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Variational Diffusion Models
v1v2v3v4v5v6 (latest)

Variational Diffusion Models

1 July 2021
Diederik P. Kingma
Tim Salimans
Ben Poole
Jonathan Ho
    DiffM
ArXiv (abs)PDFHTMLGithub (315★)

Papers citing "Variational Diffusion Models"

50 / 908 papers shown
Multi-Concept T2I-Zero: Tweaking Only The Text Embeddings and Nothing
  Else
Multi-Concept T2I-Zero: Tweaking Only The Text Embeddings and Nothing Else
Hazarapet Tunanyan
Dejia Xu
Shant Navasardyan
Zinan Lin
Humphrey Shi
DiffM
246
11
0
11 Oct 2023
GraphControl: Adding Conditional Control to Universal Graph Pre-trained
  Models for Graph Domain Transfer Learning
GraphControl: Adding Conditional Control to Universal Graph Pre-trained Models for Graph Domain Transfer LearningThe Web Conference (WWW), 2023
Yun Zhu
Yaoke Wang
Haizhou Shi
Zhenshuo Zhang
Dian Jiao
Siliang Tang
AI4CE
476
35
0
11 Oct 2023
Learning Stackable and Skippable LEGO Bricks for Efficient, Reconfigurable, and Variable-Resolution Diffusion Modeling
Learning Stackable and Skippable LEGO Bricks for Efficient, Reconfigurable, and Variable-Resolution Diffusion ModelingInternational Conference on Learning Representations (ICLR), 2023
Huangjie Zheng
Zhendong Wang
Jianbo Yuan
Guanghan Ning
Pengcheng He
Quanzeng You
Hongxia Yang
Mingyuan Zhou
330
16
0
10 Oct 2023
Implicit Concept Removal of Diffusion Models
Implicit Concept Removal of Diffusion ModelsEuropean Conference on Computer Vision (ECCV), 2023
Zhili Liu
Kai Chen
Yifan Zhang
Jianhua Han
Lanqing Hong
Hang Xu
Zhenguo Li
Dit-Yan Yeung
James T. Kwok
345
18
0
09 Oct 2023
Diffusion Random Feature Model
Diffusion Random Feature Model
Esha Saha
Giang Tran
DiffM
301
0
0
06 Oct 2023
Deep Generative Models of Music Expectation
Deep Generative Models of Music Expectation
Ninon Lizé Masclef
T. A. Keller
DiffM
69
3
0
05 Oct 2023
Learning Energy-Based Prior Model with Diffusion-Amortized MCMC
Learning Energy-Based Prior Model with Diffusion-Amortized MCMCNeural Information Processing Systems (NeurIPS), 2023
Peiyu Yu
Y. Zhu
Sirui Xie
Xiaojian Ma
Ruiqi Gao
Song-Chun Zhu
Ying Nian Wu
DiffM
196
14
0
05 Oct 2023
Efficient-3DiM: Learning a Generalizable Single-image Novel-view
  Synthesizer in One Day
Efficient-3DiM: Learning a Generalizable Single-image Novel-view Synthesizer in One DayInternational Conference on Learning Representations (ICLR), 2023
Lezhi Li
Hao Tang
Jen-Hao Rick Chang
Liangchen Song
Zinan Lin
Liangliang Cao
DiffM
214
11
0
04 Oct 2023
Fast, Expressive SE$(n)$ Equivariant Networks through Weight-Sharing in
  Position-Orientation Space
Fast, Expressive SE(n)(n)(n) Equivariant Networks through Weight-Sharing in Position-Orientation SpaceInternational Conference on Learning Representations (ICLR), 2023
Erik J. Bekkers
Sharvaree P. Vadgama
Rob D. Hesselink
P. A. V. D. Linden
David W. Romero
381
38
0
04 Oct 2023
Operator Learning Meets Numerical Analysis: Improving Neural Networks
  through Iterative Methods
Operator Learning Meets Numerical Analysis: Improving Neural Networks through Iterative Methods
E. Zappala
Daniel Levine
Shiyang Zhang
S. Rizvi
Sacha Lévy
David van Dijk
158
1
0
02 Oct 2023
CoDi: Conditional Diffusion Distillation for Higher-Fidelity and Faster
  Image Generation
CoDi: Conditional Diffusion Distillation for Higher-Fidelity and Faster Image GenerationComputer Vision and Pattern Recognition (CVPR), 2023
Kangfu Mei
M. Delbracio
Hossein Talebi
Zhengzhong Tu
Vishal M. Patel
P. Milanfar
VLMDiffM
286
29
0
02 Oct 2023
Consistency Trajectory Models: Learning Probability Flow ODE Trajectory
