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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 / 2,803 papers shown
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
169
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
The Surprising Effectiveness of Diffusion Models for Optical Flow and
  Monocular Depth Estimation
The Surprising Effectiveness of Diffusion Models for Optical Flow and Monocular Depth EstimationNeural Information Processing Systems (NeurIPS), 2023
Saurabh Saxena
Charles Herrmann
Junhwa Hur
Abhishek Kar
Mohammad Norouzi
Deqing Sun
David J. Fleet
DiffM
378
124
0
02 Jun 2023
Unlearnable Examples for Diffusion Models: Protect Data from
  Unauthorized Exploitation
Unlearnable Examples for Diffusion Models: Protect Data from Unauthorized Exploitation
Zhengyue Zhao
Jinhao Duan
Xingui Hu
Kaidi Xu
Chenan Wang
Rui Zhang
Zidong Du
Qi Guo
Yunji Chen
DiffMWIGM
297
35
0
02 Jun 2023
Conditional Generation from Unconditional Diffusion Models using
  Denoiser Representations
Conditional Generation from Unconditional Diffusion Models using Denoiser Representations
Alexandros Graikos
Srikar Yellapragada
Dimitris Samaras
DiffMAI4CE
191
7
0
02 Jun 2023
Denoising Diffusion Semantic Segmentation with Mask Prior Modeling
Denoising Diffusion Semantic Segmentation with Mask Prior Modeling
Zeqiang Lai
Yuchen Duan
Jifeng Dai
Ziheng Li
Ying Fu
Jiaming Song
Yu Qiao
Wen Wang
DiffM
205
24
0
02 Jun 2023
PolyDiffuse: Polygonal Shape Reconstruction via Guided Set Diffusion
  Models
PolyDiffuse: Polygonal Shape Reconstruction via Guided Set Diffusion ModelsNeural Information Processing Systems (NeurIPS), 2023
Jiacheng Chen
Ruizhi Deng
Yasutaka Furukawa
DiffM
294
36
0
02 Jun 2023
Extracting Reward Functions from Diffusion Models
Extracting Reward Functions from Diffusion ModelsNeural Information Processing Systems (NeurIPS), 2023
Felipe Nuti
Tim Franzmeyer
João F. Henriques
219
19
0
01 Jun 2023
Intelligent Grimm -- Open-ended Visual Storytelling via Latent Diffusion
  Models
Intelligent Grimm -- Open-ended Visual Storytelling via Latent Diffusion ModelsComputer Vision and Pattern Recognition (CVPR), 2023
Chang-rui Liu
Haoning Wu
Yujie Zhong
Xiaoyu Zhang
Yanfeng Wang
Weidi Xie
DiffMVLM
296
67
0
01 Jun 2023
Differential Diffusion: Giving Each Pixel Its Strength
Differential Diffusion: Giving Each Pixel Its Strength
E. Levin
Ohad Fried
DiffM
247
29
0
01 Jun 2023
UnDiff: Unsupervised Voice Restoration with Unconditional Diffusion
  Model
UnDiff: Unsupervised Voice Restoration with Unconditional Diffusion ModelInterspeech (Interspeech), 2023
A. Iashchenko
Pavel Andreev
Ivan Shchekotov
Nicholas Babaev
Dmitry Vetrov
DiffM
348
6
0
01 Jun 2023
Dissecting Arbitrary-scale Super-resolution Capability from Pre-trained
  Diffusion Generative Models
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
223
15
0
01 Jun 2023
Wuerstchen: An Efficient Architecture for Large-Scale Text-to-Image
  Diffusion Models
Wuerstchen: An Efficient Architecture for Large-Scale Text-to-Image Diffusion Models
Pablo Pernias
Dominic Rampas
Mats L. Richter
Christopher Pal
Marc Aubreville
DiffMVLM
287
49
0
01 Jun 2023
Image generation with shortest path diffusion
Image generation with shortest path diffusionInternational Conference on Machine Learning (ICML), 2023
Ayan Das
Stathi Fotiadis
Anil Batra
F. Nabiei
FengTing Liao
Sattar Vakili
Da-shan Shiu
A. Bernacchia
180
12
0
01 Jun 2023
Addressing Negative Transfer in Diffusion Models
Addressing Negative Transfer in Diffusion ModelsNeural Information Processing Systems (NeurIPS), 2023
Hyojun Go
Jinyoung Kim
Yunsung Lee
Seunghyun Lee
Shinhyeok Oh
Hyeongdon Moon
Seungtaek Choi
DiffMVLM
590
31
0
01 Jun 2023
Efficient Diffusion Policies for Offline Reinforcement Learning
