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Cascaded Diffusion Models for High Fidelity Image Generation
v1v2v3 (latest)

Cascaded Diffusion Models for High Fidelity Image Generation

Journal of machine learning research (JMLR), 2021
30 May 2021
Jonathan Ho
Chitwan Saharia
William Chan
David J. Fleet
Mohammad Norouzi
Tim Salimans
ArXiv (abs)PDFHTML

Papers citing "Cascaded Diffusion Models for High Fidelity Image Generation"

50 / 964 papers shown
Understanding Diffusion Models: A Unified Perspective
Understanding Diffusion Models: A Unified Perspective
Calvin Luo
DiffM
295
466
0
25 Aug 2022
Diffusion-based Time Series Imputation and Forecasting with Structured
  State Space Models
Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models
Juan Miguel Lopez Alcaraz
Nils Strodthoff
DiffM
377
237
0
19 Aug 2022
Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise
Cold Diffusion: Inverting Arbitrary Image Transforms Without NoiseNeural Information Processing Systems (NeurIPS), 2022
Arpit Bansal
Eitan Borgnia
Hong-Min Chu
Jie S. Li
Hamid Kazemi
Furong Huang
Micah Goldblum
Jonas Geiping
Tom Goldstein
VLMDiffM
229
363
0
19 Aug 2022
G2P-DDM: Generating Sign Pose Sequence from Gloss Sequence with Discrete
  Diffusion Model
G2P-DDM: Generating Sign Pose Sequence from Gloss Sequence with Discrete Diffusion ModelAAAI Conference on Artificial Intelligence (AAAI), 2022
Pan Xie
Qipeng Zhang
Zexian Li
Hao Tang
Yao Du
Xiaohui Hu
DiffM
319
31
0
19 Aug 2022
Enhancing Diffusion-Based Image Synthesis with Robust Classifier
  Guidance
Enhancing Diffusion-Based Image Synthesis with Robust Classifier Guidance
Bahjat Kawar
Roy Ganz
Michael Elad
DiffM
186
46
0
18 Aug 2022
Wavelet Score-Based Generative Modeling
Wavelet Score-Based Generative ModelingNeural Information Processing Systems (NeurIPS), 2022
Florentin Guth
Simon Coste
Valentin De Bortoli
S. Mallat
DiffM
245
77
0
09 Aug 2022
Analog Bits: Generating Discrete Data using Diffusion Models with
  Self-Conditioning
Analog Bits: Generating Discrete Data using Diffusion Models with Self-ConditioningInternational Conference on Learning Representations (ICLR), 2022
Ting-Li Chen
Ruixiang Zhang
Geoffrey E. Hinton
DiffM
397
398
0
08 Aug 2022
Pyramidal Denoising Diffusion Probabilistic Models
Pyramidal Denoising Diffusion Probabilistic Models
Dohoon Ryu
Jong Chul Ye
321
28
0
03 Aug 2022
Prompt-to-Prompt Image Editing with Cross Attention Control
Prompt-to-Prompt Image Editing with Cross Attention ControlInternational Conference on Learning Representations (ICLR), 2022
Amir Hertz
Ron Mokady
J. Tenenbaum
Kfir Aberman
Yael Pritch
Daniel Cohen-Or
DiffM
716
2,333
0
02 Aug 2022
Restoring Vision in Adverse Weather Conditions with Patch-Based
  Denoising Diffusion Models
Restoring Vision in Adverse Weather Conditions with Patch-Based Denoising Diffusion ModelsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Ozan Özdenizci
Robert Legenstein
DiffM
337
389
0
29 Jul 2022
Classifier-Free Diffusion Guidance
Classifier-Free Diffusion Guidance
Jonathan Ho
Tim Salimans
FaML
475
5,304
0
26 Jul 2022
Do Perceptually Aligned Gradients Imply Adversarial Robustness?
Do Perceptually Aligned Gradients Imply Adversarial Robustness?International Conference on Machine Learning (ICML), 2022
Roy Ganz
Bahjat Kawar
Michael Elad
AAML
303
15
0
22 Jul 2022
DiffuStereo: High Quality Human Reconstruction via Diffusion-based
  Stereo Using Sparse Cameras
DiffuStereo: High Quality Human Reconstruction via Diffusion-based Stereo Using Sparse CamerasEuropean Conference on Computer Vision (ECCV), 2022
Ruizhi Shao
Zerong Zheng
Hongwen Zhang
Jingxiang Sun
Yebin Liu
412
62
0
16 Jul 2022
Progressive Deblurring of Diffusion Models for Coarse-to-Fine Image
  Synthesis
Progressive Deblurring of Diffusion Models for Coarse-to-Fine Image Synthesis
Sangyun Lee
Hyungjin Chung
Jaehyeon Kim
Jong Chul Ye
DiffM
270
47
0
16 Jul 2022
Improving Diffusion Model Efficiency Through Patching
Improving Diffusion Model Efficiency Through Patching
Troy Luhman
Eric Luhman
DiffM
187
21
0
09 Jul 2022
Exploring Generative Adversarial Networks for Text-to-Image Generation
  with Evolution Strategies
Exploring Generative Adversarial Networks for Text-to-Image Generation with Evolution Strategies
Victor G. Turrisi da Costa
Nuno Lourenço
João Correia
Penousal Machado
GAN
121
4
0
06 Jul 2022
Accelerating Score-based Generative Models with Preconditioned Diffusion
  Sampling
Accelerating Score-based Generative Models with Preconditioned Diffusion SamplingEuropean Conference on Computer Vision (ECCV), 2022
He Ma
Li Zhang
Xiatian Zhu
Jianfeng Feng
DiffM
196
30
0
05 Jul 2022
Semantic Image Synthesis via Diffusion Models
Semantic Image Synthesis via Diffusion Models
Weilun Wang
Weilun Wang
Wen-gang Zhou
Dongdong Chen
Dong Chen
Lu Yuan
Houqiang Li
DiffM
796
207
0
30 Jun 2022
Scaling Autoregressive Models for Content-Rich Text-to-Image Generation
Scaling Autoregressive Models for Content-Rich Text-to-Image Generation
Jiahui Yu
Yuanzhong Xu
Jing Yu Koh
Thang Luong
Gunjan Baid
...
Zarana Parekh
Xin Li
Han Zhang
Jason Baldridge
Yonghui Wu
EGVM
644
1,359
0
22 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