  of Diffusion
Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of DiffusionInternational Conference on Learning Representations (ICLR), 2023
Dongjun Kim
Chieh-Hsin Lai
Wei-Hsiang Liao
Naoki Murata
Yuhta Takida
Toshimitsu Uesaka
Yutong He
Yuki Mitsufuji
Stefano Ermon
DiffM
460
316
0
01 Oct 2023
A Unified Framework for Generative Data Augmentation: A Comprehensive
  Survey
A Unified Framework for Generative Data Augmentation: A Comprehensive Survey
Yunhao Chen
Zihui Yan
Yunjie Zhu
299
5
0
30 Sep 2023
Directly Fine-Tuning Diffusion Models on Differentiable Rewards
Directly Fine-Tuning Diffusion Models on Differentiable RewardsInternational Conference on Learning Representations (ICLR), 2023
Amita Gajewar
Paul Vicol
G. Bansal
David J Fleet
268
300
0
29 Sep 2023
Denoising Diffusion Bridge Models
Denoising Diffusion Bridge ModelsInternational Conference on Learning Representations (ICLR), 2023
Linqi Zhou
Aaron Lou
Samar Khanna
Stefano Ermon
DiffM
406
127
0
29 Sep 2023
Intriguing properties of generative classifiers
Intriguing properties of generative classifiersInternational Conference on Learning Representations (ICLR), 2023
P. Jaini
Kevin Clark
Robert Geirhos
BDL
455
51
0
28 Sep 2023
Distilling ODE Solvers of Diffusion Models into Smaller Steps
Distilling ODE Solvers of Diffusion Models into Smaller StepsComputer Vision and Pattern Recognition (CVPR), 2023
Sanghwan Kim
Hao Tang
Fisher Yu
239
10
0
28 Sep 2023
Transformer-VQ: Linear-Time Transformers via Vector Quantization
Transformer-VQ: Linear-Time Transformers via Vector QuantizationInternational Conference on Learning Representations (ICLR), 2023
Albert Mohwald
249
26
0
28 Sep 2023
Training-free Linear Image Inverses via Flows
Training-free Linear Image Inverses via Flows
Ashwini Pokle
Matthew Muckley
Ricky T. Q. Chen
Brian Karrer
308
47
0
25 Sep 2023
Light Field Diffusion for Single-View Novel View Synthesis
Light Field Diffusion for Single-View Novel View SynthesisIEEE Access (IEEE Access), 2023
Yifeng Xiong
Haoyu Ma
Shanlin Sun
Kun Han
Hao Tang
Xiaohui Xie
DiffM
343
2
0
20 Sep 2023
Diffusion Models for Accurate Channel Distribution Generation
Diffusion Models for Accurate Channel Distribution Generation
Muah Kim
Rick Fritschek
Rafael F. Schaefer
DiffM
316
10
0
19 Sep 2023
Diffusion Methods for Generating Transition Paths
Diffusion Methods for Generating Transition PathsJournal of Computational Physics (JCP), 2023
Luke Triplett
Jianfeng Lu
162
7
0
19 Sep 2023
Speech Synthesis By Unrolling Diffusion Process using Neural Network Layers
Speech Synthesis By Unrolling Diffusion Process using Neural Network Layers
Peter Ochieng
DiffM
323
0
0
18 Sep 2023
LiDAR Data Synthesis with Denoising Diffusion Probabilistic Models
LiDAR Data Synthesis with Denoising Diffusion Probabilistic ModelsIEEE International Conference on Robotics and Automation (ICRA), 2023
Kazuto Nakashima
Ryo Kurazume
DiffM
311
48
0
17 Sep 2023
Enhance audio generation controllability through representation
  similarity regularization
Enhance audio generation controllability through representation similarity regularization
Yangyang Shi
Gaël Le Lan
Varun K. Nagaraja
Zhaoheng Ni
Xinhao Mei
Ernie Chang
Forrest N. Iandola
Yang Liu
Vikas Chandra
208
2
0
15 Sep 2023
Generalised Diffusion Probabilistic Scale-Spaces
Generalised Diffusion Probabilistic Scale-SpacesJournal of Mathematical Imaging and Vision (JMIV), 2023
Pascal Peter
DiffM
194
1
0
15 Sep 2023
Beta Diffusion
Beta DiffusionNeural Information Processing Systems (NeurIPS), 2023
