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. 2210.03142
  4. Cited By
On Distillation of Guided Diffusion Models

On Distillation of Guided Diffusion Models

6 October 2022
Chenlin Meng
Robin Rombach
Ruiqi Gao
Diederik P. Kingma
Stefano Ermon
Jonathan Ho
Tim Salimans
    VLM
    DiffM
ArXivPDFHTML

Papers citing "On Distillation of Guided Diffusion Models"

50 / 108 papers shown
Title
Diffusion Models in Low-Level Vision: A Survey
Diffusion Models in Low-Level Vision: A Survey
Chunming He
Yuqi Shen
Chengyu Fang
Fengyang Xiao
Longxiang Tang
Yulun Zhang
W. Zuo
Zhenhua Guo
Xiu Li
VLM
DiffM
MedIm
82
33
0
17 Jun 2024
Vista: A Generalizable Driving World Model with High Fidelity and
  Versatile Controllability
Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability
Shenyuan Gao
Jiazhi Yang
Li Chen
Kashyap Chitta
Yihang Qiu
Andreas Geiger
Jun Zhang
Hongyang Li
71
75
0
27 May 2024
Hierarchical Uncertainty Exploration via Feedforward Posterior Trees
Hierarchical Uncertainty Exploration via Feedforward Posterior Trees
E. Nehme
Rotem Mulayoff
T. Michaeli
UQCV
48
2
0
24 May 2024
A Misleading Gallery of Fluid Motion by Generative Artificial
  Intelligence
A Misleading Gallery of Fluid Motion by Generative Artificial Intelligence
Ali Kashefi
VGen
51
5
0
24 May 2024
Learning to Discretize Denoising Diffusion ODEs
Learning to Discretize Denoising Diffusion ODEs
Vinh Tong
Guy Van den Broeck
Anji Liu
Mathias Niepert
Mathias Niepert
DiffM
45
4
0
24 May 2024
Looking Backward: Streaming Video-to-Video Translation with Feature Banks
Looking Backward: Streaming Video-to-Video Translation with Feature Banks
Feng Liang
Akio Kodaira
Chenfeng Xu
Masayoshi Tomizuka
Kurt Keutzer
Diana Marculescu
DiffM
VGen
70
7
0
24 May 2024
PeRFlow: Piecewise Rectified Flow as Universal Plug-and-Play Accelerator
PeRFlow: Piecewise Rectified Flow as Universal Plug-and-Play Accelerator
Hanshu Yan
Xingchao Liu
Jiachun Pan
Jun Hao Liew
Qiang Liu
Jiashi Feng
42
41
0
13 May 2024
Distilling Diffusion Models into Conditional GANs
Distilling Diffusion Models into Conditional GANs
Minguk Kang
Richard Zhang
Connelly Barnes
Sylvain Paris
Suha Kwak
Jaesik Park
Eli Shechtman
Jun-Yan Zhu
Taesung Park
46
37
0
09 May 2024
CKD: Contrastive Knowledge Distillation from A Sample-wise Perspective
CKD: Contrastive Knowledge Distillation from A Sample-wise Perspective
Wencheng Zhu
Xin Zhou
Pengfei Zhu
Yu Wang
Qinghua Hu
VLM
64
1
0
22 Apr 2024
DreamView: Injecting View-specific Text Guidance into Text-to-3D
  Generation
DreamView: Injecting View-specific Text Guidance into Text-to-3D Generation
Junkai Yan
Yipeng Gao
Q. Yang
Xihan Wei
Xuansong Xie
Ancong Wu
Wei-Shi Zheng
40
1
0
09 Apr 2024
Video Editing via Factorized Diffusion Distillation
Video Editing via Factorized Diffusion Distillation
Uriel Singer
Amit Zohar
Yuval Kirstain
Shelly Sheynin
Adam Polyak
Devi Parikh
Yaniv Taigman
DiffM
VGen
46
12
0
14 Mar 2024
SCott: Accelerating Diffusion Models with Stochastic Consistency Distillation
SCott: Accelerating Diffusion Models with Stochastic Consistency Distillation
Hongjian Liu
Qingsong Xie
Zhijie Deng
Chen Chen
Shixiang Tang
Fueyang Fu
Zheng-Jun Zha
H. Lu
Zheng-jun Zha
49
6
0
03 Mar 2024
Trajectory Consistency Distillation: Improved Latent Consistency
  Distillation by Semi-Linear Consistency Function with Trajectory Mapping
Trajectory Consistency Distillation: Improved Latent Consistency Distillation by Semi-Linear Consistency Function with Trajectory Mapping
Jianbin Zheng
Minghui Hu
Zhongyi Fan
Chaoyue Wang
Changxing Ding
Dacheng Tao
Tat-Jen Cham
43
26
0
29 Feb 2024
On the Challenges and Opportunities in Generative AI
On the Challenges and Opportunities in Generative AI
Laura Manduchi
Kushagra Pandey
Robert Bamler
Ryan Cotterell
Sina Daubener
...
