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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
UniG3D: A Unified 3D Object Generation Dataset
UniG3D: A Unified 3D Object Generation Dataset
Qinghong Sun
Yangguang Li
Zexia Liu
Xiaoshui Huang
Fenggang Liu
Xihui Liu
Wanli Ouyang
Jing Shao
84
6
0
19 Jun 2023
GenPose: Generative Category-level Object Pose Estimation via Diffusion
  Models
GenPose: Generative Category-level Object Pose Estimation via Diffusion Models
Jiyao Zhang
Min-Yu Wu
Hao Dong
DiffM
141
40
0
18 Jun 2023
Group Orthogonalization Regularization For Vision Models Adaptation and
  Robustness
Group Orthogonalization Regularization For Vision Models Adaptation and Robustness
Yoav Kurtz
Noga Bar
Raja Giryes
60
0
0
16 Jun 2023
Energy-Based Cross Attention for Bayesian Context Update in
  Text-to-Image Diffusion Models
Energy-Based Cross Attention for Bayesian Context Update in Text-to-Image Diffusion Models
Geon Yeong Park
Jeongsol Kim
Beomsu Kim
Sang Wan Lee
Jong Chul Ye
DiffM
76
22
0
16 Jun 2023
Fast Training of Diffusion Models with Masked Transformers
Fast Training of Diffusion Models with Masked Transformers
Hongkai Zheng
Weili Nie
Arash Vahdat
Anima Anandkumar
DiffM
121
73
0
15 Jun 2023
Towards Faster Non-Asymptotic Convergence for Diffusion-Based Generative
  Models
Towards Faster Non-Asymptotic Convergence for Diffusion-Based Generative Models
Gen Li
Yuting Wei
Yuxin Chen
Yuejie Chi
DiffM
123
62
0
15 Jun 2023
Norm-guided latent space exploration for text-to-image generation
Norm-guided latent space exploration for text-to-image generation
Dvir Samuel
Rami Ben-Ari
N. Darshan
Haggai Maron
Gal Chechik
DiffM
109
26
0
14 Jun 2023
Training-free Diffusion Model Adaptation for Variable-Sized
  Text-to-Image Synthesis
Training-free Diffusion Model Adaptation for Variable-Sized Text-to-Image Synthesis
Zhiyu Jin
Xuli Shen
Bin Li
Xiangyang Xue
82
38
0
14 Jun 2023
StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion
  and Adversarial Training with Large Speech Language Models
StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models
Yinghao Aaron Li
Cong Han
Vinay S. Raghavan
Gavin Mischler
N. Mesgarani
VLMDiffM
145
127
0
13 Jun 2023
User-defined Event Sampling and Uncertainty Quantification in Diffusion
  Models for Physical Dynamical Systems
User-defined Event Sampling and Uncertainty Quantification in Diffusion Models for Physical Dynamical Systems
Marc Finzi
Anudhyan Boral
A. Wilson
Fei Sha
Leonardo Zepeda-Núñez
DiffM
96
23
0
13 Jun 2023
Scalable 3D Captioning with Pretrained Models
Scalable 3D Captioning with Pretrained Models
Tiange Luo
C. Rockwell
Honglak Lee
Justin Johnson
119
160
0
12 Jun 2023
Diffusion Models for Black-Box Optimization
Diffusion Models for Black-Box Optimization
S. Krishnamoorthy
Satvik Mashkaria
Aditya Grover
DiffM
134
59
0
12 Jun 2023
Fast Diffusion Model
Fast Diffusion Model
Zike Wu
Pan Zhou
Kenji Kawaguchi
Hanwang Zhang
DiffM
95
22
0
12 Jun 2023
VillanDiffusion: A Unified Backdoor Attack Framework for Diffusion
  Models
VillanDiffusion: A Unified Backdoor Attack Framework for Diffusion Models
Sheng-Yen Chou
Pin-Yu Chen
Tsung-Yi Ho
DiffM
108
56
0
12 Jun 2023
On Kinetic Optimal Probability Paths for Generative Models
On Kinetic Optimal Probability Paths for Generative Models
Neta Shaul
Ricky T. Q. Chen
Maximilian Nickel
Matt Le
Y. Lipman
OT
75
26
0
11 Jun 2023
Neural Haircut: Prior-Guided Strand-Based Hair Reconstruction
Neural Haircut: Prior-Guided Strand-Based Hair Reconstruction
V. Sklyarova
Jenya Chelishev
Andreea Dogaru
Igor Medvedev
Victor Lempitsky
Egor Zakharov
3DH
73
26
0
09 Jun 2023
Beyond Surface Statistics: Scene Representations in a Latent Diffusion
  Model
Beyond Surface Statistics: Scene Representations in a Latent Diffusion Model
Yida Chen
Fernanda Viégas
Martin Wattenberg
DiffM
68
24
0
09 Jun 2023
BOOT: Data-free Distillation of Denoising Diffusion Models with
  Bootstrapping
BOOT: Data-free Distillation of Denoising Diffusion Models with Bootstrapping
Jiatao Gu
Shuangfei Zhai
Yizhe Zhang
Lingjie Liu
J. Susskind
DiffM
71
76
0
08 Jun 2023
Towards Predicting Equilibrium Distributions for Molecular Systems with
  Deep Learning
Towards Predicting Equilibrium Distributions for Molecular Systems with Deep Learning
Shuxin Zheng
Jiyan He
Chang-Shu Liu
Yu Shi
Ziheng Lu
...