Mingyuan Zhou
Tianqi Chen
Zhendong Wang
Huangjie Zheng
DiffM
388
18
0
14 Sep 2023
Elucidating the solution space of extended reverse-time SDE for diffusion models
Elucidating the solution space of extended reverse-time SDE for diffusion modelsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Qinpeng Cui
Xinyi Zhang
Zongqing Lu
Qingmin Liao
DiffM
433
7
0
12 Sep 2023
ITI-GEN: Inclusive Text-to-Image Generation
ITI-GEN: Inclusive Text-to-Image GenerationIEEE International Conference on Computer Vision (ICCV), 2023
Cheng Zhang
Xuanbai Chen
Siqi Chai
Chen Henry Wu
Dmitry Lagun
Thabo Beeler
Fernando de la Torre
VLM
251
79
0
11 Sep 2023
Learning Energy-Based Models by Cooperative Diffusion Recovery
  Likelihood
Learning Energy-Based Models by Cooperative Diffusion Recovery LikelihoodInternational Conference on Learning Representations (ICLR), 2023
Y. Zhu
Jianwen Xie
Yingnian Wu
Ruiqi Gao
DiffM
685
16
0
10 Sep 2023
SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models
SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion ModelsNeural Information Processing Systems (NeurIPS), 2023
Shuchen Xue
Mingyang Yi
Weijian Luo
Shifeng Zhang
Jiacheng Sun
Hao Sun
Zhi-Ming Ma
DiffM
538
67
0
10 Sep 2023
Probabilistic Precision and Recall Towards Reliable Evaluation of
  Generative Models
Probabilistic Precision and Recall Towards Reliable Evaluation of Generative ModelsIEEE International Conference on Computer Vision (ICCV), 2023
Dogyun Park
Suhyun Kim
EGVM
126
9
0
04 Sep 2023
An Ensemble Score Filter for Tracking High-Dimensional Nonlinear
  Dynamical Systems
An Ensemble Score Filter for Tracking High-Dimensional Nonlinear Dynamical SystemsComputer Methods in Applied Mechanics and Engineering (CMAME), 2023
Feng Bao
Zezhong Zhang
Guannan Zhang
DiffM
195
25
0
02 Sep 2023
A Recycling Training Strategy for Medical Image Segmentation with
  Diffusion Denoising Models
A Recycling Training Strategy for Medical Image Segmentation with Diffusion Denoising ModelsMachine Learning for Biomedical Imaging (MLBI), 2023
Yunguan Fu
Yiwen Li
Shaheer U. Saeed
Matthew J Clarkson
Yipeng Hu
DiffMMedIm
275
9
0
30 Aug 2023
SketchDreamer: Interactive Text-Augmented Creative Sketch Ideation
SketchDreamer: Interactive Text-Augmented Creative Sketch IdeationBritish Machine Vision Conference (BMVC), 2023
Zhiyu Qu
Tao Xiang
Yi-Zhe Song
DiffM
194
16
0
27 Aug 2023
Unsupervised Domain Adaptation via Domain-Adaptive Diffusion
Unsupervised Domain Adaptation via Domain-Adaptive DiffusionIEEE Transactions on Image Processing (IEEE TIP), 2023
Duo Peng
Qiuhong Ke
Yinjie Lei
Jing Liu
DiffM
166
23
0
26 Aug 2023
DiffI2I: Efficient Diffusion Model for Image-to-Image Translation
DiffI2I: Efficient Diffusion Model for Image-to-Image TranslationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Bin Xia
Yulun Zhang
Shiyin Wang
Yitong Wang
Xing Wu
Yapeng Tian
Wenming Yang
Radu Timotfe
Luc Van Gool
DiffMVLM
242
22
0
26 Aug 2023
Learning variational autoencoders via MCMC speed measures
Learning variational autoencoders via MCMC speed measuresStatistics and computing (Stat. Comput.), 2023
Marcel Hirt
Vasileios Kreouzis
P. Dellaportas
BDLDRL
176
2
0
26 Aug 2023
Residual Denoising Diffusion Models
Residual Denoising Diffusion ModelsComputer Vision and Pattern Recognition (CVPR), 2023
Jiawei Liu
Qiang Wang
Huijie Fan
Yinong Wang
Yandong Tang
Liangqiong Qu
DiffM
474
87
0
25 Aug 2023
Sparks of Large Audio Models: A Survey and Outlook
Sparks of Large Audio Models: A Survey and Outlook
S. Latif
Moazzam Shoukat
Fahad Shamshad
Muhammad Usama
Yi Ren
...
