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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
SinDDM: A Single Image Denoising Diffusion Model
SinDDM: A Single Image Denoising Diffusion ModelInternational Conference on Machine Learning (ICML), 2022
Vladimir Kulikov
Shahar Yadin
Matan Kleiner
T. Michaeli
DiffM
242
106
0
29 Nov 2022
DiffPose: Multi-hypothesis Human Pose Estimation using Diffusion models
DiffPose: Multi-hypothesis Human Pose Estimation using Diffusion modelsIEEE International Conference on Computer Vision (ICCV), 2022
Karl Holmquist
Bastian Wandt
DiffM
264
85
0
29 Nov 2022
Dimensionality-Varying Diffusion Process
Dimensionality-Varying Diffusion ProcessComputer Vision and Pattern Recognition (CVPR), 2022
Han Zhang
Ruili Feng
Zhantao Yang
Lianghua Huang
Yu Liu
Yifei Zhang
Yujun Shen
Deli Zhao
Jingren Zhou
Fan Cheng
DiffM
152
12
0
29 Nov 2022
Refining Generative Process with Discriminator Guidance in Score-based
  Diffusion Models
Refining Generative Process with Discriminator Guidance in Score-based Diffusion ModelsInternational Conference on Machine Learning (ICML), 2022
Dongjun Kim
Yeongmin Kim
Se Jung Kwon
Wanmo Kang
Il-Chul Moon
DiffM
503
100
0
28 Nov 2022
Post-training Quantization on Diffusion Models
Post-training Quantization on Diffusion ModelsComputer Vision and Pattern Recognition (CVPR), 2022
Yuzhang Shang
Zhihang Yuan
Bin Xie
Bingzhe Wu
Yan Yan
DiffMMQ
466
265
0
28 Nov 2022
Is Conditional Generative Modeling all you need for Decision-Making?
Is Conditional Generative Modeling all you need for Decision-Making?International Conference on Learning Representations (ICLR), 2022
Anurag Ajay
Yilun Du
Abhi Gupta
J. Tenenbaum
Tommi Jaakkola
Pulkit Agrawal
DiffM
693
529
0
28 Nov 2022
Continuous diffusion for categorical data
Continuous diffusion for categorical data
Sander Dieleman
Laurent Sartran
Arman Roshannai
Nikolay Savinov
Yaroslav Ganin
...
Conor Durkan
Curtis Hawthorne
Rémi Leblond
Will Grathwohl
J. Adler
DiffM
342
146
0
28 Nov 2022
DiffusionBERT: Improving Generative Masked Language Models with
  Diffusion Models
DiffusionBERT: Improving Generative Masked Language Models with Diffusion ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Zhengfu He
Tianxiang Sun
Kuan-Chieh Wang
Xuanjing Huang
Xipeng Qiu
DiffMVLM
240
210
0
28 Nov 2022
Diffusion Probabilistic Model Made Slim
Diffusion Probabilistic Model Made SlimComputer Vision and Pattern Recognition (CVPR), 2022
Xingyi Yang
Daquan Zhou
Jiashi Feng
Xinchao Wang
DiffM
324
132
0
27 Nov 2022
Unified Discrete Diffusion for Simultaneous Vision-Language Generation
Unified Discrete Diffusion for Simultaneous Vision-Language GenerationInternational Conference on Learning Representations (ICLR), 2022
Minghui Hu
Chuanxia Zheng
Heliang Zheng
Tat-Jen Cham
Chaoyue Wang
Zuopeng Yang
Dacheng Tao
Ponnuthurai Nagaratnam Suganthan
DiffM
275
36
0
27 Nov 2022
Traditional Classification Neural Networks are Good Generators: They are
  Competitive with DDPMs and GANs
Traditional Classification Neural Networks are Good Generators: They are Competitive with DDPMs and GANs
Guangrun Wang
Juil Sock
286
11
0
27 Nov 2022
SpaText: Spatio-Textual Representation for Controllable Image Generation
SpaText: Spatio-Textual Representation for Controllable Image GenerationComputer Vision and Pattern Recognition (CVPR), 2022
Omri Avrahami
Thomas Hayes
