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Variational Diffusion Models

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 / 774 papers shown
Title
On Accelerating Diffusion-Based Sampling Process via Improved
  Integration Approximation
On Accelerating Diffusion-Based Sampling Process via Improved Integration Approximation
Guoqiang Zhang
Niwa Kenta
W. Kleijn
DiffM
15
8
0
22 Apr 2023
Lookahead Diffusion Probabilistic Models for Refining Mean Estimation
Lookahead Diffusion Probabilistic Models for Refining Mean Estimation
Guoqiang Zhang
Niwa Kenta
W. Kleijn
DiffM
19
9
0
22 Apr 2023
Plug-and-Play split Gibbs sampler: embedding deep generative priors in
  Bayesian inference
Plug-and-Play split Gibbs sampler: embedding deep generative priors in Bayesian inference
Florentin Coeurdoux
N. Dobigeon
P. Chainais
27
15
0
21 Apr 2023
Look ATME: The Discriminator Mean Entropy Needs Attention
Look ATME: The Discriminator Mean Entropy Needs Attention
Edgardo Solano-Carrillo
Ángel Bueno Rodríguez
Borja Carrillo-Perez
Yannik Steiniger
Jannis Stoppe
DiffM
14
3
0
18 Apr 2023
Towards Controllable Diffusion Models via Reward-Guided Exploration
Towards Controllable Diffusion Models via Reward-Guided Exploration
Heng Zhang
Tingyang Xu
34
2
0
14 Apr 2023
DiffFit: Unlocking Transferability of Large Diffusion Models via Simple
  Parameter-Efficient Fine-Tuning
DiffFit: Unlocking Transferability of Large Diffusion Models via Simple Parameter-Efficient Fine-Tuning
Enze Xie
Lewei Yao
Han Shi
Zhili Liu
Daquan Zhou
Zhaoqiang Liu
Jiawei Li
Zhenguo Li
34
76
0
13 Apr 2023
PATMAT: Person Aware Tuning of Mask-Aware Transformer for Face
  Inpainting
PATMAT: Person Aware Tuning of Mask-Aware Transformer for Face Inpainting
Saman Motamed
Jianjin Xu
Chenhuan Wu
Fernando de la Torre
DiffM
23
3
0
12 Apr 2023
SpectralDiff: A Generative Framework for Hyperspectral Image
  Classification with Diffusion Models
SpectralDiff: A Generative Framework for Hyperspectral Image Classification with Diffusion Models
Ning Chen
Jun Yue
Leyuan Fang
Shaobo Xia
DiffM
33
58
0
12 Apr 2023
Re-imagine the Negative Prompt Algorithm: Transform 2D Diffusion into
  3D, alleviate Janus problem and Beyond
Re-imagine the Negative Prompt Algorithm: Transform 2D Diffusion into 3D, alleviate Janus problem and Beyond
Mohammadreza Armandpour
A. Sadeghian
Huangjie Zheng
Amir Sadeghian
Mingyuan Zhou
DiffM
18
123
0
11 Apr 2023
Reflected Diffusion Models
Reflected Diffusion Models
Aaron Lou
Stefano Ermon
24
50
0
10 Apr 2023
Generative Diffusion Prior for Unified Image Restoration and Enhancement
Generative Diffusion Prior for Unified Image Restoration and Enhancement
Ben Fei
Zhaoyang Lyu
Liang Pan
Junzhe Zhang
Weidong Yang
Tian-jian Luo
Bo Zhang
Bo Dai
DiffM
42
177
0
03 Apr 2023
Zero-Shot Video Editing Using Off-The-Shelf Image Diffusion Models
Zero-Shot Video Editing Using Off-The-Shelf Image Diffusion Models
Wen Wang
Yan Jiang
K. Xie
Zide Liu
Hao Chen
Yue Cao
Xinlong Wang
Chunhua Shen
DiffM
VGen
34
112
0
30 Mar 2023
WordStylist: Styled Verbatim Handwritten Text Generation with Latent
  Diffusion Models
WordStylist: Styled Verbatim Handwritten Text Generation with Latent Diffusion Models
Konstantina Nikolaidou
George Retsinas
Vincent Christlein
Mathias Seuret
Giorgos Sfikas
Elisa Barney Smith
Hamam Mokayed
Marcus Liwicki
DiffM
29
16
0
29 Mar 2023
Text-to-Image Diffusion Models are Zero-Shot Classifiers
Text-to-Image Diffusion Models are Zero-Shot Classifiers
Kevin Clark
P. Jaini
DiffM
VLM
38
107
0
27 Mar 2023
PDPP: Projected Diffusion for Procedure Planning in Instructional Videos
