ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2102.09672
  4. Cited By
Improved Denoising Diffusion Probabilistic Models

Improved Denoising Diffusion Probabilistic Models

International Conference on Machine Learning (ICML), 2021
18 February 2021
Alex Nichol
Prafulla Dhariwal
    DiffM
ArXiv (abs)PDFHTMLHuggingFace (2 upvotes)Github (3560★)

Papers citing "Improved Denoising Diffusion Probabilistic Models"

50 / 2,801 papers shown
Score-based Data Assimilation
Score-based Data AssimilationNeural Information Processing Systems (NeurIPS), 2023
Sacha Lewin
Gilles Louppe
390
67
0
18 Jun 2023
Point-Cloud Completion with Pretrained Text-to-image Diffusion Models
Point-Cloud Completion with Pretrained Text-to-image Diffusion ModelsNeural Information Processing Systems (NeurIPS), 2023
Yoni Kasten
Ohad Rahamim
Gal Chechik
255
38
0
18 Jun 2023
Aligning Synthetic Medical Images with Clinical Knowledge using Human
  Feedback
Aligning Synthetic Medical Images with Clinical Knowledge using Human FeedbackNeural Information Processing Systems (NeurIPS), 2023
Shenghuan Sun
Gregory M. Goldgof
A. Butte
Ahmed Alaa
MedIm
204
18
0
16 Jun 2023
Towards Better Certified Segmentation via Diffusion Models
Towards Better Certified Segmentation via Diffusion ModelsConference on Uncertainty in Artificial Intelligence (UAI), 2023
Othmane Laousy
Alexandre Araujo
G. Chassagnon
M. Revel
S. Garg
Farshad Khorrami
Maria Vakalopoulou
DiffM
257
3
0
16 Jun 2023
The Big Data Myth: Using Diffusion Models for Dataset Generation to
  Train Deep Detection Models
The Big Data Myth: Using Diffusion Models for Dataset Generation to Train Deep Detection Models
Roy Voetman
Maya Aghaei
K. Dijkstra
DiffM
191
15
0
16 Jun 2023
CLIPSonic: Text-to-Audio Synthesis with Unlabeled Videos and Pretrained
  Language-Vision Models
CLIPSonic: Text-to-Audio Synthesis with Unlabeled Videos and Pretrained Language-Vision ModelsIEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2023
Hao-Wen Dong
Xiaoyu Liu
Jordi Pons
Gautam Bhattacharya
Santiago Pascual
Joan Serrà
Taylor Berg-Kirkpatrick
Julian McAuley
DiffM
230
25
0
16 Jun 2023
R2-Diff: Denoising by diffusion as a refinement of retrieved motion for
  image-based motion prediction
R2-Diff: Denoising by diffusion as a refinement of retrieved motion for image-based motion predictionNeurocomputing (Neurocomputing), 2023
Takeru Oba
Norimichi Ukita
DiffM
244
3
0
15 Jun 2023
Evaluating Data Attribution for Text-to-Image Models
Evaluating Data Attribution for Text-to-Image ModelsIEEE International Conference on Computer Vision (ICCV), 2023
Sheng-Yu Wang
Alexei A. Efros
Jun-Yan Zhu
Richard Y. Zhang
TDI
292
44
0
15 Jun 2023
Generative Proxemics: A Prior for 3D Social Interaction from Images
Generative Proxemics: A Prior for 3D Social Interaction from ImagesComputer Vision and Pattern Recognition (CVPR), 2023
Lea Müller
Vickie Ye
Georgios Pavlakos
Michael J. Black
Angjoo Kanazawa
DiffM
218
41
0
15 Jun 2023
ArtFusion: Controllable Arbitrary Style Transfer using Dual Conditional
  Latent Diffusion Models
ArtFusion: Controllable Arbitrary Style Transfer using Dual Conditional Latent Diffusion Models
Da Chen
DiffM
211
6
0
15 Jun 2023
DreamHuman: Animatable 3D Avatars from Text
DreamHuman: Animatable 3D Avatars from TextNeural Information Processing Systems (NeurIPS), 2023
Nikos Kolotouros
Thiemo Alldieck
Andrei Zanfir
Eduard Gabriel Bazavan
Mihai Fieraru
C. Sminchisescu
