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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 / 5,133 papers shown
Title
CARD: Classification and Regression Diffusion Models
CARD: Classification and Regression Diffusion Models
Xizewen Han
Huangjie Zheng
Mingyuan Zhou
DiffM
108
116
0
15 Jun 2022
Convergence for score-based generative modeling with polynomial
  complexity
Convergence for score-based generative modeling with polynomial complexity
Holden Lee
Jianfeng Lu
Yixin Tan
DiffM
80
140
0
13 Jun 2022
Mining Multi-Label Samples from Single Positive Labels
Mining Multi-Label Samples from Single Positive Labels
Youngin Cho
Daejin Kim
Mohammad Azam Khan
Jaegul Choo
GAN
55
7
0
12 Jun 2022
gDDIM: Generalized denoising diffusion implicit models
gDDIM: Generalized denoising diffusion implicit models
Qinsheng Zhang
Molei Tao
Yongxin Chen
DiffM
109
117
0
11 Jun 2022
How Much is Enough? A Study on Diffusion Times in Score-based Generative
  Models
How Much is Enough? A Study on Diffusion Times in Score-based Generative Models
Giulio Franzese
Simone Rossi
Lixuan Yang
A. Finamore
Dario Rossi
Maurizio Filippone
Pietro Michiardi
DiffM
73
47
0
10 Jun 2022
Image Generation with Multimodal Priors using Denoising Diffusion
  Probabilistic Models
Image Generation with Multimodal Priors using Denoising Diffusion Probabilistic Models
Nithin Gopalakrishnan Nair
W. G. C. Bandara
Vishal M. Patel
DiffM
60
8
0
10 Jun 2022
SAR Despeckling using a Denoising Diffusion Probabilistic Model
SAR Despeckling using a Denoising Diffusion Probabilistic Model
Malsha V. Perera
Nithin Gopalakrishnan Nair
W. G. C. Bandara
Vishal M. Patel
DiffM
40
53
0
09 Jun 2022
Draft-and-Revise: Effective Image Generation with Contextual
  RQ-Transformer
Draft-and-Revise: Effective Image Generation with Contextual RQ-Transformer
Doyup Lee
Chiheon Kim
Saehoon Kim
Minsu Cho
Wook-Shin Han
82
29
0
09 Jun 2022
Fast Unsupervised Brain Anomaly Detection and Segmentation with
  Diffusion Models
Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models
W. H. Pinaya
M. Graham
Robert J. Gray
P. F. D. Costa
Petru-Daniel Tudosiu
...
D. Werring
Geraint Rees
P. Nachev
Sebastien Ourselin
M. Jorge Cardoso
DiffMMedIm
79
107
0
07 Jun 2022
Blended Latent Diffusion
Blended Latent Diffusion
Omri Avrahami
Ohad Fried
Dani Lischinski
DiffM
168
393
0
06 Jun 2022
Diffusion-GAN: Training GANs with Diffusion
Diffusion-GAN: Training GANs with Diffusion
Zhendong Wang
Huangjie Zheng
Pengcheng He
Weizhu Chen
Mingyuan Zhou
DiffM
85
235
0
05 Jun 2022
Zero-Shot Voice Conditioning for Denoising Diffusion TTS Models
Zero-Shot Voice Conditioning for Denoising Diffusion TTS Models
Alon Levkovitch
Eliya Nachmani
Lior Wolf
DiffM
78
29
0
05 Jun 2022
Learning Robust Representations Of Generative Models Using Set-Based
  Artificial Fingerprints
Learning Robust Representations Of Generative Models Using Set-Based Artificial Fingerprints
Hae Jin Song
Wael AbdAlmageed
OOD
52
0
0
04 Jun 2022
Compositional Visual Generation with Composable Diffusion Models
Compositional Visual Generation with Composable Diffusion Models
Nan Liu
Shuang Li
Yilun Du
Antonio Torralba
J. Tenenbaum
DiffMCoGe
209
530
0
03 Jun 2022
Style-Content Disentanglement in Language-Image Pretraining
  Representations for Zero-Shot Sketch-to-Image Synthesis
Style-Content Disentanglement in Language-Image Pretraining Representations for Zero-Shot Sketch-to-Image Synthesis
Jan Zuiderveld
DRL
64
1
0
03 Jun 2022
Score-Based Generative Models Detect Manifolds
Score-Based Generative Models Detect Manifolds
Jakiw Pidstrigach
DiffM
103
79
0
02 Jun 2022
Improving Diffusion Models for Inverse Problems using Manifold
  Constraints
