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
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
821
830
0
02 Nov 2022
MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic
  Model
MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic ModelInternational Conference on Medical Imaging with Deep Learning (MIDL), 2022
Junde Wu
Rao Fu
Huihui Fang
Yu Zhang
Yehui Yang
Haoyi Xiong
Huiying Liu
Yanwu Xu
MedImVLMDiffM
501
376
0
01 Nov 2022
DensePure: Understanding Diffusion Models towards Adversarial Robustness
DensePure: Understanding Diffusion Models towards Adversarial Robustness
Chaowei Xiao
Zhongzhu Chen
Kun Jin
Zhenghao Hu
Weili Nie
Mingyan D. Liu
Anima Anandkumar
Yue Liu
Basel Alomair
DiffM
302
48
0
01 Nov 2022
SSD-LM: Semi-autoregressive Simplex-based Diffusion Language Model for
  Text Generation and Modular Control
SSD-LM: Semi-autoregressive Simplex-based Diffusion Language Model for Text Generation and Modular ControlAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Xiaochuang Han
Sachin Kumar
Yulia Tsvetkov
324
142
0
31 Oct 2022
Guided Conditional Diffusion for Controllable Traffic Simulation
Guided Conditional Diffusion for Controllable Traffic SimulationIEEE International Conference on Robotics and Automation (ICRA), 2022
Ziyuan Zhong
Davis Rempe
Danfei Xu
Yuxiao Chen
Sushant Veer
Tong Che
Baishakhi Ray
Marco Pavone
291
219
0
31 Oct 2022
MagicMix: Semantic Mixing with Diffusion Models
MagicMix: Semantic Mixing with Diffusion Models
Jun Hao Liew
Hanshu Yan
Daquan Zhou
Jiashi Feng
DiffM
369
75
0
28 Oct 2022
Diffiner: A Versatile Diffusion-based Generative Refiner for Speech
  Enhancement
Diffiner: A Versatile Diffusion-based Generative Refiner for Speech EnhancementInterspeech (Interspeech), 2022
Ryosuke Sawata
Naoki Murata
Yuhta Takida
Toshimitsu Uesaka
Takashi Shibuya
Shusuke Takahashi
Yuki Mitsufuji
DiffM
285
22
0
27 Oct 2022
Broken Neural Scaling Laws
Broken Neural Scaling LawsInternational Conference on Learning Representations (ICLR), 2022
Ethan Caballero
Kshitij Gupta
Irina Rish
David M. Krueger
1.1K
99
0
26 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
380
137
0
26 Oct 2022
From Points to Functions: Infinite-dimensional Representations in
  Diffusion Models
From Points to Functions: Infinite-dimensional Representations in Diffusion Models
Sarthak Mittal
Guillaume Lajoie
Stefan Bauer
Arash Mehrjou
DiffM
163
31
0
25 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
370
339
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
291
51
0
23 Oct 2022
Diffusion Motion: Generate Text-Guided 3D Human Motion by Diffusion
  Model
Diffusion Motion: Generate Text-Guided 3D Human Motion by Diffusion ModelIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Zhiyuan Ren
Zhihong Pan
Xingfa Zhou
Le Kang
VGenDiffM
315
51
0
22 Oct 2022
Multitask Brain Tumor Inpainting with Diffusion Models: A Methodological
  Report
Multitask Brain Tumor Inpainting with Diffusion Models: A Methodological Report
Pouria Rouzrokh
Bardia Khosravi
S. Faghani
Mana Moassefi
Sanaz Vahdati
Bradley J. Erickson
DiffMMedIm
250
29
0
21 Oct 2022
Diffusion Visual Counterfactual Explanations
Diffusion Visual Counterfactual ExplanationsNeural Information Processing Systems (NeurIPS), 2022
Maximilian Augustin
Valentyn Boreiko
Francesco Croce
Matthias Hein
DiffMBDL
212
96
0
21 Oct 2022
Diffusion Models already have a Semantic Latent Space
Diffusion Models already have a Semantic Latent SpaceInternational Conference on Learning Representations (ICLR), 2022
Mingi Kwon
Jaeseok Jeong
Youngjung Uh
369
326
0
20 Oct 2022
Differentially Private Diffusion Models
Differentially Private Diffusion Models
Tim Dockhorn
Tianshi Cao
Arash Vahdat
Karsten Kreis
DiffM
478
129
0
18 Oct 2022
Improving Adversarial Robustness by Contrastive Guided Diffusion Process
Improving Adversarial Robustness by Contrastive Guided Diffusion ProcessInternational Conference on Machine Learning (ICML), 2022
Yidong Ouyang
Liyan Xie
Guang Cheng
204
10
0
18 Oct 2022
DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models
DiffuSeq: Sequence to Sequence Text Generation with Diffusion ModelsInternational Conference on Learning Representations (ICLR), 2022
Shansan Gong
Mukai Li
Jiangtao Feng
Zhiyong Wu
Lingpeng Kong
421
455
0
17 Oct 2022
Blind Super-Resolution for Remote Sensing Images via Conditional
  Stochastic Normalizing Flows
Blind Super-Resolution for Remote Sensing Images via Conditional Stochastic Normalizing Flows
Hanlin Wu
Ning Ni
Shan Wang
Li-bao Zhang
139
8
0
14 Oct 2022
TransFusion: Transcribing Speech with Multinomial Diffusion
TransFusion: Transcribing Speech with Multinomial Diffusion
Matthew Baas
Kevin Eloff
Herman Kamper
DiffM
84
6
0
14 Oct 2022
Is synthetic data from generative models ready for image recognition?
