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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
Functional Diffusion
Computer Vision and Pattern Recognition (CVPR), 2023
Biao Zhang
Peter Wonka
DiffM
355
12
0
26 Nov 2023
Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets
A. Blattmann
Tim Dockhorn
Sumith Kulal
Daniel Mendelevitch
Maciej Kilian
...
Zion English
Vikram S. Voleti
Adam Letts
Varun Jampani
Robin Rombach
VGen
979
1,953
0
25 Nov 2023
ToddlerDiffusion: Flash Interpretable Controllable Diffusion Model
International Conference on Learning Representations (ICLR), 2023
Eslam Mohamed Bakr
Liangbing Zhao
Vincent Tao Hu
Matthieu Cord
Patrick Pérez
Mohamed Elhoseiny
184
0
0
24 Nov 2023
DiffusionMat: Alpha Matting as Sequential Refinement Learning
Yangyang Xu
Shengfeng He
Wenqi Shao
Kwan-Yee K. Wong
Yu Qiao
Ping Luo
DiffM
174
6
0
22 Nov 2023
Accelerating Inference in Molecular Diffusion Models with Latent Representations of Protein Structure
Ian Dunn
D. Koes
DiffM
GNN
216
6
0
22 Nov 2023
FrePolad: Frequency-Rectified Point Latent Diffusion for Point Cloud Generation
European Conference on Computer Vision (ECCV), 2023
Chenliang Zhou
Fangcheng Zhong
Param Hanji
Zhilin Guo
Kyle Fogarty
Alejandro Sztrajman
Hongyun Gao
Cengiz Öztireli
237
6
0
20 Nov 2023
Reti-Diff: Illumination Degradation Image Restoration with Retinex-based Latent Diffusion Model
Chunming He
Chengyu Fang
Yulun Zhang
Chenyu You
Kai Li
Longxiang Tang
Fengyang Xiao
Xiu Li
Z. Guo
390
58
0
20 Nov 2023
Deep Equilibrium Diffusion Restoration with Parallel Sampling
Jingyun Liang
Yue Shi
Kai Zhang
Yulun Zhang
Radu Timofte
Luc Van Gool
DiffM
266
23
0
20 Nov 2023
Mitigating Exposure Bias in Discriminator Guided Diffusion Models
Eleftherios Tsonis
Paraskevi Tzouveli
Athanasios Voulodimos
DiffM
208
1
0
18 Nov 2023
Graph Signal Diffusion Model for Collaborative Filtering
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023
Yunqin Zhu
Chao Wang
Qi Zhang
Hui Xiong
DiffM
367
38
0
15 Nov 2023
UFOGen: You Forward Once Large Scale Text-to-Image Generation via Diffusion GANs
Computer Vision and Pattern Recognition (CVPR), 2023
Yanwu Xu
Yang Zhao
Zhisheng Xiao
Tingbo Hou
913
163
0
14 Nov 2023
Probabilistic reconstruction of Dark Matter fields from biased tracers using diffusion models
Core Francisco Park
Victoria Ono
N. Mudur
Yueying Ni
C. Cuesta-Lázaro
DiffM
151
5
0
14 Nov 2023
Bayesian Conditional Diffusion Models for Versatile Spatiotemporal Turbulence Generation
Computer Methods in Applied Mechanics and Engineering (CMAME), 2023
Han Gao
Xu Han
Xiantao Fan
Luning Sun
Liping Liu
Lian Duan
Jian-Xun Wang
DiffM
AI4CE
222
43
0
14 Nov 2023
Sampler Scheduler for Diffusion Models
Zitong Cheng
DiffM
229
2
0
12 Nov 2023
A 3D Conditional Diffusion Model for Image Quality Transfer -- An Application to Low-Field MRI
Seunghoi Kim
Henry F. J. Tregidgo
A. Eldaly
Matteo Figini
Daniel C. Alexander
DiffM
MedIm
175
14
0
11 Nov 2023
Conditional Optimal Transport on Function Spaces
Bamdad Hosseini
Alexander W. Hsu
Amirhossein Taghvaei
OT
418
22
0
09 Nov 2023
I2VGen-XL: High-Quality Image-to-Video Synthesis via Cascaded Diffusion Models
Shiwei Zhang
Jiayu Wang
Yingya Zhang
Kang Zhao
Hangjie Yuan