Improving Diffusion Models for Inverse Problems using Manifold Constraints
Hyungjin Chung
Byeongsu Sim
Dohoon Ryu
J. C. Ye
DiffMMedIm
184
473
0
02 Jun 2022
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling
  in Around 10 Steps
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps
Cheng Lu
Yuhao Zhou
Fan Bao
Jianfei Chen
Chongxuan Li
Jun Zhu
DiffM
281
1,472
0
02 Jun 2022
DiVAE: Photorealistic Images Synthesis with Denoising Diffusion Decoder
DiVAE: Photorealistic Images Synthesis with Denoising Diffusion Decoder
Jie Shi
Chenfei Wu
Jian Liang
Xiang Liu
Nan Duan
DiffM
76
26
0
01 Jun 2022
Elucidating the Design Space of Diffusion-Based Generative Models
Elucidating the Design Space of Diffusion-Based Generative Models
Tero Karras
M. Aittala
Timo Aila
S. Laine
DiffM
280
2,035
0
01 Jun 2022
PAGER: Progressive Attribute-Guided Extendable Robust Image Generation
PAGER: Progressive Attribute-Guided Extendable Robust Image Generation
Zohreh Azizi
C.-C. Jay Kuo
VLMDiffMGAN
89
9
0
01 Jun 2022
On Analyzing Generative and Denoising Capabilities of Diffusion-based
  Deep Generative Models
On Analyzing Generative and Denoising Capabilities of Diffusion-based Deep Generative Models
Kamil Deja
Anna Kuzina
Tomasz Trzciñski
Jakub M. Tomczak
DiffM
92
29
0
31 May 2022
Improved Vector Quantized Diffusion Models
Improved Vector Quantized Diffusion Models
Zhicong Tang
Shuyang Gu
Jianmin Bao
Dong Chen
Fang Wen
DiffM
246
63
0
31 May 2022
Few-Shot Diffusion Models
Few-Shot Diffusion Models
Giorgio Giannone
Didrik Nielsen
Ole Winther
DiffM
231
51
0
30 May 2022
Guided-TTS 2: A Diffusion Model for High-quality Adaptive Text-to-Speech
  with Untranscribed Data
Guided-TTS 2: A Diffusion Model for High-quality Adaptive Text-to-Speech with Untranscribed Data
Sungwon Kim
Heeseung Kim
Sung-Hoon Yoon
DiffM
249
53
0
30 May 2022
A Continuous Time Framework for Discrete Denoising Models
A Continuous Time Framework for Discrete Denoising Models
Andrew Campbell
Joe Benton
Valentin De Bortoli
Tom Rainforth
George Deligiannidis
Arnaud Doucet
DiffM
290
168
0
30 May 2022
Guided Diffusion Model for Adversarial Purification
Guided Diffusion Model for Adversarial Purification
Jinyi Wang
Zhaoyang Lyu
Dahua Lin
Bo Dai
Hongfei Fu
DiffM
277
90
0
30 May 2022
BinauralGrad: A Two-Stage Conditional Diffusion Probabilistic Model for
  Binaural Audio Synthesis
BinauralGrad: A Two-Stage Conditional Diffusion Probabilistic Model for Binaural Audio Synthesis
Yichong Leng
Zehua Chen
Junliang Guo
Haohe Liu
Jiawei Chen
...
Lei He
Xiang-Yang Li
Tao Qin
Sheng Zhao
Tie-Yan Liu
DiffM
155
61
0
30 May 2022
Diffusion-LM Improves Controllable Text Generation
Diffusion-LM Improves Controllable Text Generation
Xiang Lisa Li
John Thickstun
Ishaan Gulrajani
Percy Liang
Tatsunori B. Hashimoto
AI4CE
250
837
0
27 May 2022
Maximum Likelihood Training of Implicit Nonlinear Diffusion Models
Maximum Likelihood Training of Implicit Nonlinear Diffusion Models
Dongjun Kim
Byeonghu Na
S. Kwon
Dongsoo Lee
Wanmo Kang
Il-Chul Moon
DiffM
302
53
0
27 May 2022
Protein Structure and Sequence Generation with Equivariant Denoising
  Diffusion Probabilistic Models
Protein Structure and Sequence Generation with Equivariant Denoising Diffusion Probabilistic Models
N. Anand
Tudor Achim
DiffM
255
175
0
26 May 2022
Pretraining is All You Need for Image-to-Image Translation
Pretraining is All You Need for Image-to-Image Translation
Tengfei Wang
Ting Zhang
Bo Zhang
Hao Ouyang
Dong Chen
Qifeng Chen
Fang Wen
DiffM
265
181
0
25 May 2022
TreEnhance: A Tree Search Method For Low-Light Image Enhancement
TreEnhance: A Tree Search Method For Low-Light Image Enhancement
Marco Cotogni
C. Cusano
64
29
0
25 May 2022
