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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 / 2,791 papers shown
Title
Entropy-driven Sampling and Training Scheme for Conditional Diffusion
  Generation
Entropy-driven Sampling and Training Scheme for Conditional Diffusion GenerationEuropean Conference on Computer Vision (ECCV), 2022
Sheng-liang Li
Guangcong Zheng
Haibo Wang
Taiping Yao
Yang Chen
Shoudong Ding
Xi Li
DiffM
283
29
0
23 Jun 2022
The ArtBench Dataset: Benchmarking Generative Models with Artworks
The ArtBench Dataset: Benchmarking Generative Models with Artworks
Peiyuan Liao
Xiuyu Li
Xihui Liu
Kurt Keutzer
189
63
0
22 Jun 2022
A Study on the Evaluation of Generative Models
A Study on the Evaluation of Generative Models
Eyal Betzalel
Coby Penso
Aviv Navon
Ethan Fetaya
EGVM
193
56
0
22 Jun 2022
Guided Diffusion Model for Adversarial Purification from Random Noise
Guided Diffusion Model for Adversarial Purification from Random Noise
Quanlin Wu
Hang Ye
Yuntian Gu
DiffM
117
48
0
22 Jun 2022
(Certified!!) Adversarial Robustness for Free!
(Certified!!) Adversarial Robustness for Free!International Conference on Learning Representations (ICLR), 2022
Nicholas Carlini
Florian Tramèr
Krishnamurthy Dvijotham
Leslie Rice
Mingjie Sun
J. Zico Kolter
DiffM
416
167
0
21 Jun 2022
Generative Modelling With Inverse Heat Dissipation
Generative Modelling With Inverse Heat DissipationInternational Conference on Learning Representations (ICLR), 2022
Severi Rissanen
Markus Heinonen
Arno Solin
DiffM
643
149
0
21 Jun 2022
Score-Guided Intermediate Layer Optimization: Fast Langevin Mixing for
  Inverse Problems
Score-Guided Intermediate Layer Optimization: Fast Langevin Mixing for Inverse Problems
Giannis Daras
Y. Dagan
A. Dimakis
C. Daskalakis
BDL
291
16
0
18 Jun 2022
Diffusion models as plug-and-play priors
Diffusion models as plug-and-play priorsNeural Information Processing Systems (NeurIPS), 2022
Alexandros Graikos
Nikolay Malkin
Nebojsa Jojic
Dimitris Samaras
DiffM
349
269
0
17 Jun 2022
A Flexible Diffusion Model
A Flexible Diffusion ModelInternational Conference on Machine Learning (ICML), 2022
Weitao Du
Tao Yang
Heidi Zhang
Yuanqi Du
DiffM
172
12
0
17 Jun 2022
Discrete Contrastive Diffusion for Cross-Modal Music and Image
  Generation
Discrete Contrastive Diffusion for Cross-Modal Music and Image GenerationInternational Conference on Learning Representations (ICLR), 2022
Ye Zhu
Yuehua Wu
Kyle Olszewski
Jian Ren
Sergey Tulyakov
Yan Yan
DiffM
358
56
0
15 Jun 2022
Diffusion Models for Video Prediction and Infilling
Diffusion Models for Video Prediction and Infilling
Tobias Höppe
Arash Mehrjou
Stefan Bauer
Didrik Nielsen
Andrea Dittadi
DiffMVGen
278
156
0
15 Jun 2022
Estimating the Optimal Covariance with Imperfect Mean in Diffusion
  Probabilistic Models
Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic ModelsInternational Conference on Machine Learning (ICML), 2022
Fan Bao
Chongxuan Li
Jiacheng Sun
Jun Zhu
Bo Zhang
DiffM
161
84
0
15 Jun 2022
gDDIM: Generalized denoising diffusion implicit models