240
117
0
15 Jun 2023
Conditional Human Sketch Synthesis with Explicit Abstraction Control
Conditional Human Sketch Synthesis with Explicit Abstraction Control
Da Chen
DiffM
124
1
0
15 Jun 2023
Towards Faster Non-Asymptotic Convergence for Diffusion-Based Generative
  Models
Towards Faster Non-Asymptotic Convergence for Diffusion-Based Generative Models
Gen Li
Yuting Wei
Yuxin Chen
Yuejie Chi
DiffM
344
81
0
15 Jun 2023
DiffAug: A Diffuse-and-Denoise Augmentation for Training Robust
  Classifiers
DiffAug: A Diffuse-and-Denoise Augmentation for Training Robust ClassifiersNeural Information Processing Systems (NeurIPS), 2023
Chandramouli Shama Sastry
Sri Harsha Dumpala
Sageev Oore
272
3
0
15 Jun 2023
Annotator Consensus Prediction for Medical Image Segmentation with
  Diffusion Models
Annotator Consensus Prediction for Medical Image Segmentation with Diffusion ModelsInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
Tomer Amit
Shmuel Shichrur
Tal Shaharabany
Lior Wolf
MedImDiffM
198
16
0
15 Jun 2023
Exploring Multi-Timestep Multi-Stage Diffusion Features for
  Hyperspectral Image Classification
Exploring Multi-Timestep Multi-Stage Diffusion Features for Hyperspectral Image ClassificationIEEE Transactions on Geoscience and Remote Sensing (TGRS), 2023
Jingyi Zhou
Jiamu Sheng
Jiayuan Fan
Peng Ye
Tongdi He
Sijin Yu
Tao Chen
DiffM
188
30
0
15 Jun 2023
OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic
  Models
OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic ModelsInternational Conference on Machine Learning (ICML), 2023
En-hao Liu
Xuefei Ning
Zinan Lin
Huazhong Yang
Yu Wang
243
50
0
15 Jun 2023
Deep Generative Models for Decision-Making and Control
Deep Generative Models for Decision-Making and Control
Michael Janner
295
3
0
15 Jun 2023
Diffusion in Diffusion: Cyclic One-Way Diffusion for
  Text-Vision-Conditioned Generation
Diffusion in Diffusion: Cyclic One-Way Diffusion for Text-Vision-Conditioned GenerationInternational Conference on Learning Representations (ICLR), 2023
Ruoyu Wang
Yongqi Yang
Zhihao Qian
Ye Zhu
Yuehua Wu
DiffM
473
15
0
14 Jun 2023
Viewset Diffusion: (0-)Image-Conditioned 3D Generative Models from 2D
  Data
Viewset Diffusion: (0-)Image-Conditioned 3D Generative Models from 2D DataIEEE International Conference on Computer Vision (ICCV), 2023
Stanislaw Szymanowicz
Christian Rupprecht
Andrea Vedaldi
280
126
0
13 Jun 2023
Paste, Inpaint and Harmonize via Denoising: Subject-Driven Image Editing
  with Pre-Trained Diffusion Model
Paste, Inpaint and Harmonize via Denoising: Subject-Driven Image Editing with Pre-Trained Diffusion Model
Xinyu Zhang
Jiaxian Guo
Paul D. Yoo
Yutaka Matsuo
Yusuke Iwasawa
DiffM
246
26
0
13 Jun 2023
Scalable 3D Captioning with Pretrained Models
Scalable 3D Captioning with Pretrained ModelsNeural Information Processing Systems (NeurIPS), 2023
Tiange Luo
C. Rockwell
Honglak Lee
Justin Johnson
311
213
0
12 Jun 2023
Fill-Up: Balancing Long-Tailed Data with Generative Models
Fill-Up: Balancing Long-Tailed Data with Generative Models
Joonghyuk Shin
Minguk Kang
Jaesik Park
301
41
0
12 Jun 2023
Fast Diffusion Model
Fast Diffusion Model
Zike Wu
Pan Zhou
Kenji Kawaguchi
Hanwang Zhang
DiffM
339
27
0
12 Jun 2023
On Kinetic Optimal Probability Paths for Generative Models
On Kinetic Optimal Probability Paths for Generative ModelsInternational 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