Is synthetic data from generative models ready for image recognition?International Conference on Learning Representations (ICLR), 2022
Ruifei He
Shuyang Sun
Xin Yu
Chuhui Xue
Wenqing Zhang
Juil Sock
Song Bai
Xiaojuan Qi
484
376
0
14 Oct 2022
A Generalist Framework for Panoptic Segmentation of Images and Videos
A Generalist Framework for Panoptic Segmentation of Images and VideosIEEE International Conference on Computer Vision (ICCV), 2022
Ting-Li Chen
Lala Li
Saurabh Saxena
Geoffrey E. Hinton
David J. Fleet
VGenMLLM
442
131
0
12 Oct 2022
LION: Latent Point Diffusion Models for 3D Shape Generation
LION: Latent Point Diffusion Models for 3D Shape GenerationNeural Information Processing Systems (NeurIPS), 2022
Fangyin Wei
Arash Vahdat
Francis Williams
Zan Gojcic
Or Litany
Sanja Fidler
Karsten Kreis
DiffM
354
624
0
12 Oct 2022
Leveraging Off-the-shelf Diffusion Model for Multi-attribute Fashion
  Image Manipulation
Leveraging Off-the-shelf Diffusion Model for Multi-attribute Fashion Image ManipulationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Chaerin Kong
D. Jeon
Oh-Hun Kwon
Nojun Kwak
DiffM
161
19
0
12 Oct 2022
A generic diffusion-based approach for 3D human pose prediction in the
  wild
A generic diffusion-based approach for 3D human pose prediction in the wildIEEE International Conference on Robotics and Automation (ICRA), 2022
Saeed Saadatnejad
Ali-Ahmad Rasekh
Mohammadreza Mofayezi
Yasamin Medghalchi
Sara Rajabzadeh
Taylor Mordan
Alexandre Alahi
DiffM
283
45
0
11 Oct 2022
GENIE: Higher-Order Denoising Diffusion Solvers
GENIE: Higher-Order Denoising Diffusion SolversNeural Information Processing Systems (NeurIPS), 2022
Tim Dockhorn
Arash Vahdat
Karsten Kreis
DiffM
331
140
0
11 Oct 2022
f-DM: A Multi-stage Diffusion Model via Progressive Signal
  Transformation
f-DM: A Multi-stage Diffusion Model via Progressive Signal Transformation
Jiatao Gu
Shuangfei Zhai
Yizhe Zhang
Miguel Angel Bautista
J. Susskind
DiffM
221
32
0
10 Oct 2022
Denoising Masked AutoEncoders Help Robust Classification
Denoising Masked AutoEncoders Help Robust ClassificationInternational Conference on Learning Representations (ICLR), 2022
Quanlin Wu
Hang Ye
Yuntian Gu
Huishuai Zhang
Liwei Wang
Di He
418
25
0
10 Oct 2022
CLIP-Diffusion-LM: Apply Diffusion Model on Image Captioning
CLIP-Diffusion-LM: Apply Diffusion Model on Image Captioning
Shi-You Xu
VLMDiffM
203
18
0
10 Oct 2022
Efficient Diffusion Models for Vision: A Survey
Efficient Diffusion Models for Vision: A Survey
Anwaar Ulhaq
Naveed Akhtar
MedIm
418
86
0
07 Oct 2022
On Distillation of Guided Diffusion Models
On Distillation of Guided Diffusion ModelsComputer Vision and Pattern Recognition (CVPR), 2022
Chenlin Meng
Robin Rombach
Ruiqi Gao
Diederik P. Kingma
Stefano Ermon
Jonathan Ho
Tim Salimans
VLMDiffM
255
697
0
06 Oct 2022
Flow Matching for Generative Modeling
Flow Matching for Generative ModelingInternational Conference on Learning Representations (ICLR), 2022
Y. Lipman
Ricky T. Q. Chen
Heli Ben-Hamu
Maximilian Nickel
Matt Le
OOD
1.2K
2,914
0
06 Oct 2022
DALL-E-Bot: Introducing Web-Scale Diffusion Models to Robotics
DALL-E-Bot: Introducing Web-Scale Diffusion Models to RoboticsIEEE Robotics and Automation Letters (RA-L), 2022
Ivan Kapelyukh
Vitalis Vosylius
Edward Johns
LM&RoDiffM
525
176
0
05 Oct 2022
The Vendi Score: A Diversity Evaluation Metric for Machine Learning
The Vendi Score: A Diversity Evaluation Metric for Machine Learning
Dan Friedman
Adji Bousso Dieng
EGVM
379
197
0
05 Oct 2022
clip2latent: Text driven sampling of a pre-trained StyleGAN using
  denoising diffusion and CLIP
clip2latent: Text driven sampling of a pre-trained StyleGAN using denoising diffusion and CLIPBritish Machine Vision Conference (BMVC), 2022
Justin N. M. Pinkney
Chuan Li
CLIPVLM
236
26
0
05 Oct 2022
Imagen Video: High Definition Video Generation with Diffusion Models
Imagen Video: High Definition Video Generation with Diffusion Models
Jonathan Ho
William Chan
Chitwan Saharia
Jay Whang
Ruiqi Gao
...
