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Diffusion Models Beat GANs on Image Synthesis
v1v2v3v4 (latest)

Diffusion Models Beat GANs on Image Synthesis

11 May 2021
Prafulla Dhariwal
Alex Nichol
ArXiv (abs)PDFHTMLGithub (6795★)

Papers citing "Diffusion Models Beat GANs on Image Synthesis"

50 / 5,134 papers shown
Title
Effective Data Augmentation With Diffusion Models
Effective Data Augmentation With Diffusion Models
Brandon Trabucco
Kyle Doherty
Max Gurinas
Ruslan Salakhutdinov
DiffMVLM
116
257
0
07 Feb 2023
Spatial Functa: Scaling Functa to ImageNet Classification and Generation
Spatial Functa: Scaling Functa to ImageNet Classification and Generation
Matthias Bauer
Emilien Dupont
Andy Brock
Dan Rosenbaum
Jonathan Richard Schwarz
Hyunjik Kim
DiffM
128
41
0
06 Feb 2023
Zero-shot Image-to-Image Translation
Zero-shot Image-to-Image Translation
Gaurav Parmar
Krishna Kumar Singh
Richard Y. Zhang
Yijun Li
Jingwan Lu
Jun-Yan Zhu
DiffM
124
454
0
06 Feb 2023
Beyond Statistical Similarity: Rethinking Metrics for Deep Generative
  Models in Engineering Design
Beyond Statistical Similarity: Rethinking Metrics for Deep Generative Models in Engineering Design
Lyle Regenwetter
Akash Srivastava
Dan Gutfreund
Faez Ahmed
109
30
0
06 Feb 2023
Mixture of Diffusers for scene composition and high resolution image
  generation
Mixture of Diffusers for scene composition and high resolution image generation
Á. Jiménez
DiffM
73
46
0
05 Feb 2023
Diffusion Model for Generative Image Denoising
Diffusion Model for Generative Image Denoising
Yutong Xie
Minne Yuan
Bin Dong
Quanzheng Li
DiffM
69
33
0
05 Feb 2023
ShiftDDPMs: Exploring Conditional Diffusion Models by Shifting Diffusion
  Trajectories
ShiftDDPMs: Exploring Conditional Diffusion Models by Shifting Diffusion Trajectories
Zijian Zhang
Zhou Zhao
Jun Yu
Qi Tian
DiffM
45
14
0
05 Feb 2023
Using Intermediate Forward Iterates for Intermediate Generator
  Optimization
Using Intermediate Forward Iterates for Intermediate Generator Optimization
Harshit Mishra
Jurijs Nazarovs
Manmohan Dogra
Sathya Ravi
DiffM
46
0
0
05 Feb 2023
ReDi: Efficient Learning-Free Diffusion Inference via Trajectory
  Retrieval
ReDi: Efficient Learning-Free Diffusion Inference via Trajectory Retrieval
Kexun Zhang
Xianjun Yang
William Yang Wang
Lei Li
DiffM
118
10
0
05 Feb 2023
Divide and Compose with Score Based Generative Models
Divide and Compose with Score Based Generative Models
S. Ghimire
Armand Comas
Davin Hill
A. Masoomi
Mario Sznaier
Jennifer Dy
DiffM
61
0
0
05 Feb 2023
Multi-Source Diffusion Models for Simultaneous Music Generation and
  Separation
Multi-Source Diffusion Models for Simultaneous Music Generation and Separation
Giorgio Mariani
Irene Tallini
Emilian Postolache
Michele Mancusi
Luca Cosmo
Emanuele Rodolà
DiffM
149
43
0
04 Feb 2023
AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners
AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners
Zhixuan Liang
Yao Mu
Mingyu Ding
Fei Ni
Masayoshi Tomizuka
Ping Luo
168
111
0
03 Feb 2023
A Lipschitz Bandits Approach for Continuous Hyperparameter Optimization
A Lipschitz Bandits Approach for Continuous Hyperparameter Optimization
Yasong Feng
Weijian Luo
Yimin Huang
Tianyu Wang
54
8
0
03 Feb 2023
Dreamix: Video Diffusion Models are General Video Editors
Dreamix: Video Diffusion Models are General Video Editors
Eyal Molad
Eliahu Horwitz
Dani Valevski
Alex Rav-Acha
Yossi Matias
Yael Pritch
Yaniv Leviathan
Yedid Hoshen
DiffMVGen
131
188
0
02 Feb 2023
Are Diffusion Models Vulnerable to Membership Inference Attacks?