F. Wenzel
Frank Wood
Stephan Mandt
Vincent Fortuin
Vincent Fortuin
56
17
0
28 Feb 2024
Diffusion Model-Based Image Editing: A Survey
Diffusion Model-Based Image Editing: A Survey
Yi Huang
Jiancheng Huang
Yifan Liu
Mingfu Yan
Jiaxi Lv
Jianzhuang Liu
Wei Xiong
He Zhang
Liangliang Cao
Liangliang Cao
EGVM
66
86
0
27 Feb 2024
Learning to See Through Dazzle
Learning to See Through Dazzle
Xiaopeng Peng
Erin F. Fleet
A. Watnik
Grover A. Swartzlander
GAN
AAML
32
4
0
24 Feb 2024
Object-Centric Diffusion for Efficient Video Editing
Object-Centric Diffusion for Efficient Video Editing
Kumara Kahatapitiya
Adil Karjauv
Davide Abati
Fatih Porikli
Yuki M. Asano
A. Habibian
VGen
40
12
0
11 Jan 2024
Adaptive Guidance: Training-free Acceleration of Conditional Diffusion
  Models
Adaptive Guidance: Training-free Acceleration of Conditional Diffusion Models
Angela Castillo
Jonas Kohler
Juan C. Pérez
Juan Pablo Pérez
Albert Pumarola
Guohao Li
Pablo Arbelaez
Ali K. Thabet
30
12
0
19 Dec 2023
Uncertainty Visualization via Low-Dimensional Posterior Projections
Uncertainty Visualization via Low-Dimensional Posterior Projections
Omer Yair
E. Nehme
T. Michaeli
UQCV
38
2
0
12 Dec 2023
DeepCache: Accelerating Diffusion Models for Free
DeepCache: Accelerating Diffusion Models for Free
Xinyin Ma
Gongfan Fang
Xinchao Wang
24
122
0
01 Dec 2023
On Exact Inversion of DPM-Solvers
On Exact Inversion of DPM-Solvers
Seongmin Hong
Kyeonghyun Lee
Suh Yoon Jeon
Hyewon Bae
Se Young Chun
DiffM
29
21
0
30 Nov 2023
Touring sampling with pushforward maps
Touring sampling with pushforward maps
Vivien A. Cabannes
Charles Arnal
26
0
0
23 Nov 2023
Improved DDIM Sampling with Moment Matching Gaussian Mixtures
Improved DDIM Sampling with Moment Matching Gaussian Mixtures
Prasad Gabbur
DiffM
30
1
0
08 Nov 2023
Bespoke Solvers for Generative Flow Models
Bespoke Solvers for Generative Flow Models
Neta Shaul
Juan C. Pérez
Ricky T. Q. Chen
Ali K. Thabet
Albert Pumarola
Y. Lipman
28
23
0
29 Oct 2023
Denoising Heat-inspired Diffusion with Insulators for Collision Free
  Motion Planning
Denoising Heat-inspired Diffusion with Insulators for Collision Free Motion Planning
Junwoo Chang
Hyunwoo Ryu
Jiwoo Kim
Soochul Yoo
Jongeun Choi
Joohwan Seo
N. Prakash
R. Horowitz
DiffM
AI4CE
28
6
0
19 Oct 2023
Object-aware Inversion and Reassembly for Image Editing
Object-aware Inversion and Reassembly for Image Editing
Zhen Yang
Dinggang Gui
Wen Wang
Hao Chen
Bohan Zhuang
Chunhua Shen
DiffM
33
14
0
18 Oct 2023
Efficient Integrators for Diffusion Generative Models
Efficient Integrators for Diffusion Generative Models
Kushagra Pandey
Maja R. Rudolph
Stephan Mandt
DiffM
21
10
0
11 Oct 2023
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
38
5
0
12 Sep 2023
Pixel-Aware Stable Diffusion for Realistic Image Super-resolution and
  Personalized Stylization
Pixel-Aware Stable Diffusion for Realistic Image Super-resolution and Personalized Stylization
Tao Yang
Rongyuan Wu
Peiran Ren
Xuansong Xie
Lei Zhang
DiffM
41
136
0
28 Aug 2023
SDXL: Improving Latent Diffusion Models for High-Resolution Image
  Synthesis
SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis
Dustin Podell
Zion English
Kyle Lacey
A. Blattmann
Tim Dockhorn
Jonas Muller
Joe Penna
Robin Rombach
97
2,128
0
04 Jul 2023
Squeezing Large-Scale Diffusion Models for Mobile
Squeezing Large-Scale Diffusion Models for Mobile
Jiwoong Choi
Minkyu Kim
Daehyun Ahn
Taesu Kim
Yulhwa Kim
Do-Hyun Jo
H. Jeon
Jae-Joon Kim
Hyungjun Kim
31
9
0
03 Jul 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
33
78
0
02 Jun 2023