Accelerating Diffusion Models via Early Stop of the Diffusion Process
Accelerating Diffusion Models via Early Stop of the Diffusion Process
Zhaoyang Lyu
Xu Xudong
Ceyuan Yang
Dahua Lin
Bo Dai
DiffM
262
98
0
25 May 2022
Flexible Diffusion Modeling of Long Videos
Flexible Diffusion Modeling of Long Videos
William Harvey
Saeid Naderiparizi
Vaden Masrani
Christian D. Weilbach
Frank Wood
DiffMBDLVGen
234
298
0
23 May 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
497
6,102
0
23 May 2022
Decoder Denoising Pretraining for Semantic Segmentation
Decoder Denoising Pretraining for Semantic Segmentation
Emmanuel B. Asiedu
Simon Kornblith
Ting Chen
Niki Parmar
Matthias Minderer
Mohammad Norouzi
AI4CE
262
27
0
23 May 2022
Planning with Diffusion for Flexible Behavior Synthesis
Planning with Diffusion for Flexible Behavior Synthesis
Michael Janner
Yilun Du
J. Tenenbaum
Sergey Levine
DiffM
329
705
0
20 May 2022
MCVD: Masked Conditional Video Diffusion for Prediction, Generation, and
  Interpolation
MCVD: Masked Conditional Video Diffusion for Prediction, Generation, and Interpolation
Vikram S. Voleti
Alexia Jolicoeur-Martineau
Christopher Pal
DiffMVGen
151
308
0
19 May 2022
Sparse Visual Counterfactual Explanations in Image Space
Sparse Visual Counterfactual Explanations in Image Space
Valentyn Boreiko
Maximilian Augustin
Francesco Croce
Philipp Berens
Matthias Hein
BDLCML
135
28
0
16 May 2022
BBDM: Image-to-image Translation with Brownian Bridge Diffusion Models
BBDM: Image-to-image Translation with Brownian Bridge Diffusion Models
Bo Li
Kaitao Xue
Bin Liu
Yunyu Lai
DiffM
197
147
0
16 May 2022
Diffusion Models for Adversarial Purification
Diffusion Models for Adversarial Purification
Weili Nie
Brandon Guo
Yujia Huang
Chaowei Xiao
Arash Vahdat
Anima Anandkumar
WIGM
278
450
0
16 May 2022
The Creativity of Text-to-Image Generation
The Creativity of Text-to-Image Generation
J. Oppenlaender
106
204
0
13 May 2022
Deep Learning and Synthetic Media
Deep Learning and Synthetic Media
Raphaël Millière
69
18
0
11 May 2022
On Conditioning the Input Noise for Controlled Image Generation with
  Diffusion Models
On Conditioning the Input Noise for Controlled Image Generation with Diffusion Models
Vedant Singh
Surgan Jandial
Ayush Chopra
Siddharth Ramesh
Balaji Krishnamurthy
V. Balasubramanian
DiffM
74
17
0
08 May 2022
The ICML 2022 Expressive Vocalizations Workshop and Competition:
  Recognizing, Generating, and Personalizing Vocal Bursts
The ICML 2022 Expressive Vocalizations Workshop and Competition: Recognizing, Generating, and Personalizing Vocal Bursts
Alice Baird
Panagiotis Tzirakis
Gauthier Gidel
Marco Jiralerspong
Eilif B. Muller
Kory W. Mathewson
Björn Schuller
Min Zhang
D. Keltner
Alan S. Cowen
VLM
84
30
0
03 May 2022
Comparison of CoModGANs, LaMa and GLIDE for Art Inpainting- Completing
  M.C Escher's Print Gallery
Comparison of CoModGANs, LaMa and GLIDE for Art Inpainting- Completing M.C Escher's Print Gallery
Lucia Cipolina-Kun
Simone Caenazzo
Gaston Mazzei
21
2
0
03 May 2022
Subspace Diffusion Generative Models
Subspace Diffusion Generative Models
Bowen Jing
Gabriele Corso
Renato Berlinghieri
Tommi Jaakkola
DiffM
84
78
0
03 May 2022
Fast Sampling of Diffusion Models with Exponential Integrator
Fast Sampling of Diffusion Models with Exponential Integrator
Qinsheng Zhang
Yongxin Chen
DiffM
114
439
0
29 Apr 2022
An Overview of Recent Work in Media Forensics: Methods and Threats
An Overview of Recent Work in Media Forensics: Methods and Threats
Kratika Bhagtani
A. Yadav
Emily R. Bartusiak
Ziyue Xiang
Ruiting Shao
Sriram Baireddy
Edward J. Delp
AAML
94
25
0
26 Apr 2022
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