809
151
0
21 Jun 2022
Lossy Compression with Gaussian Diffusion
Lossy Compression with Gaussian Diffusion
Lucas Theis
Tim Salimans
Matthew D. Hoffman
Fabian Mentzer
DiffM
339
99
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
378
56
0
15 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
221
16
0
08 Jun 2022
Generating Long Videos of Dynamic Scenes
Generating Long Videos of Dynamic ScenesNeural Information Processing Systems (NeurIPS), 2022
Tim Brooks
Janne Hellsten
M. Aittala
Ting-Chun Wang
Timo Aila
J. Lehtinen
Xuan Li
Alexei A. Efros
Tero Karras
SyDa
281
130
0
07 Jun 2022
Zero-Shot Voice Conditioning for Denoising Diffusion TTS Models
Zero-Shot Voice Conditioning for Denoising Diffusion TTS ModelsInterspeech (Interspeech), 2022
Alon Levkovitch
Eliya Nachmani
Lior Wolf
DiffM
200
31
0
05 Jun 2022
Score-Based Generative Models Detect Manifolds
Score-Based Generative Models Detect ManifoldsNeural Information Processing Systems (NeurIPS), 2022
Jakiw Pidstrigach
DiffM
468
111
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
197
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
909
2,746
0
01 Jun 2022
PAGER: Progressive Attribute-Guided Extendable Robust Image Generation
PAGER: Progressive Attribute-Guided Extendable Robust Image GenerationAPSIPA Transactions on Signal and Information Processing (TASIP), 2022
Zohreh Azizi
C.-C. Jay Kuo
VLMDiffMGAN
290
9
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
215
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
427
73
0
31 May 2022
Few-Shot Diffusion Models
Few-Shot Diffusion Models
Giorgio Giannone
Didrik Nielsen
Ole Winther
DiffM
348
55
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
307
77
0
30 May 2022
Pretraining is All You Need for Image-to-Image Translation
Pretraining is All You Need for Image-to-Image Translation
Tengfei Wang
Ting Zhang
Bo Zhang
Hao Ouyang
Dong Chen
Qifeng Chen
Fang Wen
DiffM
423
198
0
25 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
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7,473
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
483
28
0
23 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
321
86
0
03 May 2022
Semi-Parametric Neural Image Synthesis
Semi-Parametric Neural Image Synthesis
A. Blattmann
Robin Rombach
Kaan Oktay
Jonas Muller
Bjorn Ommer
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300
32
0
25 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
1.1K
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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
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833
2,206
0
07 Apr 2022
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
281
82
0
31 Mar 2022
Denoising Likelihood Score Matching for Conditional Score-based Data
  Generation
Denoising Likelihood Score Matching for Conditional Score-based Data GenerationInternational Conference on Learning Representations (ICLR), 2022
Chen-Hao Chao
Wei-Fang Sun
Bo Wun Cheng
Yi-Chen Lo
Chia-Che Chang
Yu-Lun Liu
Yu-Lin Chang
Chia-Ping Chen
Chun-Yi Lee
DiffM
190
51
0
27 Mar 2022
Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priors
Make-A-Scene: Scene-Based Text-to-Image Generation with Human PriorsEuropean Conference on Computer Vision (ECCV), 2022
Oran Gafni
Adam Polyak
Oron Ashual
Shelly Sheynin
Devi Parikh
Yaniv Taigman
DiffM
292
596
0
24 Mar 2022
Image Super-Resolution With Deep Variational Autoencoders
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Darius Chira
Ilian Haralampiev
Ole Winther
Andrea Dittadi
Valentin Liévin
DRL
214
41
0
17 Mar 2022
A Survey on Deep Graph Generation: Methods and Applications
A Survey on Deep Graph Generation: Methods and ApplicationsLOG IN (LOG IN), 2022
Yanqiao Zhu
Yuanqi Du
Yinkai Wang
Yichen Xu
Jieyu Zhang
Qiang Liu
Shu Wu
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370
75
0
13 Mar 2022
Learning Fast Samplers for Diffusion Models by Differentiating Through
  Sample Quality
Learning Fast Samplers for Diffusion Models by Differentiating Through Sample QualityInternational Conference on Learning Representations (ICLR), 2022
Daniel Watson
William Chan
Jonathan Ho
Mohammad Norouzi
DiffMBDL
322
213
0
11 Feb 2022
MaskGIT: Masked Generative Image Transformer
MaskGIT: Masked Generative Image TransformerComputer Vision and Pattern Recognition (CVPR), 2022
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Han Zhang
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StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets
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DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from
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Kushagra Pandey
Avideep Mukherjee
Piyush Rai
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551
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Multimodal Image Synthesis and Editing: The Generative AI Era
Multimodal Image Synthesis and Editing: The Generative AI EraIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Fangneng Zhan
Yingchen Yu
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Adam Kortylewski
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