation
Diffusion Probabilistic Models for 3D Point Cloud Generation
Shitong Luo
Wei Hu
3DPC
235
733
0
02 Mar 2021
Improved Denoising Diffusion Probabilistic Models
Improved Denoising Diffusion Probabilistic Models
Alex Nichol
Prafulla Dhariwal
DiffM
191
3,621
0
18 Feb 2021
DiffWave: A Versatile Diffusion Model for Audio Synthesis
DiffWave: A Versatile Diffusion Model for Audio Synthesis
Zhifeng Kong
Ming-Yu Liu
Jiaji Huang
Kexin Zhao
Bryan Catanzaro
DiffM
BDL
82
1,429
0
21 Sep 2020
Improved Techniques for Training Score-Based Generative Models
Improved Techniques for Training Score-Based Generative Models
Yang Song
Stefano Ermon
DiffM
146
1,135
0
16 Jun 2020
Quality Aware Generative Adversarial Networks
Quality Aware Generative Adversarial Networks
Parimala Kancharla
Sumohana S. Channappayya
GAN
34
27
0
08 Nov 2019
Prescribed Generative Adversarial Networks
Prescribed Generative Adversarial Networks
Adji Bousso Dieng
Francisco J. R. Ruiz
David M. Blei
Michalis K. Titsias
GAN
DRL
46
61
0
09 Oct 2019
Generative Modeling by Estimating Gradients of the Data Distribution
Generative Modeling by Estimating Gradients of the Data Distribution
Yang Song
Stefano Ermon
SyDa
DiffM
180
3,803
0
12 Jul 2019
Improved Precision and Recall Metric for Assessing Generative Models
Improved Precision and Recall Metric for Assessing Generative Models
Tuomas Kynkaanniemi
Tero Karras
S. Laine
J. Lehtinen
Timo Aila
EGVM
81
844
0
15 Apr 2019
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
510
10,500
0
12 Dec 2018
Bias and Generalization in Deep Generative Models: An Empirical Study
Bias and Generalization in Deep Generative Models: An Empirical Study
Shengjia Zhao
Hongyu Ren
Arianna Yuan
Jiaming Song
Noah D. Goodman
Stefano Ermon
AI4CE
42
137
0
08 Nov 2018
Improved Techniques for Training GANs
Improved Techniques for Training GANs
Tim Salimans
Ian Goodfellow
Wojciech Zaremba
Vicki Cheung
Alec Radford
Xi Chen
GAN
380
8,999
0
10 Jun 2016
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
372
16,962
0
20 Dec 2013
1