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Variational Diffusion Models
1 July 2021
Diederik P. Kingma
Tim Salimans
Ben Poole
Jonathan Ho
DiffM
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Papers citing
"Variational Diffusion Models"
50 / 908 papers shown
MDTv2: Masked Diffusion Transformer is a Strong Image Synthesizer
IEEE International Conference on Computer Vision (ICCV), 2023
Shanghua Gao
Pan Zhou
Mingg-Ming Cheng
Shuicheng Yan
DiffM
1.1K
247
0
25 Mar 2023
Pluralistic Aging Diffusion Autoencoder
IEEE International Conference on Computer Vision (ICCV), 2023
Peipei Li
Rui Wang
Huaibo Huang
Xiao-Yu Zhang
Zhaofeng He
DiffM
251
23
0
20 Mar 2023
Data-centric Artificial Intelligence: A Survey
ACM Computing Surveys (ACM Comput. Surv.), 2023
Daochen Zha
Zaid Pervaiz Bhat
Kwei-Herng Lai
Fan Yang
Zhimeng Jiang
Shaochen Zhong
Helen Zhou
442
326
0
17 Mar 2023
A Recipe for Watermarking Diffusion Models
Yunqing Zhao
Tianyu Pang
Chao Du
Xiao Yang
Ngai-Man Cheung
Min Lin
WIGM
340
150
0
17 Mar 2023
DiffIR: Efficient Diffusion Model for Image Restoration
IEEE International Conference on Computer Vision (ICCV), 2023
Bin Xia
Yulun Zhang
Shiyin Wang
Yitong Wang
Xing Wu
Yapeng Tian
Wenming Yang
Luc Van Gool
DiffM
393
341
0
16 Mar 2023
Automatic Geo-alignment of Artwork in Children's Story Books
Jakub J Dylag
V. Suarez
James Wald
Aneesha Amodini Uvara
DiffM
148
0
0
16 Mar 2023
Generalised Scale-Space Properties for Probabilistic Diffusion Models
Scale Space and Variational Methods in Computer Vision (SSVM), 2023
Pascal Peter
DiffM
250
1
0
14 Mar 2023
One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale
International Conference on Machine Learning (ICML), 2023
Fan Bao
Shen Nie
Kaiwen Xue
Chongxuan Li
Shiliang Pu
Yaole Wang
Gang Yue
Yue Cao
Hang Su
Jun Zhu
DiffM
534
177
0
12 Mar 2023
Ignorance is Bliss: Robust Control via Information Gating
Neural Information Processing Systems (NeurIPS), 2023
Manan Tomar
Riashat Islam
Matthew E. Taylor
Sergey Levine
Philip Bachman
218
13
0
10 Mar 2023
Importance of Aligning Training Strategy with Evaluation for Diffusion Models in 3D Multiclass Segmentation
Yunguan Fu
Yiwen Li
Shaheer U. Saeed
Matthew J. Clarkson
Yipeng Hu
DiffM
MedIm
227
9
0
10 Mar 2023
GECCO: Geometrically-Conditioned Point Diffusion Models
IEEE International Conference on Computer Vision (ICCV), 2023
M. Tyszkiewicz
Pascal Fua
Eduard Trulls
DiffM
271
26
0
10 Mar 2023
Diffusing Gaussian Mixtures for Generating Categorical Data
AAAI Conference on Artificial Intelligence (AAAI), 2023
Florence Regol
Mark Coates
DiffM
170
6
0
08 Mar 2023
Foundation Models for Decision Making: Problems, Methods, and Opportunities
Sherry Yang
Ofir Nachum
Yilun Du
Jason W. Wei
Pieter Abbeel
Dale Schuurmans
LM&Ro
OffRL
LRM
AI4CE
392
210
0
07 Mar 2023
Unleashing Text-to-Image Diffusion Models for Visual Perception
IEEE International Conference on Computer Vision (ICCV), 2023
Wenliang Zhao
Yongming Rao
Zuyan Liu
Benlin Liu
Jie Zhou
Jiwen Lu
ObjD
VLM
MDE
1.0K
298
0
03 Mar 2023
A Complete Recipe for Diffusion Generative Models
IEEE International Conference on Computer Vision (ICCV), 2023
Kushagra Pandey
Stephan Mandt
DiffM
202
12
0
03 Mar 2023
