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ScoreFusion: Fusing Score-based Generative Models via Kullback-Leibler Barycenters

ScoreFusion: Fusing Score-based Generative Models via Kullback-Leibler Barycenters

28 June 2024
Hao Liu
Junze Tony Ye
Ye
Jose H. Blanchet
    DiffM
    FedML
ArXivPDFHTML

Papers citing "ScoreFusion: Fusing Score-based Generative Models via Kullback-Leibler Barycenters"

40 / 40 papers shown
Title
On the Generalization Properties of Diffusion Models
On the Generalization Properties of Diffusion Models
Puheng Li
Zhong Li
Huishuai Zhang
Jiang Bian
104
32
0
13 Mar 2025
Kullback-Leibler Barycentre of Stochastic Processes
Kullback-Leibler Barycentre of Stochastic Processes
S. Jaimungal
Silvana M. Pesenti
52
1
0
05 Jul 2024
LLMaAA: Making Large Language Models as Active Annotators
LLMaAA: Making Large Language Models as Active Annotators
Ruoyu Zhang
Yanzeng Li
Yongliang Ma
Ming Zhou
Lei Zou
49
70
0
30 Oct 2023
DomainStudio: Fine-Tuning Diffusion Models for Domain-Driven Image
  Generation using Limited Data
DomainStudio: Fine-Tuning Diffusion Models for Domain-Driven Image Generation using Limited Data
Jin Zhu
Huimin Ma
Jiansheng Chen
Jian Yuan
DiffM
58
10
0
25 Jun 2023
Patch Diffusion: Faster and More Data-Efficient Training of Diffusion
  Models
Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models
Zhendong Wang
Yi Ding
Huangjie Zheng
Peihao Wang
Pengcheng He
Zhangyang Wang
Weizhu Chen
Mingyuan Zhou
55
103
0
25 Apr 2023
Score Approximation, Estimation and Distribution Recovery of Diffusion
  Models on Low-Dimensional Data
Score Approximation, Estimation and Distribution Recovery of Diffusion Models on Low-Dimensional Data
Minshuo Chen
Kaixuan Huang
Tuo Zhao
Mengdi Wang
DiffM
20
97
0
14 Feb 2023
Tune-A-Video: One-Shot Tuning of Image Diffusion Models for
  Text-to-Video Generation
Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation
Jay Zhangjie Wu
Yixiao Ge
Xintao Wang
Weixian Lei
Yuchao Gu
Yufei Shi
Wynne Hsu
Ying Shan
Xiaohu Qie
Mike Zheng Shou
VGen
86
706
0
22 Dec 2022
Plug-and-Play Diffusion Features for Text-Driven Image-to-Image
  Translation
Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translation
Narek Tumanyan
Michal Geyer
Shai Bagon
Tali Dekel
108
660
0
22 Nov 2022
Null-text Inversion for Editing Real Images using Guided Diffusion
  Models
Null-text Inversion for Editing Real Images using Guided Diffusion Models
Ron Mokady
Amir Hertz
Kfir Aberman
Yael Pritch
Daniel Cohen-Or
DiffM
48
537
0
17 Nov 2022
DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models
DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models
Shansan Gong
Mukai Li
Jiangtao Feng
Zhiyong Wu
Lingpeng Kong
77
325
0
17 Oct 2022
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
VLM
MLLM
CLIP
111
3,355
0
16 Oct 2022
Sampling is as easy as learning the score: theory for diffusion models
  with minimal data assumptions
Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions
Sitan Chen
Sinho Chewi
Jungshian Li
Yuanzhi Li
Adil Salim
Anru R. Zhang
DiffM
173
258
0
22 Sep 2022
Convergence of denoising diffusion models under the manifold hypothesis
Convergence of denoising diffusion models under the manifold hypothesis
Valentin De Bortoli
DiffM
46
161
0
10 Aug 2022
Blended Latent Diffusion
Blended Latent Diffusion
Omri Avrahami
Ohad Fried
Dani Lischinski
DiffM
90
377
0
06 Jun 2022
Photorealistic Text-to-Image Diffusion Models with Deep Language
  Understanding
Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding
Chitwan Saharia
William Chan
Saurabh Saxena
Lala Li
Jay Whang
...
Raphael Gontijo-Lopes
Tim Salimans
Jonathan Ho
David J Fleet
Mohammad Norouzi
VLM
231
5,904
0
23 May 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents
Hierarchical Text-Conditional Image Generation with CLIP Latents
Aditya A. Ramesh
Prafulla Dhariwal
Alex Nichol
Casey Chu
Mark Chen
VLM
DiffM
271
6,768
0
13 Apr 2022
High-Resolution Image Synthesis with Latent Diffusion Models
High-Resolution Image Synthesis with Latent Diffusion Models
Robin Rombach
A. Blattmann
Dominik Lorenz
Patrick Esser
Bjorn Ommer
3DV
231
15,081
0
20 Dec 2021
Blended Diffusion for Text-driven Editing of Natural Images
