Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2102.09672
Cited By
Improved Denoising Diffusion Probabilistic Models
International Conference on Machine Learning (ICML), 2021
18 February 2021
Alex Nichol
Prafulla Dhariwal
DiffM
Re-assign community
ArXiv (abs)
PDF
HTML
HuggingFace (2 upvotes)
Github (3560★)
Papers citing
"Improved Denoising Diffusion Probabilistic Models"
50 / 2,801 papers shown
Fast Sampling of Diffusion Models with Exponential Integrator
International Conference on Learning Representations (ICLR), 2022
Qinsheng Zhang
Yongxin Chen
DiffM
328
531
0
29 Apr 2022
A Survey on Non-Autoregressive Generation for Neural Machine Translation and Beyond
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Yisheng Xiao
Lijun Wu
Junliang Guo
Juntao Li
Hao Fei
Tao Qin
Tie-Yan Liu
3DV
MedIm
AI4CE
255
112
0
20 Apr 2022
Simultaneous Multiple-Prompt Guided Generation Using Differentiable Optimal Transport
International Conference on Innovative Computing and Cloud Computing (ICCC), 2022
Yingtao Tian
Marco Cuturi
David R Ha
DiffM
OT
128
1
0
18 Apr 2022
Any-resolution Training for High-resolution Image Synthesis
European Conference on Computer Vision (ECCV), 2022
Lucy Chai
Michael Gharbi
Eli Shechtman
Phillip Isola
Richard Y. Zhang
229
83
0
14 Apr 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents
Aditya A. Ramesh
Prafulla Dhariwal
Alex Nichol
Casey Chu
Mark Chen
VLM
DiffM
1.1K
8,283
0
13 Apr 2022
Video Diffusion Models
Neural Information Processing Systems (NeurIPS), 2022
Jonathan Ho
Tim Salimans
Alexey A. Gritsenko
William Chan
Mohammad Norouzi
David J. Fleet
DiffM
VGen
833
2,206
0
07 Apr 2022
The Swiss Army Knife for Image-to-Image Translation: Multi-Task Diffusion Models
J. Wolleb
Robin Sandkühler
Florentin Bieder
Philippe C. Cattin
MedIm
DiffM
186
36
0
06 Apr 2022
Perception Prioritized Training of Diffusion Models
Computer Vision and Pattern Recognition (CVPR), 2022
Jooyoung Choi
Jungbeom Lee
Chaehun Shin
Sungwon Kim
Hyunwoo J. Kim
Sung-Hoon Yoon
DiffM
287
325
0
01 Apr 2022
Generating High Fidelity Data from Low-density Regions using Diffusion Models
Computer Vision and Pattern Recognition (CVPR), 2022
Vikash Sehwag
C. Hazirbas
Albert Gordo
Firat Ozgenel
Cristian Canton Ferrer
DiffM
281
82
0
31 Mar 2022
Equivariant Diffusion for Molecule Generation in 3D
International Conference on Machine Learning (ICML), 2022
Emiel Hoogeboom
Victor Garcia Satorras
Clément Vignac
Max Welling
DiffM
428
775
0
31 Mar 2022
Diffusion Models for Counterfactual Explanations
Asian Conference on Computer Vision (ACCV), 2022
Guillaume Jeanneret
Loïc Simon
F. Jurie
DiffM
358
74
0
29 Mar 2022
Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion
Computer Vision and Pattern Recognition (CVPR), 2022
Tianpei Gu
Guangyi Chen
Junlong Li
Chunze Lin
Yongming Rao
Jie Zhou
Jiwen Lu
DiffM
VGen
798
320
0
25 Mar 2022
Efficient-VDVAE: Less is more
Louay Hazami
Rayhane Mama
Ragavan Thurairatnam
BDL
230
29
0
25 Mar 2022
BDDM: Bilateral Denoising Diffusion Models for Fast and High-Quality Speech Synthesis
International Conference on Learning Representations (ICLR), 2022
Max W. Y. Lam
Jun Wang
Jane Polak Scowcroft
Dong Yu
DiffM
222
103
0
25 Mar 2022
Image Super-Resolution With Deep Variational Autoencoders
Darius Chira
Ilian Haralampiev
Ole Winther
Andrea Dittadi
Valentin Liévin
DRL
214
41
0
17 Mar 2022
Diffusion Probabilistic Modeling for Video Generation
