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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 / 904 papers shown
Title
ResGrad: Residual Denoising Diffusion Probabilistic Models for Text to
  Speech
ResGrad: Residual Denoising Diffusion Probabilistic Models for Text to Speech
Ze Chen
Yihan Wu
Yichong Leng
Jiawei Chen
Haohe Liu
...
Ke Wang
Lei He
Sheng Zhao
Jiang Bian
Danilo Mandic
DiffM
172
26
0
30 Dec 2022
Unsupervised Representation Learning from Pre-trained Diffusion
  Probabilistic Models
Unsupervised Representation Learning from Pre-trained Diffusion Probabilistic ModelsNeural Information Processing Systems (NeurIPS), 2022
Zijian Zhang
Zhou Zhao
Zhijie Lin
DiffM
307
67
0
26 Dec 2022
Your diffusion model secretly knows the dimension of the data manifold
Your diffusion model secretly knows the dimension of the data manifold
Jan Stanczuk
Georgios Batzolis
Teo Deveney
Carola-Bibiane Schönlieb
DiffM
204
35
0
23 Dec 2022
Scalable Adaptive Computation for Iterative Generation
Scalable Adaptive Computation for Iterative GenerationInternational Conference on Machine Learning (ICML), 2022
Allan Jabri
David Fleet
Ting-Li Chen
DiffM
176
149
0
22 Dec 2022
StoRM: A Diffusion-based Stochastic Regeneration Model for Speech
  Enhancement and Dereverberation
StoRM: A Diffusion-based Stochastic Regeneration Model for Speech Enhancement and DereverberationIEEE/ACM Transactions on Audio Speech and Language Processing (TASLP), 2022
Jean-Marie Lemercier
Julius Richter
Simon Welker
Timo Gerkmann
DiffM
395
156
0
22 Dec 2022
Latent Diffusion for Language Generation
Latent Diffusion for Language GenerationNeural Information Processing Systems (NeurIPS), 2022
Justin Lovelace
Varsha Kishore
Chao-gang Wan
Eliot Shekhtman
Kilian Q. Weinberger
DiffM
211
106
0
19 Dec 2022
Speed up the inference of diffusion models via shortcut MCMC sampling
Speed up the inference of diffusion models via shortcut MCMC sampling
Gang Chen
DiffM
68
2
0
18 Dec 2022
Uncovering the Disentanglement Capability in Text-to-Image Diffusion
  Models
Uncovering the Disentanglement Capability in Text-to-Image Diffusion ModelsComputer Vision and Pattern Recognition (CVPR), 2022
Qiucheng Wu
Yujian Liu
Handong Zhao
Ajinkya Kale
T. Bui
Tong Yu
Zhe Lin
Yang Zhang
Shiyu Chang
DiffMCoGe
231
119
0
16 Dec 2022
SADM: Sequence-Aware Diffusion Model for Longitudinal Medical Image
  Generation
SADM: Sequence-Aware Diffusion Model for Longitudinal Medical Image GenerationInformation Processing in Medical Imaging (IPMI), 2022
Jee Seok Yoon
Chenghao Zhang
Heung-Il Suk
Jia Guo
Xiaoxia Li
DiffMMedIm
202
61
0
16 Dec 2022
Towards Practical Plug-and-Play Diffusion Models
Towards Practical Plug-and-Play Diffusion ModelsComputer Vision and Pattern Recognition (CVPR), 2022
Hyojun Go
Yunsung Lee
Jin-Young Kim
Seunghyun Lee
Myeongho Jeong
Hyun Seung Lee
Seungtaek Choi
DiffM
230
21
0
12 Dec 2022
How to Backdoor Diffusion Models?
