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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
A Survey on Generative Modeling with Limited Data, Few Shots, and Zero Shot
Milad Abdollahzadeh
Touba Malekzadeh
Christopher T. H. Teo
Keshigeyan Chandrasegaran
Guimeng Liu
Ngai-Man Cheung
MedIm
VLM
327
28
0
26 Jul 2023
TF-ICON: Diffusion-Based Training-Free Cross-Domain Image Composition
IEEE International Conference on Computer Vision (ICCV), 2023
Shilin Lu
Yanzhu Liu
A. Kong
611
181
0
24 Jul 2023
Reference-based Painterly Inpainting via Diffusion: Crossing the Wild Reference Domain Gap
Dejia Xu
Xingqian Xu
Wenyan Cong
Humphrey Shi
Zinan Lin
DiffM
169
4
0
20 Jul 2023
Flow Matching in Latent Space
Quan Dao
Hao Phung
Binh Duc Nguyen
Anh Tran
360
107
0
17 Jul 2023
Diffusion to Confusion: Naturalistic Adversarial Patch Generation Based on Diffusion Model for Object Detector
International Conference on Information Photonics (ICIP), 2023
Shuohao Lin
Ernie Chu
Che-Hsien Lin
Jun-Cheng Chen
Jia-Ching Wang
DiffM
227
15
0
16 Jul 2023
LafitE: Latent Diffusion Model with Feature Editing for Unsupervised Multi-class Anomaly Detection
Haonan Yin
Guanlong Jiao
Qianhui Wu
Börje F. Karlsson
Biqing Huang
Chin-Yew Lin
DiffM
226
15
0
16 Jul 2023
Gradient Surgery for One-shot Unlearning on Generative Model
Seohui Bae
Seoyoon Kim
Hyemin Jung
Woohyung Lim
BDL
MU
223
15
0
10 Jul 2023
Exact Diffusion Inversion via Bi-directional Integration Approximation
European Conference on Computer Vision (ECCV), 2023
Guoqiang Zhang
J. P. Lewis
W. Kleijn
DiffM
462
32
0
10 Jul 2023
ChatGPT in the Age of Generative AI and Large Language Models: A Concise Survey
S. Mohamadi
Ghulam Mujtaba
Ngan Le
Gianfranco Doretto
Don Adjeroh
LM&MA
AI4MH
303
37
0
09 Jul 2023
DiffFlow: A Unified SDE Framework for Score-Based Diffusion Models and Generative Adversarial Networks
Jingwei Zhang
Han Shi
Jincheng Yu
Enze Xie
Zhenguo Li
DiffM
165
4
0
05 Jul 2023
Collaborative Score Distillation for Consistent Visual Synthesis
Subin Kim
Kyungmin Lee
June Suk Choi
Jongheon Jeong
Kihyuk Sohn
Jinwoo Shin
DiffM
165
21
0
04 Jul 2023
Beyond Conservatism: Diffusion Policies in Offline Multi-agent Reinforcement Learning
Zhuoran Li
Ling Pan
Longbo Huang
DiffM
OffRL
182
16
0
04 Jul 2023
Improved sampling via learned diffusions
International Conference on Learning Representations (ICLR), 2023
Lorenz Richter
Julius Berner
DiffM
393
88
0
03 Jul 2023
Transport meets Variational Inference: Controlled Monte Carlo Diffusions
International Conference on Learning Representations (ICLR), 2023
Francisco Vargas
Shreyas Padhy
Denis Blessing
Nikolas Nusken
DiffM
OT
888
13
0
03 Jul 2023
ACDMSR: Accelerated Conditional Diffusion Models for Single Image Super-Resolution
IEEE transactions on broadcasting (IEEE Trans. Broadcast.), 2023
Axi Niu
T. Pham
Kang Zhang
Jinqiu Sun
Yu Zhu
Inso Kweon
Yanning Zhang
DiffM
197
54
0
03 Jul 2023
Spiking Denoising Diffusion Probabilistic Models
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Jiahang Cao
Ziqing Wang
Hanzhong Guo
Haotai Cheng
Qiang Zhang
Renjing Xu
DiffM
288
22
0
29 Jun 2023
High Fidelity Image Counterfactuals with Probabilistic Causal Models