Oran Gafni
Sonal Gupta
Yaniv Taigman
Devi Parikh
Dani Lischinski
Ohad Fried
Xiaoyue Yin
DiffM
279
248
0
25 Nov 2022
Latent Space Diffusion Models of Cryo-EM Structures
Latent Space Diffusion Models of Cryo-EM Structures
Karsten Kreis
Tim Dockhorn
Zihao Li
Ellen D. Zhong
DiffM
168
20
0
25 Nov 2022
PuzzleFusion: Unleashing the Power of Diffusion Models for Spatial
  Puzzle Solving
PuzzleFusion: Unleashing the Power of Diffusion Models for Spatial Puzzle SolvingNeural Information Processing Systems (NeurIPS), 2022
Sepidehsadat Hosseini
M. Shabani
Saghar Irandoust
Yasutaka Furukawa
DiffM
312
21
0
24 Nov 2022
Diffusion-SDF: Conditional Generative Modeling of Signed Distance
  Functions
Diffusion-SDF: Conditional Generative Modeling of Signed Distance FunctionsIEEE International Conference on Computer Vision (ICCV), 2022
Gene Chou
Yuval Bahat
Felix Heide
DiffM
323
158
0
24 Nov 2022
HouseDiffusion: Vector Floorplan Generation via a Diffusion Model with
  Discrete and Continuous Denoising
HouseDiffusion: Vector Floorplan Generation via a Diffusion Model with Discrete and Continuous DenoisingComputer Vision and Pattern Recognition (CVPR), 2022
M. Shabani
Sepidehsadat Hosseini
Yasutaka Furukawa
DiffM
186
105
0
23 Nov 2022
Latent Video Diffusion Models for High-Fidelity Long Video Generation
Latent Video Diffusion Models for High-Fidelity Long Video Generation
Yin-Yin He
Tianyu Yang
Yong Zhang
Ying Shan
Qifeng Chen
DiffMVGen
229
350
0
23 Nov 2022
Person Image Synthesis via Denoising Diffusion Model
Person Image Synthesis via Denoising Diffusion ModelComputer Vision and Pattern Recognition (CVPR), 2022
A. Bhunia
Salman Khan
Hisham Cholakkal
Rao Muhammad Anwer
Jorma T. Laaksonen
M. Shah
Fahad Shahbaz Khan
DiffM
336
153
0
22 Nov 2022
SinDiffusion: Learning a Diffusion Model from a Single Natural Image
SinDiffusion: Learning a Diffusion Model from a Single Natural ImageIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Weilun Wang
Jianmin Bao
Wen-gang Zhou
Dongdong Chen
Dong Chen
Lu Yuan
Houqiang Li
DiffM
185
63
0
22 Nov 2022
Can denoising diffusion probabilistic models generate realistic
  astrophysical fields?
Can denoising diffusion probabilistic models generate realistic astrophysical fields?
N. Mudur
D. Finkbeiner
DiffM
189
18
0
22 Nov 2022
DOLCE: A Model-Based Probabilistic Diffusion Framework for Limited-Angle
  CT Reconstruction
DOLCE: A Model-Based Probabilistic Diffusion Framework for Limited-Angle CT ReconstructionIEEE International Conference on Computer Vision (ICCV), 2022
Jiaming Liu
Rushil Anirudh
Jayaraman J. Thiagarajan
Stewart He
K. A. Mohan
Ulugbek S. Kamilov
Hyojin Kim
MedImDiffM
178
100
0
22 Nov 2022
Accelerating Diffusion Sampling with Classifier-based Feature
  Distillation
Accelerating Diffusion Sampling with Classifier-based Feature DistillationIEEE International Conference on Multimedia and Expo (ICME), 2022
Wujie Sun
Defang Chen
Can Wang
Deshi Ye
Yan Feng
Chun-Yen Chen
186
18
0
22 Nov 2022
SinFusion: Training Diffusion Models on a Single Image or Video
SinFusion: Training Diffusion Models on a Single Image or VideoInternational Conference on Machine Learning (ICML), 2022
Yaniv Nikankin
Niv Haim
Michal Irani
VGen
377
77
0
21 Nov 2022
Diffusion Denoising Process for Perceptron Bias in Out-of-distribution
  Detection
Diffusion Denoising Process for Perceptron Bias in Out-of-distribution Detection