Zhan Qin
Xiang Wang
Deli Zhao
Jingren Zhou
DiffM
VGen
446
322
0
07 Nov 2023
Reducing Spatial Fitting Error in Distillation of Denoising Diffusion Models
AAAI Conference on Artificial Intelligence (AAAI), 2023
Shengzhe Zhou
Zejian Lee
Sheng Zhang
Lefan Hou
Changyuan Yang
Guang Yang
Zhiyuan Yang
Lingyun Sun
DiffM
267
1
0
07 Nov 2023
Multi-Resolution Diffusion for Privacy-Sensitive Recommender Systems
IEEE Access (IEEE Access), 2023
Derek Lilienthal
Paul Mello
Magdalini Eirinaki
Stas Tiomkin
SyDa
DiffM
491
10
0
06 Nov 2023
STRIDE: Structure-guided Generation for Inverse Design of Molecules
Shehtab Zaman
D. Akhiyarov
Mauricio Araya-Polo
Kenneth Chiu
235
2
0
06 Nov 2023
Expanding Expressiveness of Diffusion Models with Limited Data via Self-Distillation based Fine-Tuning
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Jiwan Hur
Jaehyun Choi
Gyojin Han
Dong-Jae Lee
Junmo Kim
256
10
0
02 Nov 2023
Copilot4D: Learning Unsupervised World Models for Autonomous Driving via Discrete Diffusion
International Conference on Learning Representations (ICLR), 2023
Lunjun Zhang
Yuwen Xiong
Ze Yang
Sergio Casas
Rui Hu
R. Urtasun
571
91
0
02 Nov 2023
Gaussian Mixture Solvers for Diffusion Models
Neural Information Processing Systems (NeurIPS), 2023
Hanzhong Guo
Cheng Lu
Fan Bao
Tianyu Pang
Shuicheng Yan
Chao Du
Chongxuan Li
199
16
0
02 Nov 2023
Diffusion models for probabilistic programming
Simon Dirmeier
Fernando Pérez-Cruz
194
1
0
01 Nov 2023
Score Normalization for a Faster Diffusion Exponential Integrator Sampler
Guoxuan Xia
Duolikun Danier
Ayan Das
Stathi Fotiadis
F. Nabiei
Ushnish Sengupta
A. Bernacchia
DiffM
233
3
0
31 Oct 2023
A Tractable Inference Perspective of Offline RL
Neural Information Processing Systems (NeurIPS), 2023
Xuejie Liu
Hoang Trung-Dung
Karen Ullrich
Yitao Liang
OffRL
509
1
0
31 Oct 2023
Scaling Riemannian Diffusion Models
Neural Information Processing Systems (NeurIPS), 2023
Aaron Lou
Minkai Xu
Stefano Ermon
231
13
0
30 Oct 2023
DiffEnc: Variational Diffusion with a Learned Encoder
International Conference on Learning Representations (ICLR), 2023
Beatrix M. G. Nielsen
Anders Christensen
Andrea Dittadi
Ole Winther
DiffM
392
16
0
30 Oct 2023
The SVHN Dataset Is Deceptive for Probabilistic Generative Models Due to a Distribution Mismatch
Tim Z. Xiao
Johannes Zenn
Kushagra Pandey
249
3
0
30 Oct 2023
Predicting mutational effects on protein-protein binding via a side-chain diffusion probabilistic model
Neural Information Processing Systems (NeurIPS), 2023
Shiwei Liu
Tian Zhu
Milong Ren
Chungong Yu
Dongbo Bu
Haicang Zhang
DiffM
135
22
0
30 Oct 2023
Text-to-3D with Classifier Score Distillation
International Conference on Learning Representations (ICLR), 2023
Xin Yu
Yuanchen Guo
Yangguang Li
Ding Liang
Song-Hai Zhang
Xiaojuan Qi
DiffM
436
120
0
30 Oct 2023
Bespoke Solvers for Generative Flow Models
International Conference on Learning Representations (ICLR), 2023
Neta Shaul
Juan C. Pérez
Ricky T. Q. Chen
Ali K. Thabet
Albert Pumarola
Y. Lipman
235
33
0
29 Oct 2023
Purify++: Improving Diffusion-Purification with Advanced Diffusion Models and Control of Randomness
Boya Zhang
Weijian Luo
Zhihua Zhang
232
16
0
28 Oct 2023