Ruihan Yang
Prakhar Srivastava
Stephan Mandt
DiffM
VGen
592
313
0
16 Mar 2022
Diffusion Models for Medical Anomaly Detection
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
J. Wolleb
Florentin Bieder
Robin Sandkühler
Philippe C. Cattin
MedIm
DiffM
255
360
0
08 Mar 2022
Dynamic Dual-Output Diffusion Models
Computer Vision and Pattern Recognition (CVPR), 2022
Yaniv Benny
Lior Wolf
DiffM
226
32
0
08 Mar 2022
Towards performant and reliable undersampled MR reconstruction via diffusion model sampling
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
Cheng-Fang Peng
Pengfei Guo
S. Kevin Zhou
Vishal M. Patel
Ramalingam Chellappa
MedIm
DiffM
199
113
0
08 Mar 2022
Measurement-conditioned Denoising Diffusion Probabilistic Model for Under-sampled Medical Image Reconstruction
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
Yutong Xie
Shijie Zhao
DiffM
MedIm
229
119
0
05 Mar 2022
Polarity Sampling: Quality and Diversity Control of Pre-Trained Generative Networks via Singular Values
Computer Vision and Pattern Recognition (CVPR), 2022
Ahmed Imtiaz Humayun
Randall Balestriero
Richard Baraniuk
296
32
0
03 Mar 2022
Generative Adversarial Networks
International Conference on Computing Communication and Networking Technologies (ICCCNT), 2021
Gilad Cohen
Raja Giryes
GAN
816
30,409
0
01 Mar 2022
Diffusion Causal Models for Counterfactual Estimation
CLEaR (CLEaR), 2022
Pedro Sanchez
Sotirios A. Tsaftaris
DiffM
BDL
296
97
0
21 Feb 2022
Pseudo Numerical Methods for Diffusion Models on Manifolds
International Conference on Learning Representations (ICLR), 2022
Luping Liu
Yi Ren
Zhijie Lin
Zhou Zhao
DiffM
525
800
0
20 Feb 2022
Truncated Diffusion Probabilistic Models and Diffusion-based Adversarial Auto-Encoders
International Conference on Learning Representations (ICLR), 2022
Huangjie Zheng
Pengcheng He
Weizhu Chen
Mingyuan Zhou
DiffM
279
55
0
19 Feb 2022
Molecule Generation for Drug Design: a Graph Learning Perspective
Fundamental Research (FR), 2022
Nianzu Yang
Huaijin Wu
Xiaoyong Pan
Ye Yuan
Junchi Yan
347
31
0
18 Feb 2022
Understanding DDPM Latent Codes Through Optimal Transport
International Conference on Learning Representations (ICLR), 2022
Valentin Khrulkov
Gleb Ryzhakov
Andrei Chertkov
Ivan Oseledets
OT
DiffM
239
58
0
14 Feb 2022
Learning Fast Samplers for Diffusion Models by Differentiating Through Sample Quality
International Conference on Learning Representations (ICLR), 2022
Daniel Watson
William Chan
Jonathan Ho
Mohammad Norouzi
DiffM
BDL
322
213
0
11 Feb 2022
D4: Detection of Adversarial Diffusion Deepfakes Using Disjoint Ensembles
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Ashish Hooda
Neal Mangaokar
Ryan Feng
Kassem Fawaz
S. Jha
Atul Prakash
288
15
0
11 Feb 2022
Conditional Diffusion Probabilistic Model for Speech Enhancement
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Yen-Ju Lu
Zhongqiu Wang
Shinji Watanabe
Alexander Richard
Cheng Yu
Yu Tsao
DiffM
219
257
0
10 Feb 2022
MaskGIT: Masked Generative Image Transformer
Computer Vision and Pattern Recognition (CVPR), 2022
Huiwen Chang
Han Zhang
Lu Jiang
Ce Liu
William T. Freeman
ViT
593
954
0
08 Feb 2022
Riemannian Score-Based Generative Modelling
Neural Information Processing Systems (NeurIPS), 2022
Valentin De Bortoli
Emile Mathieu
M. Hutchinson
James Thornton
Yee Whye Teh
Arnaud Doucet
DiffM
590
215
0
06 Feb 2022
StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets
International Conference on Computer Graphics and Interactive Techniques (SIGGRAPH), 2022
Axel Sauer
Katja Schwarz
Andreas Geiger
1.0K
620
0
01 Feb 2022
Denoising Diffusion Restoration Models
Neural Information Processing Systems (NeurIPS), 2022
Bahjat Kawar
Michael Elad
Stefano Ermon
Jiaming Song
DiffM
1.0K
1,090
0
27 Jan 2022
RePaint: Inpainting using Denoising Diffusion Probabilistic Models
Computer Vision and Pattern Recognition (CVPR), 2022
Andreas Lugmayr
Martin Danelljan
Andrés Romero
Feng Yu
Radu Timofte
Luc Van Gool
DiffM
957
1,850
0
24 Jan 2022
Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models
International Conference on Learning Representations (ICLR), 2022
Fan Bao
Chongxuan Li
Jun Zhu
Bo Zhang
DiffM
352
389
0
17 Jan 2022
DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents
Kushagra Pandey
Avideep Mukherjee
Piyush Rai
Abhishek Kumar
DiffM
551
141
0
02 Jan 2022
Quasi-Taylor Samplers for Diffusion Generative Models based on Ideal Derivatives
Hideyuki Tachibana
Mocho Go
Muneyoshi Inahara
Yotaro Katayama
Yotaro Watanabe
DiffM
297
4
0
26 Dec 2021
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models
International Conference on Machine Learning (ICML), 2021
Alex Nichol
Prafulla Dhariwal
Aditya A. Ramesh
Pranav Shyam
Pamela Mishkin
Bob McGrew
Ilya Sutskever
Mark Chen
992
4,372
0
20 Dec 2021
High Fidelity Visualization of What Your Self-Supervised Representation Knows About
Florian Bordes
Randall Balestriero
Pascal Vincent
DiffM
260
71
0
16 Dec 2021
Forensic Analysis of Synthetically Generated Western Blot Images
S. Mandelli
D. Cozzolino
E. D. Cannas
J. P. Cardenuto
Daniel Moreira
...
Walter J. Scheirer
Anderson de Rezende Rocha
L. Verdoliva
Stefano Tubaro
Edward J. Delp
224
25
0
16 Dec 2021
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs
Zhisheng Xiao
Karsten Kreis
Arash Vahdat
DiffM
419
669
0
15 Dec 2021
Score-Based Generative Modeling with Critically-Damped Langevin Diffusion
Tim Dockhorn
Arash Vahdat
Karsten Kreis
DiffM
675
268
0
14 Dec 2021
Step-unrolled Denoising Autoencoders for Text Generation
Nikolay Savinov
Junyoung Chung
Mikolaj Binkowski
Erich Elsen
Aaron van den Oord
DiffM
342
129
0
13 Dec 2021
DiffuseMorph: Unsupervised Deformable Image Registration Using Diffusion Model
Boah Kim
Inhwa Han
Jong Chul Ye
MedIm
DiffM
140
89
0
09 Dec 2021
Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems through Stochastic Contraction
Hyungjin Chung
Byeongsu Sim
Jong Chul Ye
MedIm
DiffM
490
421
0
09 Dec 2021
A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud Completion
Zhaoyang Lyu
Zhifeng Kong
Xudong Xu
Liang Pan
Dahua Lin
DiffM
BDL
601
150
0
07 Dec 2021
Diffusion Models for Implicit Image Segmentation Ensembles
International Conference on Medical Imaging with Deep Learning (MIDL), 2021
J. Wolleb
Robin Sandkühler
Florentin Bieder
Philippe Valmaggia
Philippe C. Cattin
DiffM
MedIm
VLM
450
361
0
06 Dec 2021
Label-Efficient Semantic Segmentation with Diffusion Models
International Conference on Learning Representations (ICLR), 2021
Dmitry Baranchuk
Ivan Rubachev
A. Voynov
Valentin Khrulkov
Artem Babenko
DiffM
VLM
631
659
0
06 Dec 2021
Global Context with Discrete Diffusion in Vector Quantised Modelling for Image Generation
Minghui Hu
Yujie Wang
Tat-Jen Cham
Jianfei Yang
P.N.Suganthan
DiffM
159
52
0
03 Dec 2021
Previous
1
2
3
...
54
55
56
57
Next
