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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
Put Myself in Your Shoes: Lifting the Egocentric Perspective from
  Exocentric Videos
Put Myself in Your Shoes: Lifting the Egocentric Perspective from Exocentric Videos
Mi Luo
Zihui Xue
Alex Dimakis
Kristen Grauman
EgoVDiffM
89
17
0
11 Mar 2024
Fine-tuning of diffusion models via stochastic control: entropy
  regularization and beyond
Fine-tuning of diffusion models via stochastic control: entropy regularization and beyond
Wenpin Tang
84
15
0
10 Mar 2024
Platypose: Calibrated Zero-Shot Multi-Hypothesis 3D Human Motion
  Estimation
Platypose: Calibrated Zero-Shot Multi-Hypothesis 3D Human Motion Estimation
Paweł Antoni Pierzchlewicz
Caio da Silva
R. J. Cotton
Fabian H. Sinz
104
0
0
10 Mar 2024
MACE: Mass Concept Erasure in Diffusion Models
MACE: Mass Concept Erasure in Diffusion Models
Shilin Lu
Zilan Wang
Leyang Li
Yanzhu Liu
A. Kong
DiffM
94
93
0
10 Mar 2024
Decoupled Data Consistency with Diffusion Purification for Image
  Restoration
Decoupled Data Consistency with Diffusion Purification for Image Restoration
Xiang Li
Soo Min Kwon
Ismail Alkhouri
S. Ravishankar
Qing Qu
DiffM
139
0
0
10 Mar 2024
Multi-conditioned Graph Diffusion for Neural Architecture Search
Multi-conditioned Graph Diffusion for Neural Architecture Search
Rohan Asthana
Joschua Conrad
Youssef Dawoud
M. Ortmanns
Vasileios Belagiannis
GNNAI4CE
85
6
0
09 Mar 2024
Can Generative Models Improve Self-Supervised Representation Learning?
Can Generative Models Improve Self-Supervised Representation Learning?
Sana Ayromlou
Arash Afkanpour
Vahid Reza Khazaie
Fereshteh Forghani
96
3
0
09 Mar 2024
SEMRes-DDPM: Residual Network Based Diffusion Modelling Applied to
  Imbalanced Data
SEMRes-DDPM: Residual Network Based Diffusion Modelling Applied to Imbalanced Data
Ming Zheng
Yang Yang
Zhiguang Zhao
Shan-Chao Gan
Yang Chen
Si-Kai Ni
Yang Lu
DiffMMedIm
59
0
0
09 Mar 2024
RealNet: A Feature Selection Network with Realistic Synthetic Anomaly
  for Anomaly Detection
RealNet: A Feature Selection Network with Realistic Synthetic Anomaly for Anomaly Detection
Ximiao Zhang
Min Xu
Xiuzhuang Zhou
128
61
0
09 Mar 2024
Audio-Synchronized Visual Animation
Audio-Synchronized Visual Animation
Lin Zhang
Shentong Mo
Yijing Zhang
Pedro Morgado
DiffM
107
20
0
08 Mar 2024
Noise Level Adaptive Diffusion Model for Robust Reconstruction of
  Accelerated MRI
Noise Level Adaptive Diffusion Model for Robust Reconstruction of Accelerated MRI
Shoujin Huang
Guanxiong Luo
Xi Wang
Ziran Chen
Yuwan Wang
Huaishui Yang
Pheng-Ann Heng
Lingyan Zhang
Mengye Lyu
90
5
0
08 Mar 2024
Towards Effective Usage of Human-Centric Priors in Diffusion Models for
  Text-based Human Image Generation
Towards Effective Usage of Human-Centric Priors in Diffusion Models for Text-based Human Image Generation
Junyan Wang
Zhenhong Sun
Zhiyu Tan
Xuanbai Chen
Weihua Chen
Hao Li
Cheng Zhang
Yang Song
106
12
0
08 Mar 2024
Denoising Autoregressive Representation Learning
Denoising Autoregressive Representation Learning
Yazhe Li
J. Bornschein
Ting Chen
DiffM
84
4
0
08 Mar 2024
DiffuLT: How to Make Diffusion Model Useful for Long-tail Recognition
DiffuLT: How to Make Diffusion Model Useful for Long-tail Recognition
Jie Shao
Ke Zhu
Hanxiao Zhang
Jianxin Wu
84
5
0
08 Mar 2024
Face2Diffusion for Fast and Editable Face Personalization