Are Diffusion Models Vulnerable to Membership Inference Attacks?
Jinhao Duan
Fei Kong
Shiqi Wang
Xiaoshuang Shi
Kaidi Xu
94
118
0
02 Feb 2023
A Theoretical Justification for Image Inpainting using Denoising
  Diffusion Probabilistic Models
A Theoretical Justification for Image Inpainting using Denoising Diffusion Probabilistic Models
Litu Rout
Advait Parulekar
Constantine Caramanis
Sanjay Shakkottai
DiffM
87
58
0
02 Feb 2023
Improving and generalizing flow-based generative models with minibatch
  optimal transport
Improving and generalizing flow-based generative models with minibatch optimal transport
Alexander Tong
Kilian Fatras
Nikolay Malkin
G. Huguet
Yanlei Zhang
Jarrid Rector-Brooks
Guy Wolf
Yoshua Bengio
OODDiffMOT
132
308
0
01 Feb 2023
Neural Wavelet-domain Diffusion for 3D Shape Generation, Inversion, and
  Manipulation
Neural Wavelet-domain Diffusion for 3D Shape Generation, Inversion, and Manipulation
Jingyu Hu
Ka-Hei Hui
Zhengzhe Liu
Ruihui Li
Chi-Wing Fu
DiffM
82
17
0
01 Feb 2023
Salient Conditional Diffusion for Defending Against Backdoor Attacks
Salient Conditional Diffusion for Defending Against Backdoor Attacks
Brandon B. May
N. Joseph Tatro
Dylan Walker
Piyush Kumar
N. Shnidman
DiffM
66
8
0
31 Jan 2023
Zero-shot-Learning Cross-Modality Data Translation Through Mutual
  Information Guided Stochastic Diffusion
Zero-shot-Learning Cross-Modality Data Translation Through Mutual Information Guided Stochastic Diffusion
Zihao Wang
Yingyu Yang
Maxime Sermesant
H. Delingette
Ona Wu
DiffMMedIm
85
7
0
31 Jan 2023
DisDiff: Unsupervised Disentanglement of Diffusion Probabilistic Models
DisDiff: Unsupervised Disentanglement of Diffusion Probabilistic Models
Tao Yang
Yuwang Wang
Yan Lv
Nanning Zh
DiffM
144
24
0
31 Jan 2023
InstructTTS: Modelling Expressive TTS in Discrete Latent Space with
  Natural Language Style Prompt
InstructTTS: Modelling Expressive TTS in Discrete Latent Space with Natural Language Style Prompt
Dongchao Yang
Songxiang Liu
Rongjie Huang
Chao Weng
Helen Meng
DiffMVLM
89
102
0
31 Jan 2023
Transport with Support: Data-Conditional Diffusion Bridges
Transport with Support: Data-Conditional Diffusion Bridges
Ella Tamir
Martin Trapp
Arno Solin
DiffMOT
73
7
0
31 Jan 2023
Learning Data Representations with Joint Diffusion Models
Learning Data Representations with Joint Diffusion Models
Kamil Deja
Tomasz Trzciñski
Jakub M. Tomczak
DiffM
83
15
0
31 Jan 2023
A Comprehensive Survey of Continual Learning: Theory, Method and
  Application
A Comprehensive Survey of Continual Learning: Theory, Method and Application
Liyuan Wang
Xingxing Zhang
Hang Su
Jun Zhu
KELMCLL
236
714
0
31 Jan 2023
Optimizing DDPM Sampling with Shortcut Fine-Tuning
Optimizing DDPM Sampling with Shortcut Fine-Tuning
Ying Fan
Kangwook Lee
113
60
0
31 Jan 2023
Extracting Training Data from Diffusion Models
Extracting Training Data from Diffusion Models
Nicholas Carlini
Jamie Hayes
Milad Nasr
Matthew Jagielski
Vikash Sehwag
Florian Tramèr
Borja Balle
Daphne Ippolito
Eric Wallace
DiffM
147
620
0
30 Jan 2023
Shape-aware Text-driven Layered Video Editing