Vista-Morph: Unsupervised Image Registration of Visible-Thermal Facial
  Pairs
Vista-Morph: Unsupervised Image Registration of Visible-Thermal Facial Pairs
Catherine Ordun
Edward Raff
S. Purushotham
131
1
0
10 Jun 2023
Language-Guided Traffic Simulation via Scene-Level Diffusion
Language-Guided Traffic Simulation via Scene-Level DiffusionConference on Robot Learning (CoRL), 2023
Ziyuan Zhong
Davis Rempe
Yuxiao Chen
Boris Ivanovic
Yulong Cao
Danfei Xu
Marco Pavone
Baishakhi Ray
DiffM
193
128
0
10 Jun 2023
Boosting GUI Prototyping with Diffusion Models
Boosting GUI Prototyping with Diffusion ModelsIEEE International Requirements Engineering Conference (RE), 2023
Jialiang Wei
A. Courbis
Thomas Lambolais
Binbin Xu
P. Bernard
Gérard Dray
DiffM
170
25
0
09 Jun 2023
RePaint-NeRF: NeRF Editting via Semantic Masks and Diffusion Models
RePaint-NeRF: NeRF Editting via Semantic Masks and Diffusion ModelsInternational Joint Conference on Artificial Intelligence (IJCAI), 2023
Xing-Chun Zhou
Ying He
F. Richard Yu
Jianqiang Li
You Li
DiffM
143
24
0
09 Jun 2023
BOOT: Data-free Distillation of Denoising Diffusion Models with
  Bootstrapping
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
Grounded Text-to-Image Synthesis with Attention Refocusing
Grounded Text-to-Image Synthesis with Attention RefocusingComputer Vision and Pattern Recognition (CVPR), 2023
Quynh Phung
Songwei Ge
Jia-Bin Huang
DiffM
390
157
0
08 Jun 2023
Improving Tuning-Free Real Image Editing with Proximal Guidance
Improving Tuning-Free Real Image Editing with Proximal GuidanceIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Ligong Han
Song Wen
Qi Chen
Zhixing Zhang
Kunpeng Song
...
Qilong Zhangli
Jindong Jiang
Zhaoyang Xia
Akash Srivastava
Dimitris N. Metaxas
DiffM
330
83
0
08 Jun 2023
SyncDiffusion: Coherent Montage via Synchronized Joint Diffusions
SyncDiffusion: Coherent Montage via Synchronized Joint DiffusionsNeural Information Processing Systems (NeurIPS), 2023
Yuseung Lee
Kunho Kim
Hyunjin Kim
Minhyuk Sung
DiffM
382
89
0
08 Jun 2023
Towards Understanding the Interplay of Generative Artificial
  Intelligence and the Internet
Towards Understanding the Interplay of Generative Artificial Intelligence and the Internet
Gonzalo Martínez
Lauren Watson
Pedro Reviriego
José Alberto Hernández
Marc Juárez
Rik Sarkar
175
69
0
08 Jun 2023
Instructed Diffuser with Temporal Condition Guidance for Offline
  Reinforcement Learning
Instructed Diffuser with Temporal Condition Guidance for Offline Reinforcement Learning
Jifeng Hu
Yan Sun
Sili Huang
Siyuan Guo
Hechang Chen
Li Shen
Lichao Sun
Yi-Ju Chang
Dacheng Tao
DiffMOffRL
218
15
0
08 Jun 2023
Complexity-aware Large Scale Origin-Destination Network Generation via
  Diffusion Model
Complexity-aware Large Scale Origin-Destination Network Generation via Diffusion Model
Can Rong
Jingtao Ding
Zhicheng Liu
Yong Li
DiffM
302
12
0
08 Jun 2023
Interpreting and Improving Diffusion Models from an Optimization
  Perspective
Interpreting and Improving Diffusion Models from an Optimization PerspectiveInternational Conference on Machine Learning (ICML), 2023
Frank Permenter
Chenyang Yuan
DiffM
334
11
0
08 Jun 2023
Entropy-based Training Methods for Scalable Neural Implicit Sampler
Entropy-based Training Methods for Scalable Neural Implicit SamplerNeural Information Processing Systems (NeurIPS), 2023
Weijian Luo
Boya Zhang
Zhihua Zhang
301
13
0
08 Jun 2023