Likelihood-based Out-of-Distribution Detection with Denoising Diffusion Probabilistic Models
British Machine Vision Conference (BMVC), 2023
Joseph Goodier
Neill D.F. Campbell
DiffM
162
7
0
26 Oct 2023
Hierarchical Semi-Implicit Variational Inference with Application to Diffusion Model Acceleration
Neural Information Processing Systems (NeurIPS), 2023
Longlin Yu
Tianyu Xie
Yu Zhu
Tong Yang
Xiangyu Zhang
Cheng Zhang
DiffM
217
14
0
26 Oct 2023
Local Statistics for Generative Image Detection
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Yung Jer Wong
Teck Khim Ng
DiffM
197
4
0
25 Oct 2023
Improving Diffusion Models for ECG Imputation with an Augmented Template Prior
Alexander Jenkins
Zehua Chen
F. Ng
Danilo Mandic
DiffM
210
6
0
24 Oct 2023
DPM-Solver-v3: Improved Diffusion ODE Solver with Empirical Model Statistics
Kaiwen Zheng
Cheng Lu
Jianfei Chen
Jun Zhu
DiffM
415
144
0
20 Oct 2023
Generative Marginalization Models
Sulin Liu
Peter J. Ramadge
Ryan P. Adams
210
2
0
19 Oct 2023
Scalable Diffusion for Materials Generation
International Conference on Learning Representations (ICLR), 2023
Mengjiao Yang
KwangHwan Cho
Amil Merchant
Pieter Abbeel
Dale Schuurmans
Igor Mordatch
E. D. Cubuk
248
68
0
18 Oct 2023
Bayesian Flow Networks in Continual Learning
Mateusz Pyla
Kamil Deja
Bartlomiej Twardowski
Tomasz Trzciñski
BDL
218
0
0
18 Oct 2023
BayesDiff: Estimating Pixel-wise Uncertainty in Diffusion via Bayesian Inference
International Conference on Learning Representations (ICLR), 2023
Siqi Kou
Lei Gan
Yi Xu
Chongxuan Li
Zhijie Deng
BDL
DiffM
222
12
0
17 Oct 2023
Real-Fake: Effective Training Data Synthesis Through Distribution Matching
International Conference on Learning Representations (ICLR), 2023
Jianhao Yuan
Jie Zhang
Shuyang Sun
Juil Sock
Bo Zhao
239
45
0
16 Oct 2023
Towards image compression with perfect realism at ultra-low bitrates
International Conference on Learning Representations (ICLR), 2023
Marlene Careil
Matthew Muckley
Jakob Verbeek
Stéphane Lathuilière
DiffM
317
93
0
16 Oct 2023
Towards More Accurate Diffusion Model Acceleration with A Timestep Tuner
Mengfei Xia
Yujun Shen
Changsong Lei
Yu Zhou
Ran Yi
Deli Zhao
Wenping Wang
Yong Liu
179
5
0
14 Oct 2023
MINDE: Mutual Information Neural Diffusion Estimation
International Conference on Learning Representations (ICLR), 2023
Giulio Franzese
Mustapha Bounoua
Pietro Michiardi
DiffM
234
17
0
13 Oct 2023
Debias the Training of Diffusion Models
European Conference on Computer Vision (ECCV), 2023
Huikang Yu
Li Shen
Jie Huang
Man Zhou
Hongsheng Li
Feng Zhao
DiffM
171
2
0
12 Oct 2023
Neural Diffusion Models
International Conference on Machine Learning (ICML), 2023
Grigory Bartosh
Dmitry Vetrov
C. A. Naesseth
DiffM
373
15
0
12 Oct 2023
Interpretable Diffusion via Information Decomposition
International Conference on Learning Representations (ICLR), 2023
Xianghao Kong
Ollie Liu
Han Li
Dani Yogatama
Greg Ver Steeg
444
31
0
12 Oct 2023
ConditionVideo: Training-Free Condition-Guided Text-to-Video Generation
AAAI Conference on Artificial Intelligence (AAAI), 2023
Bo Peng
Xinyuan Chen
Yaohui Wang
Chaochao Lu
Yu Qiao
DiffM
VGen
215
7
0
11 Oct 2023
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