gDDIM: Generalized denoising diffusion implicit modelsInternational Conference on Learning Representations (ICLR), 2022
Qinsheng Zhang
Molei Tao
Yongxin Chen
DiffM
235
144
0
11 Jun 2022
Multi-instrument Music Synthesis with Spectrogram Diffusion
Multi-instrument Music Synthesis with Spectrogram DiffusionInternational Society for Music Information Retrieval Conference (ISMIR), 2022
Curtis Hawthorne
Ian Simon
Adam Roberts
Neil Zeghidour
Josh Gardner
Ethan Manilow
Jesse Engel
DiffM
197
56
0
11 Jun 2022
How Much is Enough? A Study on Diffusion Times in Score-based Generative
  Models
How Much is Enough? A Study on Diffusion Times in Score-based Generative Models
Giulio Franzese
Simone Rossi
Lixuan Yang
A. Finamore
Dario Rossi
Maurizio Filippone
Pietro Michiardi
DiffM
183
49
0
10 Jun 2022
Draft-and-Revise: Effective Image Generation with Contextual
  RQ-Transformer
Draft-and-Revise: Effective Image Generation with Contextual RQ-TransformerNeural Information Processing Systems (NeurIPS), 2022
Doyup Lee
Chiheon Kim
Saehoon Kim
Minsu Cho
Wook-Shin Han
156
33
0
09 Jun 2022
Accelerating Score-based Generative Models for High-Resolution Image
  Synthesis
Accelerating Score-based Generative Models for High-Resolution Image Synthesis
He Ma
Li Zhang
Xiatian Zhu
Jingfeng Zhang
Jianfeng Feng
DiffM
202
15
0
08 Jun 2022
Fast Unsupervised Brain Anomaly Detection and Segmentation with
  Diffusion Models
Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion ModelsInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
W. H. Pinaya
M. Graham
Robert J. Gray
P. F. D. Costa
Petru-Daniel Tudosiu
...
D. Werring
Geraint Rees
P. Nachev
Sebastien Ourselin
M. Jorge Cardoso
DiffMMedIm
194
129
0
07 Jun 2022
Blended Latent Diffusion
Blended Latent DiffusionACM Transactions on Graphics (TOG), 2022
Omri Avrahami
Ohad Fried
Dani Lischinski
DiffM
328
483
0
06 Jun 2022
Compositional Visual Generation with Composable Diffusion Models
Compositional Visual Generation with Composable Diffusion ModelsEuropean Conference on Computer Vision (ECCV), 2022
Nan Liu
Shuang Li
Yilun Du
Antonio Torralba
J. Tenenbaum
DiffMCoGe
635
636
0
03 Jun 2022
Score-Based Generative Models Detect Manifolds
Score-Based Generative Models Detect ManifoldsNeural Information Processing Systems (NeurIPS), 2022
Jakiw Pidstrigach
DiffM
413
109
0
02 Jun 2022
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling
  in Around 10 Steps
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 StepsNeural Information Processing Systems (NeurIPS), 2022
Cheng Lu
Yuhao Zhou
Fan Bao
Jianfei Chen
Chongxuan Li
Jun Zhu
DiffM
709
1,918
0
02 Jun 2022
DiVAE: Photorealistic Images Synthesis with Denoising Diffusion Decoder
DiVAE: Photorealistic Images Synthesis with Denoising Diffusion Decoder
Jie Shi
Chenfei Wu
Jian Liang
Xiang Liu
Nan Duan
DiffM
176
31
0
01 Jun 2022
Elucidating the Design Space of Diffusion-Based Generative Models
Elucidating the Design Space of Diffusion-Based Generative ModelsNeural Information Processing Systems (NeurIPS), 2022
Tero Karras
M. Aittala
Timo Aila
S. Laine
DiffM