Understanding Diffusion Objectives as the ELBO with Simple Data Augmentation
Neural Information Processing Systems (NeurIPS), 2023
Diederik P. Kingma
Ruiqi Gao
DiffM
741
235
0
01 Mar 2023
Continuous-Time Functional Diffusion Processes
Neural Information Processing Systems (NeurIPS), 2023
Giulio Franzese
Dario Rossi
Simone Rossi
Markus Heinonen
Maurizio Filippone
Pietro Michiardi
450
34
0
01 Mar 2023
On Calibrating Diffusion Probabilistic Models
Neural Information Processing Systems (NeurIPS), 2023
Tianyu Pang
Cheng Lu
Chao Du
Min Lin
Shuicheng Yan
Zhijie Deng
DiffM
270
3
0
21 Feb 2023
Discouraging posterior collapse in hierarchical Variational Autoencoders using context
Anna Kuzina
Jakub M. Tomczak
BDL
DRL
326
1
0
20 Feb 2023
Restoration based Generative Models
International Conference on Machine Learning (ICML), 2023
Jaemoo Choi
Yesom Park
Myung-joo Kang
DiffM
AI4CE
185
5
0
20 Feb 2023
Modelos Generativos basados en Mecanismos de Difusión
J. D. L. Torre
DiffM
60
0
0
18 Feb 2023
Consistent Diffusion Models: Mitigating Sampling Drift by Learning to be Consistent
Neural Information Processing Systems (NeurIPS), 2023
Giannis Daras
Y. Dagan
A. Dimakis
C. Daskalakis
DiffM
274
61
0
17 Feb 2023
Boundary Guided Learning-Free Semantic Control with Diffusion Models
Neural Information Processing Systems (NeurIPS), 2023
Ye Zhu
Yuehua Wu
Zhiwei Deng
Olga Russakovsky
Yan Yan
DiffM
321
33
0
16 Feb 2023
DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization
Neural Information Processing Systems (NeurIPS), 2023
Zhiqing Sun
Yiming Yang
DiffM
311
205
0
16 Feb 2023
Understanding the Distillation Process from Deep Generative Models to Tractable Probabilistic Circuits
International Conference on Machine Learning (ICML), 2023
Xuejie Liu
Hoang Trung-Dung
Karen Ullrich
Yitao Liang
TPM
171
17
0
16 Feb 2023
Data Forensics in Diffusion Models: A Systematic Analysis of Membership Privacy
Derui Zhu
Dingfan Chen
Jens Grossklags
Mario Fritz
DiffM
193
15
0
15 Feb 2023
Where to Diffuse, How to Diffuse, and How to Get Back: Automated Learning for Multivariate Diffusions
International Conference on Learning Representations (ICLR), 2023
Raghav Singhal
Mark Goldstein
Rajesh Ranganath
DiffM
271
26
0
14 Feb 2023
Diffusion Models in Bioinformatics: A New Wave of Deep Learning Revolution in Action
Zhiye Guo
Jian Liu
Yanli Wang
Mengrui Chen
Duolin Wang
Dong Xu
Jianlin Cheng
MedIm
AI4CE
DiffM
230
26
0
13 Feb 2023
Preconditioned Score-based Generative Models
International Journal of Computer Vision (IJCV), 2023
He Ma
Xiatian Zhu
Xiatian Zhu
Jianfeng Feng
DiffM
306
7
0
13 Feb 2023
Adding Conditional Control to Text-to-Image Diffusion Models
IEEE International Conference on Computer Vision (ICCV), 2023
Lvmin Zhang
Anyi Rao
Maneesh Agrawala
AI4CE
936
5,799
1
10 Feb 2023
Star-Shaped Denoising Diffusion Probabilistic Models
Neural Information Processing Systems (NeurIPS), 2023
Andrey Okhotin
Dmitry Molchanov
V. Arkhipkin
Grigory Bartosh
Viktor Ohanesian
Aibek Alanov
Dmitry Vetrov
DiffM
256
17
0
10 Feb 2023
UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of Diffusion Models
Neural Information Processing Systems (NeurIPS), 2023
Wenliang Zhao
Lujia Bai
Yongming Rao
Jie Zhou
Jiwen Lu
DiffM
