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Elucidating the Design Space of Diffusion-Based Generative Models
v1v2 (latest)

Elucidating the Design Space of Diffusion-Based Generative Models

1 June 2022
Tero Karras
M. Aittala
Timo Aila
S. Laine
    DiffM
ArXiv (abs)PDFHTML

Papers citing "Elucidating the Design Space of Diffusion-Based Generative Models"

50 / 1,449 papers shown
Title
Generative Data Assimilation of Sparse Weather Station Observations at Kilometer Scales
Generative Data Assimilation of Sparse Weather Station Observations at Kilometer Scales
Peter Manshausen
Y. Cohen
Jaideep Pathak
Jaideep Pathak
Piyush Garg
Morteza Mardani
K. Kashinath
Simon Byrne
Noah D. Brenowitz
Noah Brenowitz
162
14
0
19 Jun 2024
PIPPIN: Generating variable length full events from partons
PIPPIN: Generating variable length full events from partons
Guillaume Quétant
J. A. Raine
Matthew Leigh
Debajyoti Sengupta
T. Golling
90
3
0
18 Jun 2024
Evaluating the design space of diffusion-based generative models
Evaluating the design space of diffusion-based generative models
Yuqing Wang
Ye He
Molei Tao
DiffM
116
6
0
18 Jun 2024
Variational Distillation of Diffusion Policies into Mixture of Experts
Variational Distillation of Diffusion Policies into Mixture of Experts
Hongyi Zhou
Denis Blessing
Ge Li
Onur Celik
Xiaogang Jia
Gerhard Neumann
Rudolf Lioutikov
DiffM
82
4
0
18 Jun 2024
HumanSplat: Generalizable Single-Image Human Gaussian Splatting with
  Structure Priors
HumanSplat: Generalizable Single-Image Human Gaussian Splatting with Structure Priors
Panwang Pan
Zhuo Su
Chenguo Lin
Zhen Fan
Yongjie Zhang
Zeming Li
Tingting Shen
Yadong Mu
Yebin Liu
3DGS
122
21
0
18 Jun 2024
Universal Score-based Speech Enhancement with High Content Preservation
Universal Score-based Speech Enhancement with High Content Preservation
Robin Scheibler
Yusuke Fujita
Yuma Shirahata
Tatsuya Komatsu
DiffM
121
15
0
18 Jun 2024
COT Flow: Learning Optimal-Transport Image Sampling and Editing by
  Contrastive Pairs
COT Flow: Learning Optimal-Transport Image Sampling and Editing by Contrastive Pairs
Xinrui Zu
Qian Tao
OTDiffM
52
0
0
17 Jun 2024
Diffusion Generative Modelling for Divide-and-Conquer MCMC
Diffusion Generative Modelling for Divide-and-Conquer MCMC
C. Trojan
Paul Fearnhead
C. Nemeth
DiffM
79
1
0
17 Jun 2024
Adversarial Perturbations Cannot Reliably Protect Artists From Generative AI
Adversarial Perturbations Cannot Reliably Protect Artists From Generative AI
Robert Honig
Javier Rando
Nicholas Carlini
Florian Tramèr
WIGMAAML
137
21
0
17 Jun 2024
Lift Your Molecules: Molecular Graph Generation in Latent Euclidean
  Space
Lift Your Molecules: Molecular Graph Generation in Latent Euclidean Space
Mohamed Amine Ketata
Nicholas Gao
Johanna Sommer
Tom Wollschlager
Stephan Günnemann
DiffM
124
2
0
15 Jun 2024
DiffusionBlend: Learning 3D Image Prior through Position-aware Diffusion
  Score Blending for 3D Computed Tomography Reconstruction