Diederik P. Kingma
Ben Poole
Mohammad Norouzi
David J. Fleet
Tim Salimans
VGen
441
1,862
0
05 Oct 2022
Progressive Text-to-Image Generation
Progressive Text-to-Image Generation
Zhengcong Fei
Mingyuan Fan
Li Zhu
Junshi Huang
314
4
0
05 Oct 2022
Vision+X: A Survey on Multimodal Learning in the Light of Data
Vision+X: A Survey on Multimodal Learning in the Light of DataIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Ye Zhu
Yuehua Wu
Andrii Zadaianchuk
Yan Yan
361
38
0
05 Oct 2022
Diffusion Models for Graphs Benefit From Discrete State Spaces
Diffusion Models for Graphs Benefit From Discrete State Spaces
K. Haefeli
Karolis Martinkus
Nathanael Perraudin
Roger Wattenhofer
DiffM
405
64
0
04 Oct 2022
Improving Sample Quality of Diffusion Models Using Self-Attention
  Guidance
Improving Sample Quality of Diffusion Models Using Self-Attention GuidanceIEEE International Conference on Computer Vision (ICCV), 2022
Susung Hong
Gyuseong Lee
Wooseok Jang
Seung Wook Kim
DiffM
529
146
0
03 Oct 2022
Towards Multi-spatiotemporal-scale Generalized PDE Modeling
Towards Multi-spatiotemporal-scale Generalized PDE Modeling
Jayesh K. Gupta
Johannes Brandstetter
AI4CE
307
184
0
30 Sep 2022
Protein structure generation via folding diffusion
Protein structure generation via folding diffusionNature Communications (Nat Commun), 2022
Kevin E. Wu
Kevin Kaichuang Yang
Rianne van den Berg
James Zou
Alex X. Lu
Ava P. Amini
DiffM
388
259
0
30 Sep 2022
TabDDPM: Modelling Tabular Data with Diffusion Models
TabDDPM: Modelling Tabular Data with Diffusion ModelsInternational Conference on Machine Learning (ICML), 2022
Akim Kotelnikov
Dmitry Baranchuk
Ivan Rubachev
Artem Babenko
DiffM
251
410
0
30 Sep 2022
Equivariant Energy-Guided SDE for Inverse Molecular Design
Equivariant Energy-Guided SDE for Inverse Molecular DesignInternational Conference on Learning Representations (ICLR), 2022
Fan Bao
Min Zhao
Zhongkai Hao
Pei‐Yun Li
Chongxuan Li
Jun Zhu
DiffM
1.3K
80
0
30 Sep 2022
Diffusion-based Image Translation using Disentangled Style and Content
  Representation
Diffusion-based Image Translation using Disentangled Style and Content RepresentationInternational Conference on Learning Representations (ICLR), 2022
Gihyun Kwon
Jong Chul Ye
DiffM
632
201
0
30 Sep 2022
S2P: State-conditioned Image Synthesis for Data Augmentation in Offline
  Reinforcement Learning
S2P: State-conditioned Image Synthesis for Data Augmentation in Offline Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2022
Daesol Cho
D. Shim
H. J. Kim
OffRL
189
11
0
30 Sep 2022
Low-Dose CT Using Denoising Diffusion Probabilistic Model for 20$\times$
  Speedup
Low-Dose CT Using Denoising Diffusion Probabilistic Model for 20×\times× Speedup
Wenjun Xia
Qing Lyu
Ge Wang
DiffMMedIm
142
6
0
29 Sep 2022
Denoising MCMC for Accelerating Diffusion-Based Generative Models
Denoising MCMC for Accelerating Diffusion-Based Generative ModelsInternational Conference on Machine Learning (ICML), 2022
Beomsu Kim
Jong Chul Ye
DiffM
200
16
0
29 Sep 2022
A Morphology Focused Diffusion Probabilistic Model for Synthesis of
  Histopathology Images
A Morphology Focused Diffusion Probabilistic Model for Synthesis of Histopathology ImagesIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Puria Azadi Moghadam
Sanne Van Dalen
K. C. Martin
J. Lennerz
Stephen S. F. Yip
H. Farahani
A. Bashashati
DiffMMedIm
218
117
0
27 Sep 2022
Previous
123...515253...555657
Next