866
2,696
0
01 Jun 2022
Torsional Diffusion for Molecular Conformer Generation
Torsional Diffusion for Molecular Conformer GenerationNeural Information Processing Systems (NeurIPS), 2022
Bowen Jing
Gabriele Corso
Jeffrey Chang
Regina Barzilay
Tommi Jaakkola
DiffMBDL
229
329
0
01 Jun 2022
On Analyzing Generative and Denoising Capabilities of Diffusion-based
  Deep Generative Models
On Analyzing Generative and Denoising Capabilities of Diffusion-based Deep Generative ModelsNeural Information Processing Systems (NeurIPS), 2022
Kamil Deja
Anna Kuzina
Tomasz Trzciñski
Jakub M. Tomczak
DiffM
199
35
0
31 May 2022
Improved Vector Quantized Diffusion Models
Improved Vector Quantized Diffusion Models
Zhicong Tang
Shuyang Gu
Jianmin Bao
Dong Chen
Fang Wen
DiffM
375
72
0
31 May 2022
Few-Shot Diffusion Models
Few-Shot Diffusion Models
Giorgio Giannone
Didrik Nielsen
Ole Winther
DiffM
338
55
0
30 May 2022
Guided Diffusion Model for Adversarial Purification
Guided Diffusion Model for Adversarial Purification
Jinyi Wang
Zhaoyang Lyu
Dahua Lin
Bo Dai
Hongfei Fu
DiffM
436
109
0
30 May 2022
BinauralGrad: A Two-Stage Conditional Diffusion Probabilistic Model for
  Binaural Audio Synthesis
BinauralGrad: A Two-Stage Conditional Diffusion Probabilistic Model for Binaural Audio SynthesisNeural Information Processing Systems (NeurIPS), 2022
Yichong Leng
Zehua Chen
Junliang Guo
Haohe Liu
Jiawei Chen
...
Lei He
Xiang-Yang Li
Tao Qin
Sheng Zhao
Tie-Yan Liu
DiffM
247
74
0
30 May 2022
Diffusion-LM Improves Controllable Text Generation
Diffusion-LM Improves Controllable Text GenerationNeural Information Processing Systems (NeurIPS), 2022
Xiang Lisa Li
John Thickstun
Ishaan Gulrajani
Abigail Z. Jacobs
Tatsunori B. Hashimoto
AI4CE
467
1,075
0
27 May 2022
Maximum Likelihood Training of Implicit Nonlinear Diffusion Models
Maximum Likelihood Training of Implicit Nonlinear Diffusion ModelsNeural Information Processing Systems (NeurIPS), 2022
Dongjun Kim
Byeonghu Na
S. Kwon
Dongsoo Lee
Wanmo Kang
Il-Chul Moon
DiffM
612
59
0
27 May 2022
Accelerating Diffusion Models via Early Stop of the Diffusion Process
Accelerating Diffusion Models via Early Stop of the Diffusion Process
Zhaoyang Lyu
Xu Xudong
Ceyuan Yang
Dahua Lin
Bo Dai
DiffM
473
123
0
25 May 2022
Region-aware Knowledge Distillation for Efficient Image-to-Image
  Translation
Region-aware Knowledge Distillation for Efficient Image-to-Image TranslationBritish Machine Vision Conference (BMVC), 2022
Linfeng Zhang
Xin Chen
Runpei Dong
Kaisheng Ma
VLM
189
13
0
25 May 2022
Flexible Diffusion Modeling of Long Videos
Flexible Diffusion Modeling of Long VideosNeural Information Processing Systems (NeurIPS), 2022
William Harvey
Saeid Naderiparizi
Vaden Masrani
Christian D. Weilbach
Frank Wood
DiffMBDLVGen
433
341
0
23 May 2022
Photorealistic Text-to-Image Diffusion Models with Deep Language
  Understanding
Photorealistic Text-to-Image Diffusion Models with Deep Language UnderstandingNeural Information Processing Systems (NeurIPS), 2022
Chitwan Saharia
William Chan
Saurabh Saxena
Lala Li
Jay Whang
...