How to Backdoor Diffusion Models?Computer Vision and Pattern Recognition (CVPR), 2022
Sheng-Yen Chou
Pin-Yu Chen
Tsung-Yi Ho
DiffMSILM
381
113
0
11 Dec 2022
Executing your Commands via Motion Diffusion in Latent Space
Executing your Commands via Motion Diffusion in Latent SpaceComputer Vision and Pattern Recognition (CVPR), 2022
Xin Chen
Biao Jiang
Wen Liu
Zilong Huang
Bin-Bin Fu
Tao Chen
Jingyi Yu
Gang Yu
VGenDiffM
377
498
0
08 Dec 2022
Semantic-Conditional Diffusion Networks for Image Captioning
Semantic-Conditional Diffusion Networks for Image CaptioningComputer Vision and Pattern Recognition (CVPR), 2022
Jianjie Luo
Yehao Li
Yingwei Pan
Ting Yao
Jianlin Feng
Hongyang Chao
Tao Mei
DiffM
185
108
0
06 Dec 2022
DiffuPose: Monocular 3D Human Pose Estimation via Denoising Diffusion
  Probabilistic Model
DiffuPose: Monocular 3D Human Pose Estimation via Denoising Diffusion Probabilistic ModelIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
Jeongjun Choi
D. Shim
H. J. Kim
215
40
0
06 Dec 2022
PhysDiff: Physics-Guided Human Motion Diffusion Model
PhysDiff: Physics-Guided Human Motion Diffusion ModelIEEE International Conference on Computer Vision (ICCV), 2022
Ye Yuan
Jiaming Song
Umar Iqbal
Arash Vahdat
Jan Kautz
VGenDiffM
475
345
0
05 Dec 2022
Multiscale Structure Guided Diffusion for Image Deblurring
Multiscale Structure Guided Diffusion for Image DeblurringIEEE International Conference on Computer Vision (ICCV), 2022
Mengwei Ren
M. Delbracio
Hossein Talebi
Guido Gerig
P. Milanfar
DiffM
203
89
0
04 Dec 2022
Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D
  Generation
Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D GenerationComputer Vision and Pattern Recognition (CVPR), 2022
Haochen Wang
Xiaodan Du
Jiahao Li
Raymond A. Yeh
Gregory Shakhnarovich
DiffM
481
629
0
01 Dec 2022
NeuralLift-360: Lifting An In-the-wild 2D Photo to A 3D Object with
  360° Views
NeuralLift-360: Lifting An In-the-wild 2D Photo to A 3D Object with 360° ViewsComputer Vision and Pattern Recognition (CVPR), 2022
Dejia Xu
Lezhi Li
Peihao Wang
Zhiwen Fan
Yi Wang
Zinan Lin
DiffM
170
163
0
29 Nov 2022
Wavelet Diffusion Models are fast and scalable Image Generators
Wavelet Diffusion Models are fast and scalable Image GeneratorsComputer Vision and Pattern Recognition (CVPR), 2022
Hao Phung
Quan Dao
Anh Tran
DiffM
177
146
0
29 Nov 2022
VideoFACT: Detecting Video Forgeries Using Attention, Scene Context, and
  Forensic Traces
VideoFACT: Detecting Video Forgeries Using Attention, Scene Context, and Forensic TracesIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
T. D. Nguyen
Shengbang Fang
Matthew C. Stamm
195
14
0
28 Nov 2022
Refining Generative Process with Discriminator Guidance in Score-based
  Diffusion Models
Refining Generative Process with Discriminator Guidance in Score-based Diffusion ModelsInternational Conference on Machine Learning (ICML), 2022
Dongjun Kim
Yeongmin Kim
Se Jung Kwon
Wanmo Kang
Il-Chul Moon
DiffM
392
101
0
28 Nov 2022
Is Conditional Generative Modeling all you need for Decision-Making?
Is Conditional Generative Modeling all you need for Decision-Making?International Conference on Learning Representations (ICLR), 2022
Anurag Ajay
Yilun Du
Abhi Gupta
J. Tenenbaum
Tommi Jaakkola
Pulkit Agrawal
DiffM
526
514
0
28 Nov 2022
Realtime Fewshot Portrait Stylization Based On Geometric Alignment
Realtime Fewshot Portrait Stylization Based On Geometric Alignment
Xinrui Wang
Zhuoru Li
Xiaolei Zhou
Yusuke Iwasawa
Yutaka Matsuo
3DH
148
1
0
28 Nov 2022
Continuous diffusion for categorical data
Continuous diffusion for categorical data
Sander Dieleman
Laurent Sartran
Arman Roshannai
Nikolay Savinov
Yaroslav Ganin
...
