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Distribution Backtracking Builds A Faster Convergence Trajectory for Diffusion Distillation
v1v2v3 (latest)

Distribution Backtracking Builds A Faster Convergence Trajectory for Diffusion Distillation

28 August 2024
Shengyuan Zhang
Ling Yang
Ziyue Li
An Zhao
Chenye Meng
Changyuan Yang
Guang Yang
Zhiyuan Yang
Lingyun Sun
ArXiv (abs)PDFHTML

Papers citing "Distribution Backtracking Builds A Faster Convergence Trajectory for Diffusion Distillation"

15 / 15 papers shown
Title
Improved Distribution Matching Distillation for Fast Image Synthesis
Improved Distribution Matching Distillation for Fast Image Synthesis
Tianwei Yin
Michael Gharbi
Taesung Park
Richard Zhang
Eli Shechtman
Frédo Durand
William T. Freeman
DiffM
113
127
0
23 May 2024
Hyper-SD: Trajectory Segmented Consistency Model for Efficient Image
  Synthesis
Hyper-SD: Trajectory Segmented Consistency Model for Efficient Image Synthesis
Yuxi Ren
Xin Xia
Yanzuo Lu
Jiacheng Zhang
Jie Wu
Pan Xie
Xing Wang
Xuefeng Xiao
119
77
0
21 Apr 2024
SwiftBrush: One-Step Text-to-Image Diffusion Model with Variational
  Score Distillation
SwiftBrush: One-Step Text-to-Image Diffusion Model with Variational Score Distillation
Thuan Hoang Nguyen
Anh Tran
DiffM
53
66
0
08 Dec 2023
Generative Diffusion Models on Graphs: Methods and Applications
Generative Diffusion Models on Graphs: Methods and Applications
Junfeng Fang
Wenqi Fan
Yunqing Liu
Jiatong Li
Hang Li
Hui Liu
Jiliang Tang
Qing Li
MedImDiffM
70
66
0
06 Feb 2023
LAION-5B: An open large-scale dataset for training next generation
  image-text models
LAION-5B: An open large-scale dataset for training next generation image-text models
Christoph Schuhmann
Romain Beaumont
Richard Vencu
Cade Gordon
Ross Wightman
...
Srivatsa Kundurthy
Katherine Crowson
Ludwig Schmidt
R. Kaczmarczyk
J. Jitsev
VLMMLLMCLIP
200
3,493
0
16 Oct 2022
On Distillation of Guided Diffusion Models
On Distillation of Guided Diffusion Models
Chenlin Meng
Robin Rombach
Ruiqi Gao
Diederik P. Kingma
Stefano Ermon
Jonathan Ho
Tim Salimans
VLMDiffM
77
532
0
06 Oct 2022
Elucidating the Design Space of Diffusion-Based Generative Models
Elucidating the Design Space of Diffusion-Based Generative Models
Tero Karras
M. Aittala
Timo Aila
S. Laine
DiffM
207
2,018
0
01 Jun 2022
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
100
558
0
15 Dec 2021
Diffusion Models Beat GANs on Image Synthesis
Diffusion Models Beat GANs on Image Synthesis
Prafulla Dhariwal
Alex Nichol
247
7,933
0
11 May 2021
Improved Denoising Diffusion Probabilistic Models
Improved Denoising Diffusion Probabilistic Models
Alex Nichol
Prafulla Dhariwal
DiffM
352
3,715
0
18 Feb 2021
Score-Based Generative Modeling through Stochastic Differential
  Equations
Score-Based Generative Modeling through Stochastic Differential Equations
Yang Song
Jascha Narain Sohl-Dickstein
Diederik P. Kingma
Abhishek Kumar
Stefano Ermon
Ben Poole
DiffMSyDa
350
6,551
0
26 Nov 2020
Denoising Diffusion Implicit Models
Denoising Diffusion Implicit Models
Jiaming Song
Chenlin Meng
Stefano Ermon
VLMDiffM
289
7,454
0
06 Oct 2020
StarGAN v2: Diverse Image Synthesis for Multiple Domains
StarGAN v2: Diverse Image Synthesis for Multiple Domains
Yunjey Choi
Youngjung Uh
Jaejun Yoo
Jung-Woo Ha
3DH
127
1,753
0
04 Dec 2019
Generative Modeling by Estimating Gradients of the Data Distribution
Generative Modeling by Estimating Gradients of the Data Distribution
Yang Song
Stefano Ermon
SyDaDiffM
258
3,954
0
12 Jul 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
599
10,590
0
12 Dec 2018
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