DiffusionBlend: Learning 3D Image Prior through Position-aware Diffusion Score Blending for 3D Computed Tomography Reconstruction
Bowen Song
Jason Hu
Zhaoxu Luo
Jeffrey A. Fessler
Liyue Shen
MedImDiffM
94
8
0
14 Jun 2024
BiKC: Keypose-Conditioned Consistency Policy for Bimanual Robotic
  Manipulation
BiKC: Keypose-Conditioned Consistency Policy for Bimanual Robotic Manipulation
Dongjie Yu
Hang Xu
Yizhou Chen
Yi Ren
Jia Pan
97
4
0
14 Jun 2024
LUMA: A Benchmark Dataset for Learning from Uncertain and Multimodal
  Data
LUMA: A Benchmark Dataset for Learning from Uncertain and Multimodal Data
Grigor Bezirganyan
Sana Sellami
Laure Berti-Équille
Sébastien Fournier
81
3
0
14 Jun 2024
CleanDiffuser: An Easy-to-use Modularized Library for Diffusion Models
  in Decision Making
CleanDiffuser: An Easy-to-use Modularized Library for Diffusion Models in Decision Making
Zibin Dong
Yifu Yuan
Jianye Hao
Fei Ni
Yi Ma
Pengyi Li
Yan Zheng
DiffM
106
17
0
13 Jun 2024
Rethinking Score Distillation as a Bridge Between Image Distributions
Rethinking Score Distillation as a Bridge Between Image Distributions
David McAllister
Songwei Ge
Jia-Bin Huang
David W. Jacobs
Alexei A. Efros
Aleksander Holyñski
Angjoo Kanazawa
DiffM
102
15
0
13 Jun 2024
Alleviating Distortion in Image Generation via Multi-Resolution
  Diffusion Models
Alleviating Distortion in Image Generation via Multi-Resolution Diffusion Models
Qihao Liu
Zhanpeng Zeng
Ju He
Qihang Yu
Xiaohui Shen
Liang-Chieh Chen
115
22
0
13 Jun 2024
Advancing Graph Generation through Beta Diffusion
Advancing Graph Generation through Beta Diffusion
Yilin He
Xinyang Liu
Bo Chen
Mingyuan Zhou
DiffM
63
1
0
13 Jun 2024
COVE: Unleashing the Diffusion Feature Correspondence for Consistent
  Video Editing
COVE: Unleashing the Diffusion Feature Correspondence for Consistent Video Editing
Jiangshan Wang
Yue Ma
Jiayi Guo
Yicheng Xiao
Gao Huang
Xiu Li
DiffM
118
24
0
13 Jun 2024
Improving Consistency Models with Generator-Augmented Flows
Improving Consistency Models with Generator-Augmented Flows
Thibaut Issenhuth
Sangchul Lee
Ludovic Dos Santos
Jean-Yves Franceschi
Chansoo Kim
Alain Rakotomamonjy
64
1
0
13 Jun 2024
WonderWorld: Interactive 3D Scene Generation from a Single Image
WonderWorld: Interactive 3D Scene Generation from a Single Image
Hong-Xing Yu
Haoyi Duan
Charles Herrmann
William T. Freeman
Jiajun Wu
3DGSVGen
219
46
0
13 Jun 2024
Diffusion Soup: Model Merging for Text-to-Image Diffusion Models
Diffusion Soup: Model Merging for Text-to-Image Diffusion Models
Benjamin Biggs
Arjun Seshadri
Yang Zou
Achin Jain
Aditya Golatkar
Yusheng Xie
Alessandro Achille
Ashwin Swaminathan
Stefano Soatto
MoMeDiffM
94
13
0
12 Jun 2024
Diff-A-Riff: Musical Accompaniment Co-creation via Latent Diffusion
  Models
Diff-A-Riff: Musical Accompaniment Co-creation via Latent Diffusion Models
J. Nistal
Marco Pasini
Cyran Aouameur
M. Grachten
Stefan Lattner
DiffM
108
19
0
12 Jun 2024