Conor Durkan
Curtis Hawthorne
Rémi Leblond
Will Grathwohl
J. Adler
DiffM
253
139
0
28 Nov 2022
TetraDiffusion: Tetrahedral Diffusion Models for 3D Shape Generation
TetraDiffusion: Tetrahedral Diffusion Models for 3D Shape GenerationEuropean Conference on Computer Vision (ECCV), 2022
Nikolai Kalischek
T. Peters
Jan Dirk Wegner
Konrad Schindler
DiffM
121
14
0
23 Nov 2022
SinDiffusion: Learning a Diffusion Model from a Single Natural Image
SinDiffusion: Learning a Diffusion Model from a Single Natural ImageIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Weilun Wang
Jianmin Bao
Wen-gang Zhou
Dongdong Chen
Dong Chen
Lu Yuan
Houqiang Li
DiffM
146
60
0
22 Nov 2022
DOLCE: A Model-Based Probabilistic Diffusion Framework for Limited-Angle
  CT Reconstruction
DOLCE: A Model-Based Probabilistic Diffusion Framework for Limited-Angle CT ReconstructionIEEE International Conference on Computer Vision (ICCV), 2022
Jiaming Liu
Rushil Anirudh
Jayaraman J. Thiagarajan
Stewart He
K. A. Mohan
Ulugbek S. Kamilov
Hyojin Kim
MedImDiffM
142
96
0
22 Nov 2022
VectorFusion: Text-to-SVG by Abstracting Pixel-Based Diffusion Models
VectorFusion: Text-to-SVG by Abstracting Pixel-Based Diffusion ModelsComputer Vision and Pattern Recognition (CVPR), 2022
Ajay Jain
Amber Xie
Pieter Abbeel
DiffM
179
116
0
21 Nov 2022
DiffBP: Generative Diffusion of 3D Molecules for Target Protein Binding
DiffBP: Generative Diffusion of 3D Molecules for Target Protein BindingChemical Science (Chem. Sci.), 2022
Haitao Lin
Yufei Huang
Odin Zhang
Siqi Ma
Meng Liu
X. Li
Lirong Wu
Shuiwang Ji
Tingjun Hou
Stan Z. Li
DiffM
237
94
0
21 Nov 2022
Patch-Based Denoising Diffusion Probabilistic Model for Sparse-View CT
  Reconstruction
Patch-Based Denoising Diffusion Probabilistic Model for Sparse-View CT Reconstruction
Wenjun Xia
W. Cong
Ge Wang
DiffMMedIm
167
28
0
18 Nov 2022
RenderDiffusion: Image Diffusion for 3D Reconstruction, Inpainting and
  Generation
RenderDiffusion: Image Diffusion for 3D Reconstruction, Inpainting and GenerationComputer Vision and Pattern Recognition (CVPR), 2022
Titas Anciukevicius
Zexiang Xu
Matthew Fisher
Paul Henderson
Hakan Bilen
Niloy J. Mitra
Paul Guerrero
195
192
0
17 Nov 2022
Listen, Denoise, Action! Audio-Driven Motion Synthesis with Diffusion
  Models
Listen, Denoise, Action! Audio-Driven Motion Synthesis with Diffusion ModelsACM Transactions on Graphics (TOG), 2022
Simon Alexanderson
Rajmund Nagy
Jonas Beskow
G. Henter
DiffMVGen
249
220
0
17 Nov 2022
Fast Graph Generation via Spectral Diffusion
Fast Graph Generation via Spectral DiffusionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Tianze Luo
Zhanfeng Mo
Sinno Jialin Pan
DiffM
210
42
0
16 Nov 2022
Versatile Diffusion: Text, Images and Variations All in One Diffusion
  Model
Versatile Diffusion: Text, Images and Variations All in One Diffusion ModelIEEE International Conference on Computer Vision (ICCV), 2022
Xingqian Xu
Zinan Lin
Eric Zhang
Kai Wang
Humphrey Shi
DiffM
435
238
0
15 Nov 2022
General Intelligence Requires Rethinking Exploration
General Intelligence Requires Rethinking ExplorationRoyal Society Open Science (RSOS), 2022
Minqi Jiang
Tim Rocktaschel
Edward Grefenstette
LRM
172
24
0
15 Nov 2022
OverFlow: Putting flows on top of neural transducers for better TTS
OverFlow: Putting flows on top of neural transducers for better TTSInterspeech (Interspeech), 2022
Shivam Mehta
Ambika Kirkland
Harm Lameris
Jonas Beskow
Éva Székely
G. Henter
AI4TS
229
16
0
13 Nov 2022
Self-conditioned Embedding Diffusion for Text Generation
Self-conditioned Embedding Diffusion for Text Generation
Robin Strudel
Corentin Tallec
Florent Altché
Yilun Du
Yaroslav Ganin
...