Face2Diffusion for Fast and Editable Face Personalization
Kaede Shiohara
Toshihiko Yamasaki
DiffM
70
12
0
08 Mar 2024
InstructGIE: Towards Generalizable Image Editing
InstructGIE: Towards Generalizable Image Editing
Zichong Meng
Changdi Yang
Jun Liu
Hao Tang
Pu Zhao
Yanzhi Wang
DiffM
109
9
0
08 Mar 2024
StereoDiffusion: Training-Free Stereo Image Generation Using Latent
  Diffusion Models
StereoDiffusion: Training-Free Stereo Image Generation Using Latent Diffusion Models
Lezhong Wang
J. Frisvad
Mark Bo Jensen
Siavash Bigdeli
DiffM
79
12
0
08 Mar 2024
Gradient-free neural topology optimization
Gradient-free neural topology optimization
Gaweł Kuś
Miguel A. Bessa
AI4CE
51
0
0
07 Mar 2024
A Domain Translation Framework with an Adversarial Denoising Diffusion
  Model to Generate Synthetic Datasets of Echocardiography Images
A Domain Translation Framework with an Adversarial Denoising Diffusion Model to Generate Synthetic Datasets of Echocardiography Images
Cristiana Tiago
S. Snare
Jurica Šprem
K. Mcleod
DiffMMedIm
67
9
0
07 Mar 2024
What makes an image realistic?
What makes an image realistic?
Lucas Theis
117
4
0
07 Mar 2024
StableDrag: Stable Dragging for Point-based Image Editing
StableDrag: Stable Dragging for Point-based Image Editing
Yutao Cui
Xiaotong Zhao
Guozhen Zhang
Shengming Cao
Kai Ma
Limin Wang
93
14
0
07 Mar 2024
Controllable Generation with Text-to-Image Diffusion Models: A Survey
Controllable Generation with Text-to-Image Diffusion Models: A Survey
Pu Cao
Feng Zhou
Qing-Huang Song
Lu Yang
139
38
0
07 Mar 2024
ACC-ViT : Atrous Convolution's Comeback in Vision Transformers
ACC-ViT : Atrous Convolution's Comeback in Vision Transformers
Nabil Ibtehaz
Ning Yan
Masood S. Mortazavi
Daisuke Kihara
ViT
102
3
0
07 Mar 2024
GUIDE: Guidance-based Incremental Learning with Diffusion Models
GUIDE: Guidance-based Incremental Learning with Diffusion Models
Bartosz Cywiński
Kamil Deja
Tomasz Trzciñski
Bartlomiej Twardowski
Lukasz Kuciñski
DiffM
83
3
0
06 Mar 2024
Latent Dataset Distillation with Diffusion Models
Latent Dataset Distillation with Diffusion Models
Brian B. Moser
Federico Raue
Sebastián M. Palacio
Stanislav Frolov
Andreas Dengel
DD
115
16
0
06 Mar 2024
Accelerating Convergence of Score-Based Diffusion Models, Provably
Accelerating Convergence of Score-Based Diffusion Models, Provably
Gen Li
Yu Huang
Timofey Efimov
Yuting Wei
Yuejie Chi
Yuxin Chen
DiffM
101
37
0
06 Mar 2024
Neural Additive Image Model: Interpretation through Interpolation
Neural Additive Image Model: Interpretation through Interpolation
Arik Reuter
Anton Thielmann
Benjamin Saefken
DiffM
163
1
0
06 Mar 2024
NoiseCollage: A Layout-Aware Text-to-Image Diffusion Model Based on
  Noise Cropping and Merging
NoiseCollage: A Layout-Aware Text-to-Image Diffusion Model Based on Noise Cropping and Merging
Takahiro Shirakawa
Seiichi Uchida
DiffM
62
19
0
06 Mar 2024
DLP-GAN: learning to draw modern Chinese landscape photos with
  generative adversarial network
DLP-GAN: learning to draw modern Chinese landscape photos with generative adversarial network
Xiangquan Gui
Binxuan Zhang
Li Li
Yi Yang
GAN
95
8
0
06 Mar 2024
Scaling Rectified Flow Transformers for High-Resolution Image Synthesis
Scaling Rectified Flow Transformers for High-Resolution Image Synthesis
Patrick Esser
Sumith Kulal
A. Blattmann
Rahim Entezari
Jonas Muller
...