PDPP: Projected Diffusion for Procedure Planning in Instructional Videos
Hanlin Wang
Yilu Wu
Sheng Guo
Limin Wang
VGen
DiffM
78
30
0
26 Mar 2023
MDTv2: Masked Diffusion Transformer is a Strong Image Synthesizer
MDTv2: Masked Diffusion Transformer is a Strong Image Synthesizer
Shanghua Gao
Pan Zhou
Mingg-Ming Cheng
Shuicheng Yan
DiffM
145
157
0
25 Mar 2023
Pluralistic Aging Diffusion Autoencoder
Pluralistic Aging Diffusion Autoencoder
Peipei Li
Rui Wang
Huaibo Huang
Ran He
Zhaofeng He
DiffM
30
15
0
20 Mar 2023
Data-centric Artificial Intelligence: A Survey
Data-centric Artificial Intelligence: A Survey
Daochen Zha
Zaid Pervaiz Bhat
Kwei-Herng Lai
Fan Yang
Zhimeng Jiang
Shaochen Zhong
Xia Hu
27
193
0
17 Mar 2023
A Recipe for Watermarking Diffusion Models
A Recipe for Watermarking Diffusion Models
Yunqing Zhao
Tianyu Pang
Chao Du
Xiao Yang
Ngai-man Cheung
Min Lin
WIGM
30
115
0
17 Mar 2023
DiffIR: Efficient Diffusion Model for Image Restoration
DiffIR: Efficient Diffusion Model for Image Restoration
Bin Xia
Yulun Zhang
Shiyin Wang
Yitong Wang
Xing Wu
Yapeng Tian
Wenming Yang
Luc Van Gool
DiffM
34
197
0
16 Mar 2023
Automatic Geo-alignment of Artwork in Children's Story Books
Automatic Geo-alignment of Artwork in Children's Story Books
Jakub J Dylag
V. Suarez
James Wald
Aneesha Amodini Uvara
DiffM
46
0
0
16 Mar 2023
Generalised Scale-Space Properties for Probabilistic Diffusion Models
Generalised Scale-Space Properties for Probabilistic Diffusion Models
Pascal Peter
DiffM
35
1
0
14 Mar 2023
One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale
One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale
Fan Bao
Shen Nie
Kaiwen Xue
Chongxuan Li
Shiliang Pu
Yaole Wang
Gang Yue
Yue Cao
Hang Su
Jun Zhu
DiffM
207
150
0
12 Mar 2023
Ignorance is Bliss: Robust Control via Information Gating
Ignorance is Bliss: Robust Control via Information Gating
Manan Tomar
Riashat Islam
Matthew E. Taylor
Sergey Levine
Philip Bachman
41
9
0
10 Mar 2023
Importance of Aligning Training Strategy with Evaluation for Diffusion
  Models in 3D Multiclass Segmentation
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
88
7
0
10 Mar 2023
GECCO: Geometrically-Conditioned Point Diffusion Models
GECCO: Geometrically-Conditioned Point Diffusion Models
M. Tyszkiewicz
Pascal Fua
Eduard Trulls
DiffM
26
21
0
10 Mar 2023
Diffusing Gaussian Mixtures for Generating Categorical Data
Diffusing Gaussian Mixtures for Generating Categorical Data
Florence Regol
Mark J. Coates
DiffM
36
5
0
08 Mar 2023
Foundation Models for Decision Making: Problems, Methods, and
  Opportunities
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
98
156
0
07 Mar 2023
Unleashing Text-to-Image Diffusion Models for Visual Perception
Unleashing Text-to-Image Diffusion Models for Visual Perception
Wenliang Zhao
Yongming Rao
Zuyan Liu
Benlin Liu
Jie Zhou
Jiwen Lu
ObjD
VLM
MDE
163
218
0
03 Mar 2023
A Complete Recipe for Diffusion Generative Models
A Complete Recipe for Diffusion Generative Models
Kushagra Pandey
Stephan Mandt
DiffM
46
8
0
03 Mar 2023
Understanding Diffusion Objectives as the ELBO with Simple Data
  Augmentation
Understanding Diffusion Objectives as the ELBO with Simple Data Augmentation
Diederik P. Kingma
Ruiqi Gao
DiffM
21
127
0
01 Mar 2023
Continuous-Time Functional Diffusion Processes
Continuous-Time Functional Diffusion Processes
Giulio Franzese
Dario Rossi
Simone Rossi
Markus Heinonen
Maurizio Filippone
Pietro Michiardi
39
24
0
01 Mar 2023
On Calibrating Diffusion Probabilistic Models
On Calibrating Diffusion Probabilistic Models
Tianyu Pang
Cheng Lu
Chao Du
Min Lin
Shuicheng Yan
