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Elucidating the Design Space of Diffusion-Based Generative Models

Elucidating the Design Space of Diffusion-Based Generative Models

1 June 2022
Tero Karras
M. Aittala
Timo Aila
S. Laine
    DiffM
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Papers citing "Elucidating the Design Space of Diffusion-Based Generative Models"

50 / 317 papers shown
Title
On Improved Conditioning Mechanisms and Pre-training Strategies for Diffusion Models
On Improved Conditioning Mechanisms and Pre-training Strategies for Diffusion Models
Tariq Berrada Ifriqi
Pietro Astolfi
Melissa Hall
Reyhane Askari Hemmat
Yohann Benchetrit
...
Matthew Muckley
Karteek Alahari
Adriana Romero Soriano
Jakob Verbeek
M. Drozdzal
AI4CE
VLM
52
2
0
05 Nov 2024
Compositional simulation-based inference for time series
Compositional simulation-based inference for time series
Manuel Gloeckler
S. Toyota
Kenji Fukumizu
Jakob H Macke
37
1
0
05 Nov 2024
TurboHopp: Accelerated Molecule Scaffold Hopping with Consistency Models
TurboHopp: Accelerated Molecule Scaffold Hopping with Consistency Models
Kiwoong Yoo
Owen Oertell
Junhyun Lee
Sanghoon Lee
Jaewoo Kang
31
0
0
28 Oct 2024
On learning higher-order cumulants in diffusion models
On learning higher-order cumulants in diffusion models
Gert Aarts
Diaa E. Habibi
L. Wang
K. Zhou
26
4
0
28 Oct 2024
Q-Distribution guided Q-learning for offline reinforcement learning: Uncertainty penalized Q-value via consistency model
Q-Distribution guided Q-learning for offline reinforcement learning: Uncertainty penalized Q-value via consistency model
Jing Zhang
Linjiajie Fang
Kexin Shi
Wenjia Wang
Bing-Yi Jing
OffRL
31
0
0
27 Oct 2024
Learned Reference-based Diffusion Sampling for multi-modal distributions
Learned Reference-based Diffusion Sampling for multi-modal distributions
Maxence Noble
Louis Grenioux
Marylou Gabrié
Alain Durmus
DiffM
29
2
0
25 Oct 2024
Simpler Diffusion (SiD2): 1.5 FID on ImageNet512 with pixel-space diffusion
Simpler Diffusion (SiD2): 1.5 FID on ImageNet512 with pixel-space diffusion
Emiel Hoogeboom
Thomas Mensink
Jonathan Heek
Kay Lamerigts
Ruiqi Gao
Tim Salimans
64
6
0
25 Oct 2024
Robust Watermarking Using Generative Priors Against Image Editing: From Benchmarking to Advances
Robust Watermarking Using Generative Priors Against Image Editing: From Benchmarking to Advances
Shilin Lu
Zihan Zhou
Jiayou Lu
Yuanzhi Zhu
A. Kong
WIGM
80
10
0
24 Oct 2024
Conjuring Semantic Similarity
Conjuring Semantic Similarity
Tian Yu Liu
Stefano Soatto
DiffM
27
0
0
21 Oct 2024
ConSinger: Efficient High-Fidelity Singing Voice Generation with Minimal Steps
ConSinger: Efficient High-Fidelity Singing Voice Generation with Minimal Steps
Yulin Song
Guorui Sang
Jing Yu
Chuangbai Xiao
DiffM
37
0
0
20 Oct 2024
Truncated Consistency Models
Truncated Consistency Models
Sangyun Lee
Yilun Xu
Tomas Geffner
Giulia Fanti
Karsten Kreis
Arash Vahdat
Weili Nie
46
3
0
18 Oct 2024
On the Relation Between Linear Diffusion and Power Iteration
On the Relation Between Linear Diffusion and Power Iteration
Dana Weitzner
M. Delbracio
P. Milanfar
Raja Giryes
DiffM
29
0
0
16 Oct 2024
Free Hunch: Denoiser Covariance Estimation for Diffusion Models Without Extra Costs
Free Hunch: Denoiser Covariance Estimation for Diffusion Models Without Extra Costs
Severi Rissanen
Markus Heinonen
Arno Solin
DiffM
66
0
0
15 Oct 2024
A Simple Approach to Unifying Diffusion-based Conditional Generation
A Simple Approach to Unifying Diffusion-based Conditional Generation
Xirui Li
Charles Herrmann
Kelvin C.K. Chan
Yinxiao Li
Deqing Sun
Chao Ma
Ming Yang
DiffM
VLM
38
1
0
15 Oct 2024
Your Mixture-of-Experts LLM Is Secretly an Embedding Model For Free
Your Mixture-of-Experts LLM Is Secretly an Embedding Model For Free
Ziyue Li
Tianyi Zhou
MoE
66
16
0
14 Oct 2024
SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion
  Transformers
SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers
Enze Xie
Junsong Chen
Junyu Chen
Han Cai
Haotian Tang
...