Luping Liu
Yi Ren
Xize Cheng
Rongjie Huang
Chongxuan Li
Zhou Zhao
180
7
0
21 Nov 2022
DiffBP: Generative Diffusion of 3D Molecules for Target Protein Binding
DiffBP: Generative Diffusion of 3D Molecules for Target Protein BindingChemical Science (Chem. Sci.), 2022
Haitao Lin
Yufei Huang
Odin Zhang
Siqi Ma
Meng Liu
X. Li
Lirong Wu
Shuiwang Ji
Tingjun Hou
Stan Z. Li
DiffM
286
96
0
21 Nov 2022
IC3D: Image-Conditioned 3D Diffusion for Shape Generation
IC3D: Image-Conditioned 3D Diffusion for Shape Generation
Cristian Sbrolli
Paolo Cudrano
Matteo Frosi
Matteo Matteucci
DiffM
348
7
0
20 Nov 2022
Diffusion Model Based Posterior Sampling for Noisy Linear Inverse
  Problems
Diffusion Model Based Posterior Sampling for Noisy Linear Inverse ProblemsAsian Conference on Machine Learning (ACML), 2022
Xiangming Meng
Y. Kabashima
DiffM
504
70
0
20 Nov 2022
DiffStyler: Controllable Dual Diffusion for Text-Driven Image
  Stylization
DiffStyler: Controllable Dual Diffusion for Text-Driven Image StylizationIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Nisha Huang
Yuxin Zhang
Fan Tang
Chongyang Ma
Haibin Huang
Yong Zhang
Weiming Dong
Changsheng Xu
DiffM
288
65
0
19 Nov 2022
RenderDiffusion: Image Diffusion for 3D Reconstruction, Inpainting and
  Generation
RenderDiffusion: Image Diffusion for 3D Reconstruction, Inpainting and GenerationComputer Vision and Pattern Recognition (CVPR), 2022
Titas Anciukevicius
Zexiang Xu
Matthew Fisher
Paul Henderson
Hakan Bilen
Niloy J. Mitra
Paul Guerrero
282
203
0
17 Nov 2022
DiffusionDet: Diffusion Model for Object Detection
DiffusionDet: Diffusion Model for Object DetectionIEEE International Conference on Computer Vision (ICCV), 2022
Shoufa Chen
Pei Sun
Yibing Song
Ping Luo
404
650
0
17 Nov 2022
Listen, Denoise, Action! Audio-Driven Motion Synthesis with Diffusion
  Models
Listen, Denoise, Action! Audio-Driven Motion Synthesis with Diffusion ModelsACM Transactions on Graphics (TOG), 2022
Simon Alexanderson
Rajmund Nagy
Jonas Beskow
G. Henter
DiffMVGen
288
234
0
17 Nov 2022
Learning to Kindle the Starlight
Learning to Kindle the Starlight
Yu Yuan
Jiaqi Wu
Lindong Wang
Zhongliang Jing
H. Leung
Shuyuan Zhu
Han Pan
DiffM
221
3
0
16 Nov 2022
MAGE: MAsked Generative Encoder to Unify Representation Learning and
  Image Synthesis
MAGE: MAsked Generative Encoder to Unify Representation Learning and Image SynthesisComputer Vision and Pattern Recognition (CVPR), 2022
Tianhong Li
Huiwen Chang
Shlok Kumar Mishra
Han Zhang
Dina Katabi
Dilip Krishnan
331
232
0
16 Nov 2022
Fast Graph Generation via Spectral Diffusion
Fast Graph Generation via Spectral DiffusionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Tianze Luo
Zhanfeng Mo
Sinno Jialin Pan
DiffM
278
43
0
16 Nov 2022
Super-resolution Reconstruction of Single Image for Latent features
Super-resolution Reconstruction of Single Image for Latent featuresComputational Visual Media (CVM), 2022
Xin Wang
Jingkai Yan
Jingyong Cai
Jiankang Deng
Qin Qin
Yao Cheng
DiffM
338
10
0
16 Nov 2022
Versatile Diffusion: Text, Images and Variations All in One Diffusion
  Model
Versatile Diffusion: Text, Images and Variations All in One Diffusion ModelIEEE International Conference on Computer Vision (ICCV), 2022
Xingqian Xu
Zinan Lin
Eric Zhang
Kai Wang
Humphrey Shi
DiffM
561
248
0
15 Nov 2022
Will Large-scale Generative Models Corrupt Future Datasets?