Training on Thin Air: Improve Image Classification with Generated Data
Training on Thin Air: Improve Image Classification with Generated Data
Yongchao Zhou
Hshmat Sahak
Jimmy Ba
DiffM
19
43
0
24 May 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
24
17
0
18 May 2023
Align your Latents: High-Resolution Video Synthesis with Latent
  Diffusion Models
Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Models
A. Blattmann
Robin Rombach
Huan Ling
Tim Dockhorn
Seung Wook Kim
Sanja Fidler
Karsten Kreis
3DGS
VGen
100
1,013
0
18 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
Visual Chain-of-Thought Diffusion Models
Visual Chain-of-Thought Diffusion Models
William Harvey
Frank Wood
DiffM
VLM
36
7
0
28 Mar 2023
TRACT: Denoising Diffusion Models with Transitive Closure
  Time-Distillation
TRACT: Denoising Diffusion Models with Transitive Closure Time-Distillation
David Berthelot
Arnaud Autef
Jierui Lin
Dian Ang Yap
Shuangfei Zhai
Siyuan Hu
Daniel Zheng
Walter Talbot
Eric Gu
DiffM
28
80
0
07 Mar 2023
Ensemble flow reconstruction in the atmospheric boundary layer from
  spatially limited measurements through latent diffusion models
Ensemble flow reconstruction in the atmospheric boundary layer from spatially limited measurements through latent diffusion models
A. Rybchuk
M. Hassanaly
N. Hamilton
P. Doubrawa
Mitchell J. Fulton
L. Martínez‐Tossas
AI4CE
DiffM
30
16
0
01 Mar 2023
Preconditioned Score-based Generative Models
Preconditioned Score-based Generative Models
He Ma
Xiatian Zhu
Xiatian Zhu
Jianfeng Feng
DiffM
38
5
0
13 Feb 2023
Q-Diffusion: Quantizing Diffusion Models
Q-Diffusion: Quantizing Diffusion Models
Xiuyu Li
Yijia Liu
Long Lian
Hua Yang
Zhen Dong
Daniel Kang
Shanghang Zhang
Kurt Keutzer
DiffM
MQ
38
152
0
08 Feb 2023
Simple diffusion: End-to-end diffusion for high resolution images
Simple diffusion: End-to-end diffusion for high resolution images
Emiel Hoogeboom
Jonathan Heek
Tim Salimans
31
248
0
26 Jan 2023
StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale
  Text-to-Image Synthesis
StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis
Axel Sauer
Tero Karras
S. Laine
Andreas Geiger
Timo Aila
37
207
0
23 Jan 2023
Exploring Vision Transformers as Diffusion Learners
Exploring Vision Transformers as Diffusion Learners
He Cao
Jianan Wang
Tianhe Ren
Xianbiao Qi
Yihao Chen
Yuan Yao
Lefei Zhang
44
10
0
28 Dec 2022
Multiscale Structure Guided Diffusion for Image Deblurring
Multiscale Structure Guided Diffusion for Image Deblurring
Mengwei Ren
M. Delbracio
Hossein Talebi
Guido Gerig
P. Milanfar
DiffM
21
59
0
04 Dec 2022
Multilingual Communication System with Deaf Individuals Utilizing
  Natural and Visual Languages
Multilingual Communication System with Deaf Individuals Utilizing Natural and Visual Languages
Tuan-Luc Huynh
Khoi-Nguyen Nguyen-Ngoc
Chi-Bien Chu
Minh-Triet Tran
Trung-Nghia Le
SLR
15
0
0
01 Dec 2022
Progressive Learning without Forgetting
Progressive Learning without Forgetting
Tao Feng
Hangjie Yuan
Mang Wang
Ziyuan Huang
Ang Bian
Jianzhou Zhang
CLL
KELM
44
4
0
28 Nov 2022
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
131
0
24 Nov 2022
Listen, Denoise, Action! Audio-Driven Motion Synthesis with Diffusion
  Models
Listen, Denoise, Action! Audio-Driven Motion Synthesis with Diffusion Models
Simon Alexanderson
Rajmund Nagy
Jonas Beskow
G. Henter
DiffM
VGen
24
165
0
17 Nov 2022
Efficient Spatially Sparse Inference for Conditional GANs and Diffusion
  Models
Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models
Muyang Li
Ji Lin
Chenlin Meng
Stefano Ermon
Song Han
Jun-Yan Zhu
DiffM
37
45
0
03 Nov 2022
Previous
123
Next