Zhekai Zhang
Muyang Li
Ligeng Zhu
Y. Lu
Song Han
VLM
31
49
0
14 Oct 2024
How to Backdoor Consistency Models?
How to Backdoor Consistency Models?
Chengen Wang
Murat Kantarcioglu
DiffM
AAML
109
1
0
14 Oct 2024
Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think
Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think
Sihyun Yu
Sangkyung Kwak
Huiwon Jang
Jongheon Jeong
Jonathan Huang
Jinwoo Shin
Saining Xie
OCL
68
62
0
09 Oct 2024
DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector
DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector
Jinghan Li
Yuan Gao
Jinda Lu
Junfeng Fang
Congcong Wen
Hui Lin
Xiang Wang
45
0
0
09 Oct 2024
Training-free Diffusion Model Alignment with Sampling Demons
Training-free Diffusion Model Alignment with Sampling Demons
Po-Hung Yeh
Kuang-Huei Lee
Jun-Cheng Chen
24
4
0
08 Oct 2024
Think While You Generate: Discrete Diffusion with Planned Denoising
Think While You Generate: Discrete Diffusion with Planned Denoising
Sulin Liu
Juno Nam
Andrew Campbell
Hannes Stärk
Yilun Xu
Tommi Jaakkola
Rafael Gómez-Bombarelli
DiffM
33
6
0
08 Oct 2024
Continuous Ensemble Weather Forecasting with Diffusion models
Continuous Ensemble Weather Forecasting with Diffusion models
Martin Andrae
Tomas Landelius
Joel Oskarsson
Fredrik Lindsten
AI4Cl
27
2
0
07 Oct 2024
Presto! Distilling Steps and Layers for Accelerating Music Generation
Presto! Distilling Steps and Layers for Accelerating Music Generation
Zachary Novack
Ge Zhu
Jonah Casebeer
Julian McAuley
Taylor Berg-Kirkpatrick
Nicholas J. Bryan
45
5
0
07 Oct 2024
Configurable Multilingual ASR with Speech Summary Representations
Configurable Multilingual ASR with Speech Summary Representations
Harrison Zhu
Ivan Fung
Yingke Zhu
Lahiru Samarakoon
18
6
0
06 Oct 2024
Elucidating the Design Choice of Probability Paths in Flow Matching for Forecasting
Elucidating the Design Choice of Probability Paths in Flow Matching for Forecasting
S. H. Lim
Yijin Wang
Annan Yu
Emma Hart
Michael W. Mahoney
Xiaoye S. Li
N. Benjamin Erichson
AI4TS
42
1
0
04 Oct 2024
Tuning Timestep-Distilled Diffusion Model Using Pairwise Sample Optimization
Tuning Timestep-Distilled Diffusion Model Using Pairwise Sample Optimization
Zichen Miao
Zhengyuan Yang
Kevin Lin
Ze Wang
Zicheng Liu
Lijuan Wang
Qiang Qiu
40
3
0
04 Oct 2024
Joint Localization and Planning using Diffusion
Joint Localization and Planning using Diffusion
Lukas Lao Beyer
S. Karaman
28
0
0
26 Sep 2024
Mitigating Covariate Shift in Imitation Learning for Autonomous Vehicles Using Latent Space Generative World Models
Mitigating Covariate Shift in Imitation Learning for Autonomous Vehicles Using Latent Space Generative World Models
A. Popov
Alperen Degirmenci
David Wehr
Shashank Hegde
Ryan Oldja
...