Peiran Jin
Chi Chen
Frank Noé
Haiguang Liu
Tie-Yan Liu
AI4CE
92
41
0
08 Jun 2023
PriSampler: Mitigating Property Inference of Diffusion Models
PriSampler: Mitigating Property Inference of Diffusion Models
Hailong Hu
Jun Pang
DiffM
79
3
0
08 Jun 2023
Interpreting and Improving Diffusion Models from an Optimization
  Perspective
Interpreting and Improving Diffusion Models from an Optimization Perspective
Frank Permenter
Chenyang Yuan
DiffM
83
4
0
08 Jun 2023
WOUAF: Weight Modulation for User Attribution and Fingerprinting in
  Text-to-Image Diffusion Models
WOUAF: Weight Modulation for User Attribution and Fingerprinting in Text-to-Image Diffusion Models
Changhoon Kim
Kyle Min
Maitreya Patel
Sheng Cheng
Yezhou Yang
WIGM
121
30
0
07 Jun 2023
A Comprehensive Survey on Generative Diffusion Models for Structured
  Data
A Comprehensive Survey on Generative Diffusion Models for Structured Data
Heejoon Koo
To Eun Kim
DiffMMedIm
74
7
0
07 Jun 2023
On the Design Fundamentals of Diffusion Models: A Survey
On the Design Fundamentals of Diffusion Models: A Survey
Ziyi Chang
George Alex Koulieris
Hyung Jin Chang
Hubert P. H. Shum
DiffM
186
56
0
07 Jun 2023
Emergent Correspondence from Image Diffusion
Emergent Correspondence from Image Diffusion
Luming Tang
Menglin Jia
Qianqian Wang
Cheng Perng Phoo
Bharath Hariharan
123
270
0
06 Jun 2023
Optimizing Sampling Patterns for Compressed Sensing MRI with Diffusion
  Generative Models
Optimizing Sampling Patterns for Compressed Sensing MRI with Diffusion Generative Models
Sriram Ravula
Brett Levac
A. Jalal
Jonathan I. Tamir
A. Dimakis
DiffMMedIm
62
16
0
05 Jun 2023
MotionDiffuser: Controllable Multi-Agent Motion Prediction using
  Diffusion
MotionDiffuser: Controllable Multi-Agent Motion Prediction using Diffusion
C. Jiang
Andre Cornman
C. Park
Benjamin Sapp
Yin Zhou
Drago Anguelov
DiffM
105
142
0
05 Jun 2023
Complex Preferences for Different Convergent Priors in Discrete Graph
  Diffusion
Complex Preferences for Different Convergent Priors in Discrete Graph Diffusion
Alex Tseng
N. Diamant
Tommaso Biancalani
Gabriele Scalia
DiffM
53
1
0
05 Jun 2023
Detector Guidance for Multi-Object Text-to-Image Generation
Detector Guidance for Multi-Object Text-to-Image Generation
Luping Liu
Zijian Zhang
Yi Ren
Rongjie Huang
Xiang Yin
Zhou Zhao
DiffM
93
10
0
04 Jun 2023
Exploring the Optimal Choice for Generative Processes in Diffusion
  Models: Ordinary vs Stochastic Differential Equations
Exploring the Optimal Choice for Generative Processes in Diffusion Models: Ordinary vs Stochastic Differential Equations
Yu Cao
Jingrun Chen
Yixin Luo
Xiaoping Zhou
DiffM
101
9
0
03 Jun 2023
DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal
  Forecasting
DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting
Salva Rühling Cachay
Bo Zhao
Hailey James
Rose Yu
DiffMAI4TS
227
69
0
03 Jun 2023
GANs Settle Scores!
GANs Settle Scores!