Will Grathwohl
Nikolay Savinov
Sander Dieleman
Laurent Sifre
Rémi Leblond
DiffM
163
102
0
08 Nov 2022
Few-shot Image Generation with Diffusion Models
Few-shot Image Generation with Diffusion Models
Jin Zhu
Huimin Ma
Jiansheng Chen
Jian Yuan
DiffM
272
28
0
07 Nov 2022
Modeling Temporal Data as Continuous Functions with Stochastic Process
  Diffusion
Modeling Temporal Data as Continuous Functions with Stochastic Process DiffusionInternational Conference on Machine Learning (ICML), 2022
Marin Bilos
Kashif Rasul
Anderson Schneider
Yuriy Nevmyvaka
Stephan Günnemann
DiffM
241
46
0
04 Nov 2022
An optimal control perspective on diffusion-based generative modeling
An optimal control perspective on diffusion-based generative modeling
Julius Berner
Lorenz Richter
Karen Ullrich
DiffM
395
123
0
02 Nov 2022
Verified Reversible Programming for Verified Lossless Compression
Verified Reversible Programming for Verified Lossless Compression
James Townsend
Jan-Willem van de Meent
155
0
0
02 Nov 2022
DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models
DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic ModelsMachine Intelligence Research (MIR), 2022
Cheng Lu
Yuhao Zhou
Fan Bao
Jianfei Chen
Chongxuan Li
Jun Zhu
DiffM
610
794
0
02 Nov 2022
A simple, efficient and scalable contrastive masked autoencoder for
  learning visual representations
A simple, efficient and scalable contrastive masked autoencoder for learning visual representations
Shlok Kumar Mishra
Joshua Robinson
Huiwen Chang
David Jacobs
Aaron Sarna
Aaron Maschinot
Dilip Krishnan
DiffM
210
37
0
30 Oct 2022
Conditioning and Sampling in Variational Diffusion Models for Speech
  Super-Resolution
Conditioning and Sampling in Variational Diffusion Models for Speech Super-ResolutionIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Chin-Yun Yu
Sung-Lin Yeh
Gyorgy Fazekas
Hao Tang
DiffM
119
31
0
27 Oct 2022
Towards the Detection of Diffusion Model Deepfakes
Towards the Detection of Diffusion Model Deepfakes
Jonas Ricker
Simon Damm
Thorsten Holz
Asja Fischer
DiffM
297
133
0
26 Oct 2022
Structure-based Drug Design with Equivariant Diffusion Models
Structure-based Drug Design with Equivariant Diffusion ModelsNature Computational Science (Nat. Comput. Sci.), 2022
Arne Schneuing
Yuanqi Du
Charles Harris
Arian R. Jamasb
Ilia Igashov
...
Pietro Lio
Daniel Schwalbe-Koda
Max Welling
Michael M. Bronstein
B. Correia
DiffM
308
325
0
24 Oct 2022
Deep Equilibrium Approaches to Diffusion Models
Deep Equilibrium Approaches to Diffusion ModelsNeural Information Processing Systems (NeurIPS), 2022
Ashwini Pokle
Zhengyang Geng
Zico Kolter
DiffM
246
48
0
23 Oct 2022
Autoregressive Generative Modeling with Noise Conditional Maximum
  Likelihood Estimation
Autoregressive Generative Modeling with Noise Conditional Maximum Likelihood Estimation
Henry Li
Y. Kluger
131
2
0
19 Oct 2022
Optimizing Hierarchical Image VAEs for Sample Quality
Optimizing Hierarchical Image VAEs for Sample Quality
Eric Luhman
Troy Luhman
DRL
141
5
0
18 Oct 2022
Differentially Private Diffusion Models
Differentially Private Diffusion Models
Tim Dockhorn
Tianshi Cao
Arash Vahdat
Karsten Kreis
DiffM
310
125
0
18 Oct 2022
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