Zion English
Kyle Lacey
Alex Goodwin
Yannik Marek
Robin Rombach
DiffM
347
1,410
0
05 Mar 2024
Cross-Domain Image Conversion by CycleDM
Cross-Domain Image Conversion by CycleDM
Sho Shimotsumagari
Shumpei Takezaki
Daichi Haraguchi
Seiichi Uchida
86
0
0
05 Mar 2024
Tuning-Free Noise Rectification for High Fidelity Image-to-Video
  Generation
Tuning-Free Noise Rectification for High Fidelity Image-to-Video Generation
Weijie Li
Litong Gong
Yiran Zhu
Fanda Fan
Biao Wang
Tiezheng Ge
Bo Zheng
VGenDiffM
67
3
0
05 Mar 2024
Time Weaver: A Conditional Time Series Generation Model
Time Weaver: A Conditional Time Series Generation Model
Sai Shankar Narasimhan
Shubhankar Agarwal
Oguzhan Akcin
Sujay Sanghavi
Sandeep Chinchali
DiffMMedIm
130
21
0
05 Mar 2024
On the Asymptotic Mean Square Error Optimality of Diffusion Models
On the Asymptotic Mean Square Error Optimality of Diffusion Models
B. Fesl
Benedikt Bock
Florian Strasser
Michael Baur
M. Joham
Wolfgang Utschick
DiffM
136
3
0
05 Mar 2024
Fast, Scale-Adaptive, and Uncertainty-Aware Downscaling of Earth System Model Fields with Generative Machine Learning
Fast, Scale-Adaptive, and Uncertainty-Aware Downscaling of Earth System Model Fields with Generative Machine Learning
P. Hess
Michael Aich
Baoxiang Pan
Niklas Boers
AI4Cl
120
2
0
05 Mar 2024
UniCtrl: Improving the Spatiotemporal Consistency of Text-to-Video
  Diffusion Models via Training-Free Unified Attention Control
UniCtrl: Improving the Spatiotemporal Consistency of Text-to-Video Diffusion Models via Training-Free Unified Attention Control
Xuweiyi Chen
Tian Xia
Sihan Xu
VGenDiffM
105
8
0
04 Mar 2024
DiffMOT: A Real-time Diffusion-based Multiple Object Tracker with
  Non-linear Prediction
DiffMOT: A Real-time Diffusion-based Multiple Object Tracker with Non-linear Prediction
Weiyi Lv
Yuhang Huang
Ning Zhang
Ruei-Sung Lin
Mei Han
Dan Zeng
DiffM
140
20
0
04 Mar 2024
ViewDiff: 3D-Consistent Image Generation with Text-to-Image Models
ViewDiff: 3D-Consistent Image Generation with Text-to-Image Models
Lukas Höllein
Aljavz Bovzivc
Norman Muller
David Novotny
Hung-Yu Tseng
Christian Richardt
Michael Zollhöfer
Matthias Nießner
DiffM
91
45
0
04 Mar 2024
AtomoVideo: High Fidelity Image-to-Video Generation
AtomoVideo: High Fidelity Image-to-Video Generation
Litong Gong
Yiran Zhu
Weijie Li
Xiaoyang Kang
Biao Wang
Tiezheng Ge
Bo Zheng
DiffMVGen
198
12
0
04 Mar 2024
Rethinking Specificity in SBDD: Leveraging Delta Score and Energy-Guided
  Diffusion
Rethinking Specificity in SBDD: Leveraging Delta Score and Energy-Guided Diffusion
Bowen Gao
Minsi Ren
Yuyan Ni
Yanwen Huang
Yiran Zhou