Raphael Gontijo-Lopes
Tim Salimans
Jonathan Ho
David J Fleet
Mohammad Norouzi
VLM
1.1K
7,380
0
23 May 2022
Decoder Denoising Pretraining for Semantic Segmentation
Decoder Denoising Pretraining for Semantic Segmentation
Emmanuel B. Asiedu
Simon Kornblith
Ting Chen
Niki Parmar
Matthias Minderer
Mohammad Norouzi
AI4CE
464
28
0
23 May 2022
Planning with Diffusion for Flexible Behavior Synthesis
Planning with Diffusion for Flexible Behavior SynthesisInternational Conference on Machine Learning (ICML), 2022
Michael Janner
Yilun Du
J. Tenenbaum
Sergey Levine
DiffM
877
950
0
20 May 2022
Deterministic training of generative autoencoders using invertible
  layers
Deterministic training of generative autoencoders using invertible layersInternational Conference on Learning Representations (ICLR), 2022
Gianluigi Silvestri
Daan Roos
Luca Ambrogioni
TPM
208
3
0
19 May 2022
Subspace Diffusion Generative Models
Subspace Diffusion Generative ModelsEuropean Conference on Computer Vision (ECCV), 2022
Bowen Jing
Gabriele Corso
Renato Berlinghieri
Tommi Jaakkola
DiffM
273
86
0
03 May 2022
Fast Sampling of Diffusion Models with Exponential Integrator
Fast Sampling of Diffusion Models with Exponential IntegratorInternational Conference on Learning Representations (ICLR), 2022
Qinsheng Zhang
Yongxin Chen
DiffM
316
521
0
29 Apr 2022
A Survey on Non-Autoregressive Generation for Neural Machine Translation
  and Beyond
A Survey on Non-Autoregressive Generation for Neural Machine Translation and BeyondIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Yisheng Xiao
Lijun Wu
Junliang Guo
Juntao Li
Hao Fei
Tao Qin
Tie-Yan Liu
3DVMedImAI4CE
231
111
0
20 Apr 2022
Simultaneous Multiple-Prompt Guided Generation Using Differentiable
  Optimal Transport
Simultaneous Multiple-Prompt Guided Generation Using Differentiable Optimal TransportInternational Conference on Innovative Computing and Cloud Computing (ICCC), 2022
Yingtao Tian
Marco Cuturi
David R Ha
DiffMOT
112
1
0
18 Apr 2022
Any-resolution Training for High-resolution Image Synthesis
Any-resolution Training for High-resolution Image SynthesisEuropean Conference on Computer Vision (ECCV), 2022
Lucy Chai
Michael Gharbi
Eli Shechtman
Phillip Isola
Richard Y. Zhang
205
82
0
14 Apr 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents
Hierarchical Text-Conditional Image Generation with CLIP Latents
Aditya A. Ramesh
Prafulla Dhariwal
Alex Nichol
Casey Chu
Mark Chen
VLMDiffM
987
8,189
0
13 Apr 2022
Video Diffusion Models
Video Diffusion ModelsNeural Information Processing Systems (NeurIPS), 2022
Jonathan Ho
Tim Salimans
Alexey A. Gritsenko
William Chan
Mohammad Norouzi
David J. Fleet
DiffMVGen
782
2,171
0
07 Apr 2022
The Swiss Army Knife for Image-to-Image Translation: Multi-Task
  Diffusion Models
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J. Wolleb
Robin Sandkühler
Florentin Bieder
Philippe C. Cattin
MedImDiffM
164
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Perception Prioritized Training of Diffusion Models
Perception Prioritized Training of Diffusion ModelsComputer Vision and Pattern Recognition (CVPR), 2022
Jooyoung Choi
Jungbeom Lee
Chaehun Shin
Sungwon Kim
Hyunwoo J. Kim
Sung-Hoon Yoon
DiffM
265
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Generating High Fidelity Data from Low-density Regions using Diffusion
  Models
Generating High Fidelity Data from Low-density Regions using Diffusion ModelsComputer Vision and Pattern Recognition (CVPR), 2022
Vikash Sehwag
C. Hazirbas
Albert Gordo
Firat Ozgenel
Cristian Canton Ferrer
DiffM
257
82
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Equivariant Diffusion for Molecule Generation in 3D
Equivariant Diffusion for Molecule Generation in 3DInternational Conference on Machine Learning (ICML), 2022
Emiel Hoogeboom
Victor Garcia Satorras
Clément Vignac
Max Welling
DiffM
371
771
0
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