International Conference on Machine Learning (ICML), 2023
Fabio De Sousa Ribeiro
Tian Xia
M. Monteiro
Nick Pawlowski
Ben Glocker
DiffM
225
60
0
27 Jun 2023
Anomaly Detection in Networks via Score-Based Generative Models
Dmitrii Gavrilev
Evgeny Burnaev
144
3
0
27 Jun 2023
ViNT: A Foundation Model for Visual Navigation
Conference on Robot Learning (CoRL), 2023
Dhruv Shah
A. Sridhar
Nitish Dashora
Kyle Stachowicz
Kevin Black
Noriaki Hirose
Sergey Levine
LM&Ro
297
241
0
26 Jun 2023
DomainStudio: Fine-Tuning Diffusion Models for Domain-Driven Image Generation using Limited Data
International Journal of Computer Vision (IJCV), 2023
Jin Zhu
Huimin Ma
Jiansheng Chen
Jian Yuan
DiffM
469
19
0
25 Jun 2023
A First Order Meta Stackelberg Method for Robust Federated Learning (Technical Report)
Henger Li
Tianyi Xu
Tao Li
Yunian Pan
Quanyan Zhu
Zizhan Zheng
AAML
FedML
365
1
0
23 Jun 2023
Impacts and Risk of Generative AI Technology on Cyber Defense
Subash Neupane
Ivan A. Fernandez
Sudip Mittal
Shahram Rahimi
213
24
0
22 Jun 2023
Fast Conditional Mixing of MCMC Algorithms for Non-log-concave Distributions
Neural Information Processing Systems (NeurIPS), 2023
Xiang Cheng
Bohan Wang
J.N. Zhang
Yusong Zhu
249
7
0
18 Jun 2023
Energy-Based Cross Attention for Bayesian Context Update in Text-to-Image Diffusion Models
Neural Information Processing Systems (NeurIPS), 2023
Geon Yeong Park
Jeongsol Kim
Beomsu Kim
Sang Wan Lee
Jong Chul Ye
DiffM
316
31
0
16 Jun 2023
R2-Diff: Denoising by diffusion as a refinement of retrieved motion for image-based motion prediction
Neurocomputing (Neurocomputing), 2023
Takeru Oba
Norimichi Ukita
DiffM
244
3
0
15 Jun 2023
Annotator Consensus Prediction for Medical Image Segmentation with Diffusion Models
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
Tomer Amit
Shmuel Shichrur
Tal Shaharabany
Lior Wolf
MedIm
DiffM
198
16
0
15 Jun 2023
Variance-Preserving-Based Interpolation Diffusion Models for Speech Enhancement
Interspeech (Interspeech), 2023
Zilu Guo
Jun Du
Chin-Hui Lee
Yu Gao
Wen-bo Zhang
DiffM
224
11
0
14 Jun 2023
DORSal: Diffusion for Object-centric Representations of Scenes et al
International Conference on Learning Representations (ICLR), 2023
Allan Jabri
Sjoerd van Steenkiste
Emiel Hoogeboom
Mehdi S. M. Sajjadi
Thomas Kipf
378
18
0
13 Jun 2023
User-defined Event Sampling and Uncertainty Quantification in Diffusion Models for Physical Dynamical Systems
International Conference on Machine Learning (ICML), 2023
Marc Finzi
Anudhyan Boral
A. Wilson
Fei Sha
Leonardo Zepeda-Núñez
DiffM
213
30
0
13 Jun 2023
On Kinetic Optimal Probability Paths for Generative Models
International Conference on Machine Learning (ICML), 2023
Neta Shaul
Ricky T. Q. Chen
Maximilian Nickel
Matt Le
Y. Lipman
OT
194
36
0
11 Jun 2023
BOOT: Data-free Distillation of Denoising Diffusion Models with Bootstrapping
Jiatao Gu
Shuangfei Zhai
Yizhe Zhang
Lingjie Liu
J. Susskind
DiffM
213
94
0
08 Jun 2023
Protein Discovery with Discrete Walk-Jump Sampling
International Conference on Learning Representations (ICLR), 2023
Nathan C. Frey
Daniel Berenberg
Karina Zadorozhny
J. Kleinhenz
J. Lafrance-Vanasse
...