Efficient Diffusion Policies for Offline Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2023
Bingyi Kang
Xiao Ma
Chao Du
Tianyu Pang
Shuicheng Yan
OffRL
393
117
0
31 May 2023
Tree-Ring Watermarks: Fingerprints for Diffusion Images that are
  Invisible and Robust
Tree-Ring Watermarks: Fingerprints for Diffusion Images that are Invisible and Robust
Yuxin Wen
John Kirchenbauer
Jonas Geiping
Tom Goldstein
WIGM
542
163
0
31 May 2023
Protein Design with Guided Discrete Diffusion
Protein Design with Guided Discrete DiffusionNeural Information Processing Systems (NeurIPS), 2023
Nate Gruver
Samuel Stanton
Nathan C. Frey
Tim G. J. Rudner
I. Hotzel
J. Lafrance-Vanasse
A. Rajpal
Kyunghyun Cho
A. Wilson
DiffM
493
179
0
31 May 2023
MetaDiffuser: Diffusion Model as Conditional Planner for Offline Meta-RL
MetaDiffuser: Diffusion Model as Conditional Planner for Offline Meta-RLInternational Conference on Machine Learning (ICML), 2023
Fei Ni
Jianye Hao
Yao Mu
Yifu Yuan
Yan Zheng
Sijin Yu
Zhixuan Liang
DiffMOffRL
243
70
0
31 May 2023
A Unified Framework for U-Net Design and Analysis
A Unified Framework for U-Net Design and AnalysisNeural Information Processing Systems (NeurIPS), 2023
Christopher Williams
Fabian Falck
George Deligiannidis
Chris Holmes
Arnaud Doucet
Saifuddin Syed
SSegAI4CE
235
62
0
31 May 2023
Improving Handwritten OCR with Training Samples Generated by Glyph
  Conditional Denoising Diffusion Probabilistic Model
Improving Handwritten OCR with Training Samples Generated by Glyph Conditional Denoising Diffusion Probabilistic ModelIEEE International Conference on Document Analysis and Recognition (ICDAR), 2023
Haisong Ding
Bozhi Luan
Dongnan Gui
Kai Chen
Qiang Huo
DiffM
218
12
0
31 May 2023
Synthetic CT Generation from MRI using 3D Transformer-based Denoising
  Diffusion Model
Synthetic CT Generation from MRI using 3D Transformer-based Denoising Diffusion ModelMedical Physics (Lancaster) (Med. Phys.), 2023
Shaoyan Pan
E. Abouei
Jacob F. Wynne
Tonghe Wang
Richard L. J. Qiu
...
J. Roper
P. Patel
D. Yu
H. Mao
Xiaofeng Yang
DiffMMedIm
159
109
0
31 May 2023
Video ControlNet: Towards Temporally Consistent Synthetic-to-Real Video
  Translation Using Conditional Image Diffusion Models
Video ControlNet: Towards Temporally Consistent Synthetic-to-Real Video Translation Using Conditional Image Diffusion Models
Ernie Chu
Shuohao Lin
Jun-Cheng Chen
DiffM
178
24
0
30 May 2023
Unsupervised Statistical Feature-Guided Diffusion Model for Sensor-based
  Human Activity Recognition
Unsupervised Statistical Feature-Guided Diffusion Model for Sensor-based Human Activity Recognition
Si Zuo
Vitor Fortes Rey
Sungho Suh
S. Sigg
P. Lukowicz
DiffM
261
5
0
30 May 2023
Diffusion Model for Dense Matching
Diffusion Model for Dense MatchingInternational Conference on Learning Representations (ICLR), 2023
Jisu Nam
Gyuseong Lee
Sunwoo Kim
Ines Hyeonsu Kim
Hyoungwon Cho
Seyeong Kim
Seung Wook Kim
DiffM
272
22
0
30 May 2023
Nested Diffusion Processes for Anytime Image Generation
Nested Diffusion Processes for Anytime Image GenerationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Noam Elata
Bahjat Kawar
T. Michaeli
Michael Elad
DiffM
262
7
0
30 May 2023
One-Line-of-Code Data Mollification Improves Optimization of
  Likelihood-based Generative Models
One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative ModelsNeural Information Processing Systems (NeurIPS), 2023
Ba-Hien Tran
Giulio Franzese
Pietro Michiardi
Maurizio Filippone
DiffM
409
4
0
30 May 2023
BRICS: Bi-level feature Representation of Image CollectionS
BRICS: Bi-level feature Representation of Image CollectionS
Dingdong Yang
Yizhi Wang
Ali Mahdavi-Amiri
Hao Zhang
DiffM
193
0
0
29 May 2023
From Zero to Turbulence: Generative Modeling for 3D Flow Simulation