Zhiming Ma
Wei-Ying Ma
Yanyan Lan
93
6
0
04 Mar 2024
HanDiffuser: Text-to-Image Generation With Realistic Hand Appearances
HanDiffuser: Text-to-Image Generation With Realistic Hand Appearances
Supreeth Narasimhaswamy
Uttaran Bhattacharya
Xiang Chen
Ishita Dasgupta
Saayan Mitra
Minh Hoai
DiffM
80
25
0
04 Mar 2024
ResAdapter: Domain Consistent Resolution Adapter for Diffusion Models
ResAdapter: Domain Consistent Resolution Adapter for Diffusion Models
Jiaxiang Cheng
Pan Xie
Xin Xia
Jiashi Li
Jie Wu
Yuxi Ren
Huixia Li
Xuefeng Xiao
Min Zheng
Lean Fu
118
12
0
04 Mar 2024
Theoretical Insights for Diffusion Guidance: A Case Study for Gaussian
  Mixture Models
Theoretical Insights for Diffusion Guidance: A Case Study for Gaussian Mixture Models
Yuchen Wu
Minshuo Chen
Zihao Li
Mengdi Wang
Yuting Wei
110
29
0
03 Mar 2024
Critical windows: non-asymptotic theory for feature emergence in
  diffusion models
Critical windows: non-asymptotic theory for feature emergence in diffusion models
Marvin Li
Sitan Chen
DiffM
110
14
0
03 Mar 2024
Neural Graph Generator: Feature-Conditioned Graph Generation using
  Latent Diffusion Models
Neural Graph Generator: Feature-Conditioned Graph Generation using Latent Diffusion Models
Iakovos Evdaimon
Giannis Nikolentzos
Michail Chatzianastasis
Hadi Abdine
Michalis Vazirgiannis
DiffM
72
4
0
03 Mar 2024
SCott: Accelerating Diffusion Models with Stochastic Consistency Distillation
SCott: Accelerating Diffusion Models with Stochastic Consistency Distillation
Hongjian Liu
Qingsong Xie
Zhijie Deng
Chen Chen
Shixiang Tang
Fueyang Fu
Zheng-Jun Zha
H. Lu
Zheng-jun Zha
127
9
0
03 Mar 2024
Bespoke Non-Stationary Solvers for Fast Sampling of Diffusion and Flow
  Models
Bespoke Non-Stationary Solvers for Fast Sampling of Diffusion and Flow Models
Neta Shaul
Uriel Singer
Ricky T. Q. Chen
Matt Le
Ali K. Thabet
Albert Pumarola
Y. Lipman
DiffM
84
4
0
02 Mar 2024
DiffSal: Joint Audio and Video Learning for Diffusion Saliency
  Prediction
DiffSal: Joint Audio and Video Learning for Diffusion Saliency Prediction
Jun Xiong
Peng Zhang
Tao You
Chuanyue Li
Wei Huang
Yufei Zha
DiffM
95
5
0
02 Mar 2024
TCIG: Two-Stage Controlled Image Generation with Quality Enhancement
  through Diffusion
TCIG: Two-Stage Controlled Image Generation with Quality Enhancement through Diffusion
Salaheldin Mohamed
66
0
0
02 Mar 2024
Training Unbiased Diffusion Models From Biased Dataset
Training Unbiased Diffusion Models From Biased Dataset
Yeongmin Kim
Byeonghu Na
Minsang Park
Joonho Jang
Dongjun Kim
Wanmo Kang
Il-Chul Moon
83
24
0
02 Mar 2024
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