Exposing flaws of generative model evaluation metrics and their unfair
  treatment of diffusion models
Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion modelsNeural Information Processing Systems (NeurIPS), 2023
G. Stein
Jesse C. Cresswell
Rasa Hosseinzadeh
Yi Sui
Brendan Leigh Ross
Valentin Villecroze
Zhaoyan Liu
M. Volkovs
J. E. T. Taylor
Gabriel Loaiza-Ganem
EGVM
476
161
0
07 Jun 2023
GeoDiffusion: Text-Prompted Geometric Control for Object Detection Data
  Generation
GeoDiffusion: Text-Prompted Geometric Control for Object Detection Data GenerationInternational Conference on Learning Representations (ICLR), 2023
Kai Chen
Enze Xie
Zhe Chen
Yibo Wang
Lanqing Hong
Zhenguo Li
Dit-Yan Yeung
DiffM
249
46
0
07 Jun 2023
Synthesizing realistic sand assemblies with denoising diffusion in
  latent space
Synthesizing realistic sand assemblies with denoising diffusion in latent space
Nikolaos N. Vlassis
WaiChing Sun
K. Alshibli
R. Regueiro
DiffM
181
12
0
07 Jun 2023
Phoenix: A Federated Generative Diffusion Model
Phoenix: A Federated Generative Diffusion ModelThe Web Conference (WWW), 2023
Fiona Victoria Stanley Jothiraj
A. Mashhadi
DiffM
266
28
0
07 Jun 2023
Generative Semantic Communication: Diffusion Models Beyond Bit Recovery
Generative Semantic Communication: Diffusion Models Beyond Bit Recovery
Eleonora Grassucci
Sergio Barbarossa
Danilo Comminiello
DiffM
278
88
0
07 Jun 2023
On the Design Fundamentals of Diffusion Models: A Survey
On the Design Fundamentals of Diffusion Models: A SurveyPattern Recognition (Pattern Recogn.), 2023
Ziyi Chang
George Alex Koulieris
Hyung Jin Chang
Hubert P. H. Shum
DiffM
634
80
0
07 Jun 2023
Intellectual Property Protection of Diffusion Models via the Watermark
  Diffusion Process
Intellectual Property Protection of Diffusion Models via the Watermark Diffusion ProcessWISE (WISE), 2023
Sen Peng
Yufei Chen
Cong Wang
Xiaohua Jia
WIGM
212
16
0
06 Jun 2023
MotionDiffuser: Controllable Multi-Agent Motion Prediction using
  Diffusion
MotionDiffuser: Controllable Multi-Agent Motion Prediction using DiffusionComputer Vision and Pattern Recognition (CVPR), 2023
C. Jiang
Andre Cornman
C. Park
Benjamin Sapp
Yin Zhou
Drago Anguelov
DiffM
271
223
0
05 Jun 2023
Brain tumor segmentation using synthetic MR images -- A comparison of
  GANs and diffusion models
Brain tumor segmentation using synthetic MR images -- A comparison of GANs and diffusion modelsScientific Data (Sci Data), 2023
Muhammad Usman Akbar
Måns Larsson
Anders Eklund
DiffMMedIm
220
53
0
05 Jun 2023
Faster Training of Diffusion Models and Improved Density Estimation via
  Parallel Score Matching
Faster Training of Diffusion Models and Improved Density Estimation via Parallel Score Matching
Etrit Haxholli
Marco Lorenzi
DiffM
74
3
0
05 Jun 2023
SwinRDM: Integrate SwinRNN with Diffusion Model towards High-Resolution
  and High-Quality Weather Forecasting
SwinRDM: Integrate SwinRNN with Diffusion Model towards High-Resolution and High-Quality Weather ForecastingAAAI Conference on Artificial Intelligence (AAAI), 2023
Lei Chen
Fei Du
Yuan Hu
Fanhai Wang
Zhibin Wang
DiffM
166
65
0
05 Jun 2023
Video Diffusion Models with Local-Global Context Guidance
Video Diffusion Models with Local-Global Context GuidanceInternational Joint Conference on Artificial Intelligence (IJCAI), 2023
Si-hang Yang
Lu Zhang
Yu Liu
Zhizhuo Jiang
You He
VGenDiffM
137
18
0
05 Jun 2023
Previous
123...414243...555657
Next