From Zero to Turbulence: Generative Modeling for 3D Flow SimulationInternational Conference on Learning Representations (ICLR), 2023
Marten Lienen
David Lüdke
Jan Hansen-Palmus
Stephan Günnemann
DiffMAI4CE
456
50
0
29 May 2023
Multi-Modal Face Stylization with a Generative Prior
Multi-Modal Face Stylization with a Generative Prior
Mengtian Li
Yi Dong
Minxuan Lin
Haibin Huang
Pengfei Wan
Chongyang Ma
CVBM
330
5
0
29 May 2023
Aligning Optimization Trajectories with Diffusion Models for Constrained
  Design Generation
Aligning Optimization Trajectories with Diffusion Models for Constrained Design GenerationNeural Information Processing Systems (NeurIPS), 2023
Giorgio Giannone
Akash Srivastava
Ole Winther
Faez Ahmed
DiffMAI4CE
202
57
0
29 May 2023
Diff-Instruct: A Universal Approach for Transferring Knowledge From
  Pre-trained Diffusion Models
Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion ModelsNeural Information Processing Systems (NeurIPS), 2023
Weijian Luo
Tianyang Hu
Shifeng Zhang
Jiacheng Sun
Zhenguo Li
Zhihua Zhang
300
194
0
29 May 2023
Conditional Diffusion Models for Semantic 3D Brain MRI Synthesis
Conditional Diffusion Models for Semantic 3D Brain MRI SynthesisIEEE journal of biomedical and health informatics (IEEE JBHI), 2023
Zolnamar Dorjsembe
H. Pao
Sodtavilan Odonchimed
Furen Xiao
DiffMMedIm
328
106
0
29 May 2023
Learning to Jump: Thinning and Thickening Latent Counts for Generative
  Modeling
Learning to Jump: Thinning and Thickening Latent Counts for Generative ModelingInternational Conference on Machine Learning (ICML), 2023
Tianqi Chen
Mingyuan Zhou
DiffM
189
11
0
28 May 2023
Contrast, Attend and Diffuse to Decode High-Resolution Images from Brain
  Activities
Contrast, Attend and Diffuse to Decode High-Resolution Images from Brain ActivitiesNeural Information Processing Systems (NeurIPS), 2023
Jingyuan Sun
Mingxiao Li
Zijiao Chen
Yunhao Zhang
Shaonan Wang
Marie-Francine Moens
DiffM
497
49
0
26 May 2023
Functional Flow Matching
Functional Flow MatchingInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Gavin Kerrigan
Giosue Migliorini
Padhraic Smyth
380
31
0
26 May 2023
Accelerating Diffusion Models for Inverse Problems through Shortcut
  Sampling
Accelerating Diffusion Models for Inverse Problems through Shortcut SamplingInternational Joint Conference on Artificial Intelligence (IJCAI), 2023
Gongye Liu
Haoze Sun
Jiayi Li
Fei Yin
Yujiu Yang
283
29
0
26 May 2023
Tree-Based Diffusion Schrödinger Bridge with Applications to
  Wasserstein Barycenters
Tree-Based Diffusion Schrödinger Bridge with Applications to Wasserstein BarycentersNeural Information Processing Systems (NeurIPS), 2023
Maxence Noble
Valentin De Bortoli
Arnaud Doucet
Alain Durmus
DiffMOT
311
11
0
26 May 2023
Look Ma, No Hands! Agent-Environment Factorization of Egocentric Videos
Look Ma, No Hands! Agent-Environment Factorization of Egocentric VideosNeural Information Processing Systems (NeurIPS), 2023
Matthew Chang
Aditya Prakash
Saurabh Gupta
DiffM
322
19
0
25 May 2023
UDPM: Upsampling Diffusion Probabilistic Models
UDPM: Upsampling Diffusion Probabilistic ModelsNeural Information Processing Systems (NeurIPS), 2023
Shady Abu Hussein
Raja Giryes
DiffM
412
4
0
25 May 2023
ProSpect: Prompt Spectrum for Attribute-Aware Personalization of
  Diffusion Models
ProSpect: Prompt Spectrum for Attribute-Aware Personalization of Diffusion ModelsACM Transactions on Graphics (TOG), 2023
Yuxin Zhang
Weiming Dong
Fan Tang
Nisha Huang
Haibin Huang
Chongyang Ma
Tong-Yee Lee
Oliver Deussen
Changsheng Xu
DiffM
433
120
0
25 May 2023
GenerateCT: Text-Conditional Generation of 3D Chest CT Volumes
GenerateCT: Text-Conditional Generation of 3D Chest CT VolumesEuropean Conference on Computer Vision (ECCV), 2023
Ibrahim Ethem Hamamci
Sezgin Er
Anjany Sekuboyina
Enis Simsar
A. Tezcan
...