David Nistér
Urs Muller
Ruchi Bhargava
Stan Birchfield
Nikolai Smolyanskiy
75
9
0
25 Sep 2024
Improvements to SDXL in NovelAI Diffusion V3
Improvements to SDXL in NovelAI Diffusion V3
Juan Ossa
Eren Doğan
Alex Birch
F. Johnson
22
1
0
24 Sep 2024
Fundus image enhancement through direct diffusion bridges
Fundus image enhancement through direct diffusion bridges
Sehui Kim
Hyungjin Chung
Se Hie Park
Eui-Sang Chung
Kayoung Yi
Jong Chul Ye
DiffM
MedIm
20
0
0
19 Sep 2024
Score Forgetting Distillation: A Swift, Data-Free Method for Machine Unlearning in Diffusion Models
Score Forgetting Distillation: A Swift, Data-Free Method for Machine Unlearning in Diffusion Models
Tianqi Chen
Shujian Zhang
Mingyuan Zhou
DiffM
69
3
0
17 Sep 2024
Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think
Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think
Gonzalo Martin Garcia
Karim Abou Zeid
Christian Schmidt
Daan de Geus
Alexander Hermans
Bastian Leibe
37
23
0
17 Sep 2024
Integrating Neural Operators with Diffusion Models Improves Spectral Representation in Turbulence Modeling
Integrating Neural Operators with Diffusion Models Improves Spectral Representation in Turbulence Modeling
Vivek Oommen
Aniruddha Bora
Zhen Zhang
George Karniadakis
DiffM
45
13
0
13 Sep 2024
Alignment of Diffusion Models: Fundamentals, Challenges, and Future
Alignment of Diffusion Models: Fundamentals, Challenges, and Future
Buhua Liu
Shitong Shao
Bao Li
Lichen Bai
Zhiqiang Xu
Haoyi Xiong
James Kwok
Sumi Helal
Zeke Xie
37
11
0
11 Sep 2024
Contrastive Learning with Synthetic Positives
Contrastive Learning with Synthetic Positives
Dewen Zeng
Yawen Wu
Xinrong Hu
Xiaowei Xu
Yiyu Shi
SyDa
SSL
46
1
0
30 Aug 2024
Generative Inbetweening: Adapting Image-to-Video Models for Keyframe Interpolation
Generative Inbetweening: Adapting Image-to-Video Models for Keyframe Interpolation
Xiaojuan Wang
Boyang Zhou
Brian L. Curless
Ira Kemelmacher-Shlizerman
Aleksander Holynski
Steven M. Seitz
DiffM
53
10
0
27 Aug 2024
Atlas Gaussians Diffusion for 3D Generation
Atlas Gaussians Diffusion for 3D Generation
Haitao Yang
Yuan Dong
Hanwen Jiang
Dejia Xu
Georgios Pavlakos
Qixing Huang
3DGS
67
3
0
23 Aug 2024
Real-Time Video Generation with Pyramid Attention Broadcast
Real-Time Video Generation with Pyramid Attention Broadcast
Xuanlei Zhao
Xiaolong Jin
Kai Wang
Yang You
VGen
DiffM
69
31
0
22 Aug 2024
Unsupervised Blind Joint Dereverberation and Room Acoustics Estimation with Diffusion Models
Unsupervised Blind Joint Dereverberation and Room Acoustics Estimation with Diffusion Models
Jean-Marie Lemercier
Eloi Moliner
Simon Welker
Vesa Valimaki
Timo Gerkmann
46
2
0
14 Aug 2024
Diffusion Guided Language Modeling
Diffusion Guided Language Modeling
Justin Lovelace
Varsha Kishore
Yiwei Chen
Kilian Q. Weinberger
36
6
0
08 Aug 2024
Data-Driven Stochastic Closure Modeling via Conditional Diffusion Model and Neural Operator
Data-Driven Stochastic Closure Modeling via Conditional Diffusion Model and Neural Operator
Xinghao Dong
Chuanqi Chen
Jin-Long Wu
DiffM
AI4CE
41
5
0
06 Aug 2024
A Sharp Convergence Theory for The Probability Flow ODEs of Diffusion
  Models
A Sharp Convergence Theory for The Probability Flow ODEs of Diffusion Models
Gen Li
Yuting Wei
Yuejie Chi
Yuxin Chen
DiffM
33
21
0
05 Aug 2024
Adaptive Planning with Generative Models under Uncertainty
Adaptive Planning with Generative Models under Uncertainty
Pascal Jutras-Dubé
Ruqi Zhang
Aniket Bera
21
2
0
02 Aug 2024
Smoothed Energy Guidance: Guiding Diffusion Models with Reduced Energy
  Curvature of Attention
Smoothed Energy Guidance: Guiding Diffusion Models with Reduced Energy Curvature of Attention
Mengkang Hu
DiffM
38
7
0
01 Aug 2024
Learning Feature-Preserving Portrait Editing from Generated Pairs
Learning Feature-Preserving Portrait Editing from Generated Pairs
Bowei Chen
Tiancheng Zhi
Peihao Zhu
Shen Sang
Jing Liu
Linjie Luo
DiffM
17
0
0
29 Jul 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
49
0
0
28 Jul 2024
Denoising L\évy Probabilistic Models
Denoising L\évy Probabilistic Models
Dario Shariatian
Umut Simsekli
Alain Durmus
DiffM
17
2
0
26 Jul 2024
SV4D: Dynamic 3D Content Generation with Multi-Frame and Multi-View Consistency
SV4D: Dynamic 3D Content Generation with Multi-Frame and Multi-View Consistency
Yiming Xie
Chun-Han Yao
Vikram S. Voleti
Huaizu Jiang
Varun Jampani
VGen
70
39
0
24 Jul 2024
Stretching Each Dollar: Diffusion Training from Scratch on a
  Micro-Budget
Stretching Each Dollar: Diffusion Training from Scratch on a Micro-Budget
Vikash Sehwag
Xianghao Kong
Jingtao Li
Michael Spranger
Lingjuan Lyu
DiffM
32
9
0
22 Jul 2024
Not All Noises Are Created Equally:Diffusion Noise Selection and
  Optimization
Not All Noises Are Created Equally:Diffusion Noise Selection and Optimization
Zipeng Qi
Lichen Bai
Haoyi Xiong
Zeke Xie
DiffM
33
17
0
19 Jul 2024
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