CFG++: Manifold-constrained Classifier Free Guidance for Diffusion
  Models
CFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models
Hyungjin Chung
Jeongsol Kim
Geon Yeong Park
Hyelin Nam
Jong Chul Ye
DiffM
107
35
0
12 Jun 2024
Hierarchical Patch Diffusion Models for High-Resolution Video Generation
Hierarchical Patch Diffusion Models for High-Resolution Video Generation
Ivan Skorokhodov
Willi Menapace
Aliaksandr Siarohin
Sergey Tulyakov
VGen
81
10
0
12 Jun 2024
Unleashing the Denoising Capability of Diffusion Prior for Solving Inverse Problems
Unleashing the Denoising Capability of Diffusion Prior for Solving Inverse Problems
Jiawei Zhang
Jiaxin Zhuang
Cheng Jin
Gen Li
Yuantao Gu
DiffM
153
3
0
11 Jun 2024
Motion Consistency Model: Accelerating Video Diffusion with Disentangled
  Motion-Appearance Distillation
Motion Consistency Model: Accelerating Video Diffusion with Disentangled Motion-Appearance Distillation
Yuanhao Zhai
Kevin Lin
Zhengyuan Yang
Linjie Li
Jianfeng Wang
Chung-Ching Lin
David Doermann
Junsong Yuan
Lijuan Wang
VGenDiffM
98
13
0
11 Jun 2024
AID: Adapting Image2Video Diffusion Models for Instruction-guided Video
  Prediction
AID: Adapting Image2Video Diffusion Models for Instruction-guided Video Prediction
Zhen Xing
Qi Dai
Zejia Weng
Zuxuan Wu
Yu-Gang Jiang
VGen
132
14
0
10 Jun 2024
Ctrl-V: Higher Fidelity Video Generation with Bounding-Box Controlled
  Object Motion
Ctrl-V: Higher Fidelity Video Generation with Bounding-Box Controlled Object Motion
Ge Ya Luo
Zhi Hao Luo
Anthony Gosselin
Alexia Jolicoeur-Martineau
Christopher Pal
VGenDiffM
66
0
0
09 Jun 2024
Diffusion Models in $\textit{De Novo}$ Drug Design
Diffusion Models in De Novo\textit{De Novo}De Novo Drug Design
Amira Alakhdar
Barnabas Poczos
Newell Washburn
MedIm
107
27
0
07 Jun 2024
BitsFusion: 1.99 bits Weight Quantization of Diffusion Model
BitsFusion: 1.99 bits Weight Quantization of Diffusion Model
Yang Sui
Yanyu Li
Anil Kag
Yerlan Idelbayev
Junli Cao
Ju Hu
Dhritiman Sagar
Bo Yuan
Sergey Tulyakov
Jian Ren
MQ
94
22
0
06 Jun 2024
SF-V: Single Forward Video Generation Model
SF-V: Single Forward Video Generation Model
Zhixing Zhang
Yanyu Li
Yushu Wu
Yanwu Xu
Anil Kag
...
Aliaksandr Siarohin
Junli Cao
Dimitris N. Metaxas
Sergey Tulyakov
Jian Ren
DiffMVGen
82
13
0
06 Jun 2024
ReNO: Enhancing One-step Text-to-Image Models through Reward-based Noise
  Optimization
ReNO: Enhancing One-step Text-to-Image Models through Reward-based Noise Optimization
L. Eyring
Shyamgopal Karthik
Karsten Roth
Alexey Dosovitskiy
Zeynep Akata
166
28
0
06 Jun 2024
Multistep Distillation of Diffusion Models via Moment Matching
Multistep Distillation of Diffusion Models via Moment Matching
Tim Salimans
Thomas Mensink
Jonathan Heek
Emiel Hoogeboom
DiffM
84
32
0
06 Jun 2024
Lumina-Next: Making Lumina-T2X Stronger and Faster with Next-DiT
Lumina-Next: Making Lumina-T2X Stronger and Faster with Next-DiT
Le Zhuo
Ruoyi Du
Han Xiao
Yangguang Li
Dongyang Liu
...