Hadrien Reynaud
Sarthak Pati
Christian Bluethgen
M. K. Özdemir
Bjoern Menze
DiffMMedIm
395
52
0
25 May 2023
DiffusionShield: A Watermark for Copyright Protection against Generative
  Diffusion Models
DiffusionShield: A Watermark for Copyright Protection against Generative Diffusion ModelsSIGKDD Explorations (SIGKDD Explor.), 2023
Yingqian Cui
Jie Ren
Han Xu
Pengfei He
Hui Liu
Lichao Sun
Yue Xing
Shucheng Zhou
WIGM
264
44
0
25 May 2023
Efficient Neural Music Generation
Efficient Neural Music GenerationNeural Information Processing Systems (NeurIPS), 2023
Max W. Y. Lam
Qiao Tian
Tang-Chun Li
Zongyu Yin
Siyuan Feng
...
Mingbo Ma
Xuchen Song
Jitong Chen
Yuping Wang
Yuxuan Wang
DiffMMGen
255
83
0
25 May 2023
Zero-shot Generation of Training Data with Denoising Diffusion
  Probabilistic Model for Handwritten Chinese Character Recognition
Zero-shot Generation of Training Data with Denoising Diffusion Probabilistic Model for Handwritten Chinese Character RecognitionIEEE International Conference on Document Analysis and Recognition (ICDAR), 2023
Dongnan Gui
Kai Chen
Haisong Ding
Qiang Huo
VLMDiffM
184
20
0
25 May 2023
Manifold Diffusion Fields
Manifold Diffusion FieldsInternational Conference on Learning Representations (ICLR), 2023
Ahmed A. A. Elhag
Yuyang Wang
J. Susskind
Miguel Angel Bautista
DiffMAI4CE
306
9
0
24 May 2023
Alleviating Exposure Bias in Diffusion Models through Sampling with
  Shifted Time Steps
Alleviating Exposure Bias in Diffusion Models through Sampling with Shifted Time StepsInternational Conference on Learning Representations (ICLR), 2023
Mingxiao Li
Tingyu Qu
Ruicong Yao
Wei Sun
Marie-Francine Moens
DiffM
439
64
0
24 May 2023
Unsupervised Semantic Correspondence Using Stable Diffusion
Unsupervised Semantic Correspondence Using Stable DiffusionNeural Information Processing Systems (NeurIPS), 2023
Eric Hedlin
Gopal Sharma
Shweta Mahajan
Hossam N. Isack
Abhishek Kar
Andrea Tagliasacchi
K. M. Yi
DiffM
383
126
0
24 May 2023
A Neural Space-Time Representation for Text-to-Image Personalization
A Neural Space-Time Representation for Text-to-Image PersonalizationACM Transactions on Graphics (TOG), 2023
Yuval Alaluf
Elad Richardson
G. Metzer
Daniel Cohen-Or
DiffM
339
129
0
24 May 2023
Solving Diffusion ODEs with Optimal Boundary Conditions for Better Image
  Super-Resolution
Solving Diffusion ODEs with Optimal Boundary Conditions for Better Image Super-ResolutionInternational Conference on Learning Representations (ICLR), 2023
Yi Ma
Huan Yang
Wenhan Yang
Jianlong Fu
Jiaying Liu
DiffM
374
9
0
24 May 2023
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