Will Large-scale Generative Models Corrupt Future Datasets?IEEE International Conference on Computer Vision (ICCV), 2022
Ryuichiro Hataya
Han Bao
Hiromi Arai
245
72
0
15 Nov 2022
Diffusion Models for Medical Image Analysis: A Comprehensive Survey
Diffusion Models for Medical Image Analysis: A Comprehensive Survey
Amirhossein Kazerouni
Ehsan Khodapanah Aghdam
Moein Heidari
Reza Azad
Mohsen Fayyaz
Ilker Hacihaliloglu
Dorit Merhof
DiffMMedIm
510
575
0
14 Nov 2022
Extreme Generative Image Compression by Learning Text Embedding from
  Diffusion Models
Extreme Generative Image Compression by Learning Text Embedding from Diffusion Models
Zhihong Pan
Xiaoxia Zhou
Hao Tian
DiffM
204
30
0
14 Nov 2022
Arbitrary Style Guidance for Enhanced Diffusion-Based Text-to-Image
  Generation
Arbitrary Style Guidance for Enhanced Diffusion-Based Text-to-Image GenerationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Zhihong Pan
Xiaoxia Zhou
Hao Tian
DiffM
184
15
0
14 Nov 2022
HumanDiffusion: a Coarse-to-Fine Alignment Diffusion Framework for
  Controllable Text-Driven Person Image Generation
HumanDiffusion: a Coarse-to-Fine Alignment Diffusion Framework for Controllable Text-Driven Person Image Generation
Kai Zhang
Muyi Sun
Jianxin Sun
Binghao Zhao
Kunbo Zhang
Zhenan Sun
Tieniu Tan
DiffM
155
14
0
11 Nov 2022
DisPositioNet: Disentangled Pose and Identity in Semantic Image
  Manipulation
DisPositioNet: Disentangled Pose and Identity in Semantic Image ManipulationBritish Machine Vision Conference (BMVC), 2022
Azade Farshad
Yousef Yeganeh
Helisa Dhamo
F. Tombari
Nassir Navab
DiffMOCLDRLCoGe
261
4
0
10 Nov 2022
Self-conditioned Embedding Diffusion for Text Generation
Self-conditioned Embedding Diffusion for Text Generation
Robin Strudel
Corentin Tallec
Florent Altché
Yilun Du
Yaroslav Ganin
...
Will Grathwohl
Nikolay Savinov
Sander Dieleman
Laurent Sifre
Rémi Leblond
DiffM
234
106
0
08 Nov 2022
Unsupervised vocal dereverberation with diffusion-based generative
  models
Unsupervised vocal dereverberation with diffusion-based generative modelsIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Koichi Saito
Naoki Murata
Toshimitsu Uesaka
Chieh-Hsin Lai
Yuhta Takida
Takao Fukui
Yuki Mitsufuji
DiffM
169
28
0
08 Nov 2022
Astronomia ex machina: a history, primer, and outlook on neural networks
  in astronomy
Astronomia ex machina: a history, primer, and outlook on neural networks in astronomyRoyal Society Open Science (RSOS), 2022
Michael J. Smith
James E. Geach
209
49
0
07 Nov 2022
Few-shot Image Generation with Diffusion Models
Few-shot Image Generation with Diffusion Models
Jin Zhu
Huimin Ma
Jiansheng Chen
Jian Yuan
DiffM
301
29
0
07 Nov 2022
Beyond Hawkes: Neural Multi-event Forecasting on Spatio-temporal Point
  Processes
Beyond Hawkes: Neural Multi-event Forecasting on Spatio-temporal Point Processes
Negar Erfanian
Santiago Segarra
Maarten V. de Hoop
AI4TS
247
1
0
05 Nov 2022
Modeling Temporal Data as Continuous Functions with Stochastic Process
  Diffusion
Modeling Temporal Data as Continuous Functions with Stochastic Process DiffusionInternational Conference on Machine Learning (ICML), 2022
Marin Bilos
Kashif Rasul
Anderson Schneider
Yuriy Nevmyvaka
Stephan Günnemann
DiffM
330
50
0
04 Nov 2022
Cold Diffusion for Speech Enhancement
Cold Diffusion for Speech EnhancementIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Hao Yen
François Germain
Gordon Wichern
Jonathan Le Roux
DiffM
383
55
0
04 Nov 2022
Efficient Spatially Sparse Inference for Conditional GANs and Diffusion
  Models
Efficient Spatially Sparse Inference for Conditional GANs and Diffusion ModelsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Zhekai Zhang
Ji Lin
Chenlin Meng
Stefano Ermon
Song Han
Jun-Yan Zhu
DiffM
505
61
0
03 Nov 2022
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