Siddarth Asokan
Nishanth Shetty
Aadithya Srikanth
C. Seelamantula
83
0
0
02 Jun 2023
PolyDiffuse: Polygonal Shape Reconstruction via Guided Set Diffusion
  Models
PolyDiffuse: Polygonal Shape Reconstruction via Guided Set Diffusion Models
Jiacheng Chen
Ruizhi Deng
Yasutaka Furukawa
DiffM
117
24
0
02 Jun 2023
Blind Audio Bandwidth Extension: A Diffusion-Based Zero-Shot Approach
Blind Audio Bandwidth Extension: A Diffusion-Based Zero-Shot Approach
Eloi Moliner
Filip Elvander
Vesa Valimaki
DiffM
99
12
0
02 Jun 2023
White-Box Transformers via Sparse Rate Reduction
White-Box Transformers via Sparse Rate Reduction
Yaodong Yu
Sam Buchanan
Druv Pai
Tianzhe Chu
Ziyang Wu
Shengbang Tong
B. Haeffele
Yi Ma
ViT
110
87
0
01 Jun 2023
SnapFusion: Text-to-Image Diffusion Model on Mobile Devices within Two
  Seconds
SnapFusion: Text-to-Image Diffusion Model on Mobile Devices within Two Seconds
Yanyu Li
Huan Wang
Qing Jin
Ju Hu
Pavlo Chemerys
Yun Fu
Yanzhi Wang
Sergey Tulyakov
Jian Ren
VLM
147
165
0
01 Jun 2023
Extracting Reward Functions from Diffusion Models
Extracting Reward Functions from Diffusion Models
Felipe Nuti
Tim Franzmeyer
João F. Henriques
90
15
0
01 Jun 2023
Cocktail: Mixing Multi-Modality Controls for Text-Conditional Image
  Generation
Cocktail: Mixing Multi-Modality Controls for Text-Conditional Image Generation
Minghui Hu
Jianbin Zheng
Daqing Liu
Chuanxia Zheng
Chaoyue Wang
Dacheng Tao
Tat-Jen Cham
DiffM
78
9
0
01 Jun 2023
Differential Diffusion: Giving Each Pixel Its Strength
Differential Diffusion: Giving Each Pixel Its Strength
E. Levin
Ohad Fried
DiffM
88
21
0
01 Jun 2023
UnDiff: Unsupervised Voice Restoration with Unconditional Diffusion
  Model
UnDiff: Unsupervised Voice Restoration with Unconditional Diffusion Model
A. Iashchenko
Pavel Andreev
Ivan Shchekotov
Nicholas Babaev
Dmitry Vetrov
DiffM
90
2
0
01 Jun 2023
On the Equivalence of Consistency-Type Models: Consistency Models,
  Consistent Diffusion Models, and Fokker-Planck Regularization
On the Equivalence of Consistency-Type Models: Consistency Models, Consistent Diffusion Models, and Fokker-Planck Regularization
Chieh-Hsin Lai
Yuhta Takida
Toshimitsu Uesaka
Naoki Murata
Yuki Mitsufuji
Stefano Ermon
DiffM
83
10
0
01 Jun 2023
Addressing Negative Transfer in Diffusion Models
Addressing Negative Transfer in Diffusion Models
Hyojun Go
Jinyoung Kim
Yunsung Lee
Seunghyun Lee
Shinhyeok Oh
Hyeongdon Moon
Seungtaek Choi
DiffMVLM
133
26
0
01 Jun 2023
Diffusion Brush: A Latent Diffusion Model-based Editing Tool for
  AI-generated Images
Diffusion Brush: A Latent Diffusion Model-based Editing Tool for AI-generated Images
Peyman Gholami
R. Xiao
DiffM
116
3
0
31 May 2023
A Geometric Perspective on Diffusion Models
A Geometric Perspective on Diffusion Models
Defang Chen
Zhenyu Zhou
Jianhan Mei
Chunhua Shen
Chun-Yen Chen
C. Wang
DiffM
78
20
0
31 May 2023
Direct Diffusion Bridge using Data Consistency for Inverse Problems
Direct Diffusion Bridge using Data Consistency for Inverse Problems
Hyungjin Chung
Jeongsol Kim
Jong Chul Ye
DiffM
80
55
0
31 May 2023
Chain of Log-Concave Markov Chains
Chain of Log-Concave Markov Chains
Saeed Saremi
Ji Won Park
Francis R. Bach
69
7
0
31 May 2023
Ambient Diffusion: Learning Clean Distributions from Corrupted Data
Ambient Diffusion: Learning Clean Distributions from Corrupted Data
Giannis Daras
Kulin Shah
Y. Dagan
Aravind Gollakota
A. Dimakis
Adam R. Klivans
DiffM
132
76
0
30 May 2023
Likelihood-Based Diffusion Language Models
Likelihood-Based Diffusion Language Models
Ishaan Gulrajani
Tatsunori B. Hashimoto
DiffM
114
62
0
30 May 2023
Which Models have Perceptually-Aligned Gradients? An Explanation via
  Off-Manifold Robustness
Which Models have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness
Suraj Srinivas
Sebastian Bordt
Hima Lakkaraju
AAML
97
13
0
30 May 2023
Functional-Group-Based Diffusion for Pocket-Specific Molecule Generation
  and Elaboration
Functional-Group-Based Diffusion for Pocket-Specific Molecule Generation and Elaboration
Haitao Lin
Yufei Huang
Haotian Zhang
Lirong Wu
Siyuan Li
Zhiyuan Chen
Stan Z. Li
DiffM
122
27
0
30 May 2023
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