Richard Bonneau
Kyunghyun Cho
Andreas Loukas
Vladimir Gligorijević
Saeed Saremi
DiffM
299
49
0
08 Jun 2023
On the Design Fundamentals of Diffusion Models: A Survey
Pattern Recognition (Pattern Recogn.), 2023
Ziyi Chang
George Alex Koulieris
Hyung Jin Chang
Hubert P. H. Shum
DiffM
630
80
0
07 Jun 2023
High-dimensional and Permutation Invariant Anomaly Detection
SciPost Physics (SciPost Phys.), 2023
Vinicius Mikuni
Benjamin Nachman
DiffM
439
22
0
06 Jun 2023
PLANNER: Generating Diversified Paragraph via Latent Language Diffusion Model
Neural Information Processing Systems (NeurIPS), 2023
Yizhe Zhang
Jiatao Gu
Zhuofeng Wu
Shuangfei Zhai
J. Susskind
Navdeep Jaitly
DiffM
393
44
0
05 Jun 2023
PolyDiffuse: Polygonal Shape Reconstruction via Guided Set Diffusion Models
Neural Information Processing Systems (NeurIPS), 2023
Jiacheng Chen
Ruizhi Deng
Yasutaka Furukawa
DiffM
285
35
0
02 Jun 2023
Diffusion Self-Guidance for Controllable Image Generation
Neural Information Processing Systems (NeurIPS), 2023
Dave Epstein
Allan Jabri
Ben Poole
Alexei A. Efros
Aleksander Holynski
379
344
0
01 Jun 2023
Conditioning Diffusion Models via Attributes and Semantic Masks for Face Generation
Computer Vision and Image Understanding (CVIU), 2023
Nico Giambi
G. Lisanti
DiffM
255
14
0
01 Jun 2023
Dissecting Arbitrary-scale Super-resolution Capability from Pre-trained Diffusion Generative Models
Ruibin Li
Qihua Zhou
Song Guo
Jiewei Zhang
Jingcai Guo
Xinyang Jiang
Yifei Shen
Zhen-Hai Han
DiffM
215
15
0
01 Jun 2023
Image generation with shortest path diffusion
International Conference on Machine Learning (ICML), 2023
Ayan Das
Stathi Fotiadis
Anil Batra
F. Nabiei
FengTing Liao
Sattar Vakili
Da-shan Shiu
A. Bernacchia
176
12
0
01 Jun 2023
Addressing Negative Transfer in Diffusion Models
Neural Information Processing Systems (NeurIPS), 2023
Hyojun Go
Jinyoung Kim
Yunsung Lee
Seunghyun Lee
Shinhyeok Oh
Hyeongdon Moon
Seungtaek Choi
DiffM
VLM
546
31
0
01 Jun 2023
Control4D: Efficient 4D Portrait Editing with Text
Computer Vision and Pattern Recognition (CVPR), 2023
Ruizhi Shao
Jingxiang Sun
Cheng Peng
Zerong Zheng
Boyao Zhou
Hongwen Zhang
Yebin Liu
DiffM
282
36
0
31 May 2023
GANDiffFace: Controllable Generation of Synthetic Datasets for Face Recognition with Realistic Variations
Pietro Melzi
Christian Rathgeb
Ruben Tolosana
R. Vera-Rodríguez
Dominik Lawatsch
Florian Domin
Maxim Schaubert
DiffM
206
76
0
31 May 2023
A Geometric Perspective on Diffusion Models
Defang Chen
Zhenyu Zhou
Jianhan Mei
Chunhua Shen
Chun-Yen Chen
C. Wang
DiffM
211
21
0
31 May 2023
Direct Diffusion Bridge using Data Consistency for Inverse Problems
Neural Information Processing Systems (NeurIPS), 2023
Hyungjin Chung
Jeongsol Kim
Jong Chul Ye
DiffM
316
72
0
31 May 2023
A Unified Framework for U-Net Design and Analysis
Neural Information Processing Systems (NeurIPS), 2023
Christopher Williams
Fabian Falck
George Deligiannidis
Chris Holmes
Arnaud Doucet
Saifuddin Syed
SSeg
AI4CE
235
62
0
31 May 2023
Likelihood-Based Diffusion Language Models
Neural Information Processing Systems (NeurIPS), 2023
Ishaan Gulrajani
Tatsunori B. Hashimoto
DiffM
232
105
0
30 May 2023
One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models
Neural Information Processing Systems (NeurIPS), 2023
Ba-Hien Tran
Giulio Franzese
Pietro Michiardi
Maurizio Filippone
DiffM
405
4
0
30 May 2023
BRICS: Bi-level feature Representation of Image CollectionS
Dingdong Yang
Yizhi Wang
Ali Mahdavi-Amiri
Hao Zhang
DiffM
179
0
0
29 May 2023
From Zero to Turbulence: Generative Modeling for 3D Flow Simulation
International Conference on Learning Representations (ICLR), 2023
Marten Lienen
David Lüdke
Jan Hansen-Palmus
Stephan Günnemann
DiffM
AI4CE
453
47
0
29 May 2023
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