Zhijie Deng
DiffM
40
2
0
21 Feb 2023
Discouraging posterior collapse in hierarchical Variational Autoencoders
  using context
Discouraging posterior collapse in hierarchical Variational Autoencoders using context
Anna Kuzina
Jakub M. Tomczak
BDL
DRL
23
1
0
20 Feb 2023
Restoration based Generative Models
Restoration based Generative Models
Jaemoo Choi
Yesom Park
Myung-joo Kang
DiffM
AI4CE
44
5
0
20 Feb 2023
Modelos Generativos basados en Mecanismos de Difusión
Modelos Generativos basados en Mecanismos de Difusión
J. D. L. Torre
DiffM
23
0
0
18 Feb 2023
Consistent Diffusion Models: Mitigating Sampling Drift by Learning to be
  Consistent
Consistent Diffusion Models: Mitigating Sampling Drift by Learning to be Consistent
Giannis Daras
Y. Dagan
A. Dimakis
C. Daskalakis
DiffM
50
44
0
17 Feb 2023
Boundary Guided Learning-Free Semantic Control with Diffusion Models
Boundary Guided Learning-Free Semantic Control with Diffusion Models
Ye Zhu
Yuehua Wu
Zhiwei Deng
Olga Russakovsky
Yan Yan
DiffM
30
23
0
16 Feb 2023
DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization
DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization
Zhiqing Sun
Yiming Yang
DiffM
38
121
0
16 Feb 2023
Understanding the Distillation Process from Deep Generative Models to
  Tractable Probabilistic Circuits
Understanding the Distillation Process from Deep Generative Models to Tractable Probabilistic Circuits
Xuejie Liu
Guy Van den Broeck
Mathias Niepert
Yitao Liang
TPM
36
13
0
16 Feb 2023
Data Forensics in Diffusion Models: A Systematic Analysis of Membership
  Privacy
Data Forensics in Diffusion Models: A Systematic Analysis of Membership Privacy
Derui Zhu
Dingfan Chen
Jens Grossklags
Mario Fritz
DiffM
27
14
0
15 Feb 2023
Where to Diffuse, How to Diffuse, and How to Get Back: Automated
  Learning for Multivariate Diffusions
Where to Diffuse, How to Diffuse, and How to Get Back: Automated Learning for Multivariate Diffusions
Raghav Singhal
Mark Goldstein
Rajesh Ranganath
DiffM
39
21
0
14 Feb 2023
Diffusion Models in Bioinformatics: A New Wave of Deep Learning
  Revolution in Action
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
51
22
0
13 Feb 2023
Preconditioned Score-based Generative Models
Preconditioned Score-based Generative Models
He Ma
Xiatian Zhu
Xiatian Zhu
Jianfeng Feng
DiffM
43
5
0
13 Feb 2023
Adding Conditional Control to Text-to-Image Diffusion Models
Adding Conditional Control to Text-to-Image Diffusion Models
Lvmin Zhang
Anyi Rao
Maneesh Agrawala
AI4CE
29
3,912
1
10 Feb 2023
Star-Shaped Denoising Diffusion Probabilistic Models
Star-Shaped Denoising Diffusion Probabilistic Models
Andrey Okhotin
Dmitry Molchanov
V. Arkhipkin
Grigory Bartosh
Viktor Ohanesian
Aibek Alanov
Dmitry Vetrov
DiffM
45
12
0
10 Feb 2023
UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of
  Diffusion Models
UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of Diffusion Models
Wenliang Zhao
Lujia Bai
Yongming Rao
Jie Zhou
Jiwen Lu
DiffM
27
200
0
09 Feb 2023
Better Diffusion Models Further Improve Adversarial Training
Better Diffusion Models Further Improve Adversarial Training
Zekai Wang
Tianyu Pang
Chao Du
Min Lin
Weiwei Liu
Shuicheng Yan
DiffM
26
210
0
09 Feb 2023
ERNIE-Music: Text-to-Waveform Music Generation with Diffusion Models
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
19
20
0
09 Feb 2023
Geometry of Score Based Generative Models
Geometry of Score Based Generative Models
S. Ghimire
Jinyang Liu
Armand Comas Massague
Davin Hill
A. Masoomi
Mario Sznaier
Jennifer Dy
DiffM
38
8
0
09 Feb 2023
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