431
335
0
09 Feb 2023
Better Diffusion Models Further Improve Adversarial Training
International Conference on Machine Learning (ICML), 2023
Zekai Wang
Tianyu Pang
Chao Du
Min Lin
Weiwei Liu
Shuicheng Yan
DiffM
427
283
0
09 Feb 2023
ERNIE-Music: Text-to-Waveform Music Generation with Diffusion Models
Peng Fei Zhu
Chao Pang
Yekun Chai
Lei Li
Shuohuan Wang
Yu Sun
Hao Tian
Hua Wu
DiffM
191
26
0
09 Feb 2023
Geometry of Score Based Generative Models
S. Ghimire
Jinyang Liu
Armand Comas Massague
Davin Hill
A. Masoomi
Mario Sznaier
Jennifer Dy
DiffM
240
11
0
09 Feb 2023
Geometry-Complete Diffusion for 3D Molecule Generation and Optimization
Communications Chemistry (Commun. Chem.), 2023
Alex Morehead
Jianlin Cheng
DiffM
479
59
0
08 Feb 2023
Information-Theoretic Diffusion
International Conference on Learning Representations (ICLR), 2023
Xianghao Kong
Rob Brekelmans
Greg Ver Steeg
DiffM
157
27
0
07 Feb 2023
Graph Generation with Diffusion Mixture
International Conference on Machine Learning (ICML), 2023
Jaehyeong Jo
Dongki Kim
Sung Ju Hwang
DiffM
419
35
0
07 Feb 2023
ReDi: Efficient Learning-Free Diffusion Inference via Trajectory Retrieval
International Conference on Machine Learning (ICML), 2023
Kexun Zhang
Xianjun Yang
William Yang Wang
Lei Li
DiffM
339
14
0
05 Feb 2023
Divide and Compose with Score Based Generative Models
S. Ghimire
Armand Comas
Davin Hill
A. Masoomi
Mario Sznaier
Jennifer Dy
DiffM
193
0
0
05 Feb 2023
Salient Conditional Diffusion for Defending Against Backdoor Attacks
Brandon B. May
N. Joseph Tatro
Dylan Walker
Piyush Kumar
N. Shnidman
DiffM
204
10
0
31 Jan 2023
Learning Data Representations with Joint Diffusion Models
Kamil Deja
Tomasz Trzciñski
Jakub M. Tomczak
DiffM
267
24
0
31 Jan 2023
ERA-Solver: Error-Robust Adams Solver for Fast Sampling of Diffusion Probabilistic Models
Shengmeng Li
Luping Liu
Runnan Li
Runnan Li
DiffM
293
14
0
30 Jan 2023
SEGA: Instructing Text-to-Image Models using Semantic Guidance
Neural Information Processing Systems (NeurIPS), 2023
Manuel Brack
Felix Friedrich
Dominik Hintersdorf
Lukas Struppek
P. Schramowski
Kristian Kersting
DiffM
VLM
127
0
0
28 Jan 2023
Minimizing Trajectory Curvature of ODE-based Generative Models
International Conference on Machine Learning (ICML), 2023
Sangyun Lee
Beomsu Kim
Jong Chul Ye
544
75
0
27 Jan 2023
Simple diffusion: End-to-end diffusion for high resolution images
International Conference on Machine Learning (ICML), 2023
Emiel Hoogeboom
Jonathan Heek
Tim Salimans
390
351
0
26 Jan 2023
On the Importance of Noise Scheduling for Diffusion Models
Ting Chen
DiffM
450
197
0
26 Jan 2023
A Multi-Resolution Framework for U-Nets with Applications to Hierarchical VAEs
Neural Information Processing Systems (NeurIPS), 2023
Fabian Falck
Christopher Williams
D. Danks
George Deligiannidis
C. Yau
Chris Holmes
Arnaud Doucet
M. Willetts
183
9
0
19 Jan 2023
Msanii: High Fidelity Music Synthesis on a Shoestring Budget
Kinyugo Maina
182
9
0
16 Jan 2023
A Residual Diffusion Model for High Perceptual Quality Codec Augmentation
Noor Fathima Ghouse
Jens Petersen
Auke Wiggers
Tianlin Xu
Guillaume Sautière
DiffM
309
34
0
13 Jan 2023
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