Wanli Ouyang
Ziwei Liu
Ping Luo
Hongsheng Li
Peng Gao
118
58
0
05 Jun 2024
Ouroboros3D: Image-to-3D Generation via 3D-aware Recursive Diffusion
Ouroboros3D: Image-to-3D Generation via 3D-aware Recursive Diffusion
Hao Wen
Zehuan Huang
Yaohui Wang
Xinyuan Chen
Yu Qiao
169
9
0
05 Jun 2024
CamCo: Camera-Controllable 3D-Consistent Image-to-Video Generation
CamCo: Camera-Controllable 3D-Consistent Image-to-Video Generation
Dejia Xu
Weili Nie
Chao Liu
Sifei Liu
Jan Kautz
Zhangyang Wang
Arash Vahdat
DiffMVGen
139
59
0
04 Jun 2024
Guiding a Diffusion Model with a Bad Version of Itself
Guiding a Diffusion Model with a Bad Version of Itself
Tero Karras
M. Aittala
Tuomas Kynkaanniemi
J. Lehtinen
Timo Aila
S. Laine
127
90
0
04 Jun 2024
Learning Image Priors through Patch-based Diffusion Models for Solving
  Inverse Problems
Learning Image Priors through Patch-based Diffusion Models for Solving Inverse Problems
Jason Hu
Bowen Song
Xiaojian Xu
Liyue Shen
Jeffrey A. Fessler
MedImDiffM
106
8
0
04 Jun 2024
Flash Diffusion: Accelerating Any Conditional Diffusion Model for Few
  Steps Image Generation
Flash Diffusion: Accelerating Any Conditional Diffusion Model for Few Steps Image Generation
Clement Chadebec
O. Tasar
Eyal Benaroche
Benjamin Aubin
VLM
128
14
0
04 Jun 2024
The Crystal Ball Hypothesis in diffusion models: Anticipating object
  positions from initial noise
The Crystal Ball Hypothesis in diffusion models: Anticipating object positions from initial noise
Yuanhao Ban
Ruochen Wang
Tianyi Zhou
Boqing Gong
Cho-Jui Hsieh
Minhao Cheng
DiffM
117
6
0
04 Jun 2024
Image steganography based on generative implicit neural representation
Image steganography based on generative implicit neural representation
Zhong Yangjie
Liu Jia
Ke Yan
Liu Meiqi
DiffMGAN
103
0
0
04 Jun 2024
Diffusion Boosted Trees
Diffusion Boosted Trees
Xizewen Han
Mingyuan Zhou
AI4CE
121
0
0
03 Jun 2024
Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching
Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching
Xinyin Ma
Gongfan Fang
Michael Bi Mi
Xinchao Wang
122
44
0
03 Jun 2024
$Δ$-DiT: A Training-Free Acceleration Method Tailored for Diffusion
  Transformers
ΔΔΔ-DiT: A Training-Free Acceleration Method Tailored for Diffusion Transformers
Pengtao Chen
Mingzhu Shen
Peng Ye
Jianjian Cao
Chongjun Tu
C. Bouganis
Yiren Zhao
Tao Chen
131
44
0
03 Jun 2024
Learning Temporally Consistent Video Depth from Video Diffusion Priors
Learning Temporally Consistent Video Depth from Video Diffusion Priors
Jiahao Shao
Yuanbo Yang
Hongyu Zhou
Youmin Zhang
Yujun Shen
Vitor Campagnolo Guizilini
Yue Wang
Matteo Poggi
Yiyi Liao
VGenDiffMMDE
125
43
0
03 Jun 2024
Diffusion Tuning: Transferring Diffusion Models via Chain of Forgetting
Diffusion Tuning: Transferring Diffusion Models via Chain of Forgetting
Jincheng Zhong
Xingzhuo Guo
Jiaxiang Dong
Mingsheng Long
DiffM
101
2
0
02 Jun 2024
AudioLCM: Text-to-Audio Generation with Latent Consistency Models
AudioLCM: Text-to-Audio Generation with Latent Consistency Models
Huadai Liu
Rongjie Huang
Yang Liu
Hengyuan Cao
Jialei Wang
Xize Cheng
Siqi Zheng
Zhou Zhao
129
10
0
01 Jun 2024
Sifting through the Noise: A Survey of Diffusion Probabilistic Models
  and Their Applications to Biomolecules
Sifting through the Noise: A Survey of Diffusion Probabilistic Models and Their Applications to Biomolecules
Trevor Norton
Debswapna Bhattacharya
MedImDiffM
99
2
0
31 May 2024
Mixed Diffusion for 3D Indoor Scene Synthesis
Mixed Diffusion for 3D Indoor Scene Synthesis
Siyi Hu
Diego Martin Arroyo
Stephanie Debats
Fabian Manhardt
Luca Carlone
Federico Tombari
DiffM
91
6
0
31 May 2024
Unified Directly Denoising for Both Variance Preserving and Variance
  Exploding Diffusion Models
Unified Directly Denoising for Both Variance Preserving and Variance Exploding Diffusion Models
Jingjing Wang
Dan Zhang
Feng Luo
DiffM
69
0
0
31 May 2024
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