Shape-aware Text-driven Layered Video Editing
Yao-Chih Lee
Ji-Ze Jang
Yi-Ting Chen
Elizabeth Qiu
Jia-Bin Huang
VGenDiffM
87
54
0
30 Jan 2023
GALIP: Generative Adversarial CLIPs for Text-to-Image Synthesis
GALIP: Generative Adversarial CLIPs for Text-to-Image Synthesis
Ming Tao
Bingkun Bao
Hao Tang
Changsheng Xu
DiffMVLM
117
109
0
30 Jan 2023
GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse
  Problems with Denoising Diffusion Restoration
GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse Problems with Denoising Diffusion Restoration
Naoki Murata
Koichi Saito
Chieh-Hsin Lai
Yuhta Takida
Toshimitsu Uesaka
Yuki Mitsufuji
Stefano Ermon
DiffM
144
54
0
30 Jan 2023
Make-An-Audio: Text-To-Audio Generation with Prompt-Enhanced Diffusion
  Models
Make-An-Audio: Text-To-Audio Generation with Prompt-Enhanced Diffusion Models
Rongjie Huang
Jia-Bin Huang
Dongchao Yang
Yi Ren
Luping Liu
Mingze Li
Zhenhui Ye
Jinglin Liu
Xiaoyue Yin
Zhou Zhao
DiffM
238
344
0
30 Jan 2023
AudioLDM: Text-to-Audio Generation with Latent Diffusion Models
AudioLDM: Text-to-Audio Generation with Latent Diffusion Models
Haohe Liu
Zehua Chen
Yiitan Yuan
Xinhao Mei
Xubo Liu
Danilo Mandic
Wenwu Wang
Mark D. Plumbley
DiffM
177
509
0
29 Jan 2023
Generating Novel, Designable, and Diverse Protein Structures by
  Equivariantly Diffusing Oriented Residue Clouds
Generating Novel, Designable, and Diverse Protein Structures by Equivariantly Diffusing Oriented Residue Clouds
Yeqing Lin
Mohammed AlQuraishi
DiffMAI4CE
75
77
0
29 Jan 2023
Don't Play Favorites: Minority Guidance for Diffusion Models
Don't Play Favorites: Minority Guidance for Diffusion Models
Soo Bin Um
Suhyeon Lee
Jong Chul Ye
DiffM
101
26
0
29 Jan 2023
Emerging Synergies in Causality and Deep Generative Models: A Survey
Emerging Synergies in Causality and Deep Generative Models: A Survey
Guanglin Zhou
Shaoan Xie
Guang-Yuan Hao
Shiming Chen
Erdun Gao
Xiwei Xu
Chen Wang
Liming Zhu
Lina Yao
Kun Zhang
AI4CE
147
11
0
29 Jan 2023
SEGA: Instructing Text-to-Image Models using Semantic Guidance
SEGA: Instructing Text-to-Image Models using Semantic Guidance
Manuel Brack
Felix Friedrich
Dominik Hintersdorf
Lukas Struppek
P. Schramowski
Kristian Kersting
DiffMVLM
44
0
0
28 Jan 2023
Pre-Training Protein Encoder via Siamese Sequence-Structure Diffusion
  Trajectory Prediction
Pre-Training Protein Encoder via Siamese Sequence-Structure Diffusion Trajectory Prediction
Zuobai Zhang
Minghao Xu
A. Lozano
Vijil Chenthamarakshan
Payel Das
Jian Tang
DiffM
88
21
0
28 Jan 2023
Minimizing Trajectory Curvature of ODE-based Generative Models
Minimizing Trajectory Curvature of ODE-based Generative Models
Sangyun Lee
Beomsu Kim
Jong Chul Ye
145
60
0
27 Jan 2023
SWARM Parallelism: Training Large Models Can Be Surprisingly
  Communication-Efficient
SWARM Parallelism: Training Large Models Can Be Surprisingly Communication-Efficient
Max Ryabinin
Tim Dettmers
Michael Diskin
Alexander Borzunov
MoE
111
38
0
27 Jan 2023
Diffusion Models as Artists: Are we Closing the Gap between Humans and
  Machines?