Wenwu Wang
Xulong Zhang
Roberto Togneri
Xiaoshi Zhong
Björn W. Schuller
LM&MAAuLLM
678
53
0
24 Aug 2023
SE(3) Equivariant Augmented Coupling Flows
SE(3) Equivariant Augmented Coupling FlowsNeural Information Processing Systems (NeurIPS), 2023
Laurence I. Midgley
Vincent Stimper
Javier Antorán
Emile Mathieu
Bernhard Schölkopf
José Miguel Hernández-Lobato
442
39
0
20 Aug 2023
Denoising Diffusion for 3D Hand Pose Estimation from Images
Denoising Diffusion for 3D Hand Pose Estimation from Images
Maksym Ivashechkin
Oscar Alejandro Mendez Maldonado
Richard Bowden
DiffM
210
7
0
18 Aug 2023
Diffusion Models for Image Restoration and Enhancement: A Comprehensive Survey
Diffusion Models for Image Restoration and Enhancement: A Comprehensive SurveyInternational Journal of Computer Vision (IJCV), 2023
Xin Li
Yulin Ren
Xin Jin
Cuiling Lan
Xingyu Wang
Wenjun Zeng
Xinchao Wang
Zhibo Chen
372
141
0
18 Aug 2023
Bayesian Flow Networks
Bayesian Flow Networks
Alex Graves
R. Srivastava
Timothy James Atkinson
Faustino J. Gomez
BDL
637
60
0
14 Aug 2023
CLE Diffusion: Controllable Light Enhancement Diffusion Model
CLE Diffusion: Controllable Light Enhancement Diffusion ModelACM Multimedia (ACM MM), 2023
Yuyang Yin
Dejia Xu
Chuangchuang Tan
P. Liu
Yao-Min Zhao
Yunchao Wei
DiffM
212
69
0
13 Aug 2023
ModelScope Text-to-Video Technical Report
ModelScope Text-to-Video Technical Report
Jiuniu Wang
Hangjie Yuan
Dayou Chen
Yingya Zhang
Xiang Wang
Shiwei Zhang
VGenDiffM
348
600
0
12 Aug 2023
Improved Order Analysis and Design of Exponential Integrator for
  Diffusion Models Sampling
Improved Order Analysis and Design of Exponential Integrator for Diffusion Models Sampling
Qinsheng Zhang
Jiaming Song
Yongxin Chen
DiffM
182
15
0
04 Aug 2023
Contrastive Conditional Latent Diffusion for Audio-visual Segmentation
Contrastive Conditional Latent Diffusion for Audio-visual SegmentationIEEE Transactions on Image Processing (IEEE TIP), 2023
Yuxin Mao
Jing Zhang
Mochu Xiang
Yun-Qiu Lv
Dong Li
Yiran Zhong
Yuchao Dai
DiffM
383
41
0
31 Jul 2023
RGB-D-Fusion: Image Conditioned Depth Diffusion of Humanoid Subjects
RGB-D-Fusion: Image Conditioned Depth Diffusion of Humanoid SubjectsIEEE Access (IEEE Access), 2023
Sascha Kirch
Valeria Olyunina
Jan Ondřej
Rafael Pagés
Sergio Martín
Clara Pérez-Molina
196
3
0
29 Jul 2023
AbDiffuser: Full-Atom Generation of in vitro Functioning Antibodies
AbDiffuser: Full-Atom Generation of in vitro Functioning AntibodiesNeural Information Processing Systems (NeurIPS), 2023
Karolis Martinkus
J. Ludwiczak
Kyunghyun Cho
Weishao Lian
J. Lafrance-Vanasse
...
A. Rajpal
Yongpeng Wu
Richard Bonneau
Vladimir Gligorijević
Andreas Loukas
DiffM
276
63
0
28 Jul 2023
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