Blended Diffusion for Text-driven Editing of Natural Images
Omri Avrahami
Dani Lischinski
Ohad Fried
DiffM
81
933
0
29 Nov 2021
Structured Denoising Diffusion Models in Discrete State-Spaces
Structured Denoising Diffusion Models in Discrete State-Spaces
Jacob Austin
Daniel D. Johnson
Jonathan Ho
Daniel Tarlow
Rianne van den Berg
DiffM
97
900
0
07 Jul 2021
Solving Schrödinger Bridges via Maximum Likelihood
Solving Schrödinger Bridges via Maximum Likelihood
Francisco Vargas
Pierre Thodoroff
Neil D. Lawrence
A. Lamacraft
OT
45
134
0
03 Jun 2021
Diffusion Schrödinger Bridge with Applications to Score-Based
  Generative Modeling
Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling
Valentin De Bortoli
James Thornton
J. Heng
Arnaud Doucet
DiffM
OT
65
448
0
01 Jun 2021
Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speech
Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speech
Vadim Popov
Ivan Vovk
Vladimir Gogoryan
Tasnima Sadekova
Mikhail Kudinov
DiffM
77
526
0
13 May 2021
On the Approximation Power of Two-Layer Networks of Random ReLUs
On the Approximation Power of Two-Layer Networks of Random ReLUs
Daniel J. Hsu
Clayton Sanford
Rocco A. Servedio
Emmanouil-Vasileios Vlatakis-Gkaragkounis
29
25
0
03 Feb 2021
Autoregressive Denoising Diffusion Models for Multivariate Probabilistic
  Time Series Forecasting
Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting
Kashif Rasul
Calvin Seward
Ingmar Schuster
Roland Vollgraf
DiffM
61
310
0
28 Jan 2021
Maximum Likelihood Training of Score-Based Diffusion Models
Maximum Likelihood Training of Score-Based Diffusion Models
Yang Song
Conor Durkan
Iain Murray
Stefano Ermon
DiffM
85
642
0
22 Jan 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
DiffM
SyDa
248
6,293
0
26 Nov 2020
Model Fusion with Kullback--Leibler Divergence
Model Fusion with Kullback--Leibler Divergence
Sebastian Claici
Mikhail Yurochkin
S. Ghosh
Justin Solomon
FedML
MoMe
38
34
0
13 Jul 2020
SpinalNet: Deep Neural Network with Gradual Input
SpinalNet: Deep Neural Network with Gradual Input
H. M. D. Kabir
Moloud Abdar
S. M. Jalali
Abbas Khosravi
A. Atiya
S. Nahavandi
D. Srinivasan
AI4CE
44
133
0
07 Jul 2020
Denoising Diffusion Probabilistic Models
Denoising Diffusion Probabilistic Models
Jonathan Ho
Ajay Jain
Pieter Abbeel
DiffM
254
17,550
0
19 Jun 2020
Debiased Sinkhorn barycenters
Debiased Sinkhorn barycenters
H. Janati
Marco Cuturi
Alexandre Gramfort
OT
35
57
0
03 Jun 2020
Generative Modeling with Denoising Auto-Encoders and Langevin Sampling
Generative Modeling with Denoising Auto-Encoders and Langevin Sampling
Adam Block
Youssef Mroueh
Alexander Rakhlin
DiffM
48
100
0
31 Jan 2020
A Comprehensive Survey on Transfer Learning
A Comprehensive Survey on Transfer Learning
Fuzhen Zhuang
Zhiyuan Qi
Keyu Duan
Dongbo Xi
Yongchun Zhu
Hengshu Zhu
Hui Xiong
Qing He
153
4,395
0
07 Nov 2019
A Survey on Deep Transfer Learning
A Survey on Deep Transfer Learning
Chuanqi Tan
F. Sun
Tao Kong
Wenchang Zhang
Chao Yang
Chunfang Liu
39
2,575
0
06 Aug 2018
Computational Optimal Transport
Computational Optimal Transport
Gabriel Peyré
Marco Cuturi
OT
120
2,133
0
01 Mar 2018
Stochastic Wasserstein Barycenters
Stochastic Wasserstein Barycenters
Sebastian Claici
Edward Chien
Justin Solomon
36
70
0
15 Feb 2018
Parallel Streaming Wasserstein Barycenters
Parallel Streaming Wasserstein Barycenters
Matthew Staib
Sebastian Claici
Justin Solomon
Stefanie Jegelka
27
89
0
21 May 2017
Stochastic Optimization for Large-scale Optimal Transport
Stochastic Optimization for Large-scale Optimal Transport
Aude Genevay
Marco Cuturi
Gabriel Peyré
Francis R. Bach
OT
51
464
0
27 May 2016
A note on the evaluation of generative models
A note on the evaluation of generative models
Lucas Theis
Aaron van den Oord
Matthias Bethge
EGVM
61
1,139
0
05 Nov 2015
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Jascha Narain Sohl-Dickstein
Eric A. Weiss
Niru Maheswaranathan
Surya Ganguli
SyDa
DiffM
173
6,780
0
12 Mar 2015
Fast Computation of Wasserstein Barycenters
Fast Computation of Wasserstein Barycenters
Marco Cuturi
Arnaud Doucet
OT
73
735
0
16 Oct 2013
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