Diffusion Models as Artists: Are we Closing the Gap between Humans and Machines?
Victor Boutin
Thomas Fel
Lakshya Singhal
Rishav Mukherji
Akash Nagaraj
Julien Colin
Thomas Serre
DiffM
72
6
0
27 Jan 2023
Input Perturbation Reduces Exposure Bias in Diffusion Models
Input Perturbation Reduces Exposure Bias in Diffusion Models
Mang Ning
E. Sangineto
Angelo Porrello
Simone Calderara
Rita Cucchiara
DiffM
96
67
0
27 Jan 2023
A Denoising Diffusion Model for Fluid Field Prediction
A Denoising Diffusion Model for Fluid Field Prediction
Gefan Yang
Stefan Sommer
DiffMAI4CE
78
28
0
27 Jan 2023
Accelerating Guided Diffusion Sampling with Splitting Numerical Methods
Accelerating Guided Diffusion Sampling with Splitting Numerical Methods
Suttisak Wizadwongsa
Supasorn Suwajanakorn
DiffM
96
14
0
27 Jan 2023
PLay: Parametrically Conditioned Layout Generation using Latent
  Diffusion
PLay: Parametrically Conditioned Layout Generation using Latent Diffusion
Ching-Yi Cheng
Forrest Huang
Gang Li
Yang Li
DiffM
72
29
0
27 Jan 2023
Diffusion Denoising for Low-Dose-CT Model
Runyi Li
DiffMMedIm
38
0
0
27 Jan 2023
Text-To-4D Dynamic Scene Generation
Text-To-4D Dynamic Scene Generation
Uriel Singer
Shelly Sheynin
Adam Polyak
Oron Ashual
Iurii Makarov
...
Naman Goyal
Andrea Vedaldi
Devi Parikh
Justin Johnson
Yaniv Taigman
DiffM
105
156
0
26 Jan 2023
Simple diffusion: End-to-end diffusion for high resolution images
Simple diffusion: End-to-end diffusion for high resolution images
Emiel Hoogeboom
Jonathan Heek
Tim Salimans
108
268
0
26 Jan 2023
On the Importance of Noise Scheduling for Diffusion Models
On the Importance of Noise Scheduling for Diffusion Models
Ting Chen
DiffM
112
161
0
26 Jan 2023
Imitating Human Behaviour with Diffusion Models
Imitating Human Behaviour with Diffusion Models
Tim Pearce
Tabish Rashid
Anssi Kanervisto
David Bignell
Mingfei Sun
...
Sergio Valcarcel Macua
Shan Zheng Tan
Ida Momennejad
Katja Hofmann
Sam Devlin
DiffM
132
222
0
25 Jan 2023
Solving Inverse Physics Problems with Score Matching
Solving Inverse Physics Problems with Score Matching
Benjamin Holzschuh
S. Vegetti
Nils Thuerey
DiffM
32
12
0
24 Jan 2023
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