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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
MVDiffusion: Enabling Holistic Multi-view Image Generation with
  Correspondence-Aware Diffusion
MVDiffusion: Enabling Holistic Multi-view Image Generation with Correspondence-Aware DiffusionNeural Information Processing Systems (NeurIPS), 2023
Shitao Tang
Fuyang Zhang
Jiacheng Chen
Peng Wang
Yasutaka Furukawa
579
203
0
03 Jul 2023
DifFSS: Diffusion Model for Few-Shot Semantic Segmentation
DifFSS: Diffusion Model for Few-Shot Semantic Segmentation
Weimin Tan
Siyuan Chen
Bo Yan
DiffM
218
32
0
03 Jul 2023
DreamDiffusion: Generating High-Quality Images from Brain EEG Signals
DreamDiffusion: Generating High-Quality Images from Brain EEG Signals
Yun-Hao Bai
Xintao Wang
Yanpei Cao
Yixiao Ge
Chun Yuan
Ying Shan
DiffM
215
79
0
29 Jun 2023
Iterative-in-Iterative Super-Resolution Biomedical Imaging Using One
  Real Image
Iterative-in-Iterative Super-Resolution Biomedical Imaging Using One Real Image
Yuanzheng Ma
Xinyue Wang
Benqi Zhao
Ying Xiao
Shijie Deng
Jian Song
Xun Guan
SupRMedIm
92
1
0
26 Jun 2023
DomainStudio: Fine-Tuning Diffusion Models for Domain-Driven Image
  Generation using Limited Data
DomainStudio: Fine-Tuning Diffusion Models for Domain-Driven Image Generation using Limited DataInternational Journal of Computer Vision (IJCV), 2023
Jin Zhu
Huimin Ma
Jiansheng Chen
Jian Yuan
DiffM
484
20
0
25 Jun 2023
DiffInfinite: Large Mask-Image Synthesis via Parallel Random Patch
  Diffusion in Histopathology
DiffInfinite: Large Mask-Image Synthesis via Parallel Random Patch Diffusion in HistopathologyNeural Information Processing Systems (NeurIPS), 2023
Marco Aversa
Gabriel Nobis
Miriam Hagele
Kai Standvoss
Mihaela Chirica
...
D. Ivanova
Wojciech Samek
Frederick Klauschen
B. Sanguinetti
Luis Oala
MedIm
304
30
0
23 Jun 2023
FuXi: A cascade machine learning forecasting system for 15-day global
  weather forecast
FuXi: A cascade machine learning forecasting system for 15-day global weather forecastnpj Climate and Atmospheric Science (npj Clim. Atmos. Sci.), 2023
Lei Chen
Xiaohui Zhong
Feng-jun Zhang
Yuan Cheng
Yinghui Xu
Yuan Qi
Hao Li
AI4Cl
344
375
0
22 Jun 2023
Temporal Conditioning Spiking Latent Variable Models of the Neural
  Response to Natural Visual Scenes
Temporal Conditioning Spiking Latent Variable Models of the Neural Response to Natural Visual ScenesNeural Information Processing Systems (NeurIPS), 2023
Gehua (Marcus) Ma
Runhao Jiang
Rui Yan
Huajin Tang
AI4TS
315
8
0
21 Jun 2023
GD-VDM: Generated Depth for better Diffusion-based Video Generation
GD-VDM: Generated Depth for better Diffusion-based Video Generation
Ariel Lapid
Idan Achituve
Lior Bracha
Ethan Fetaya
DiffMVGen
216
11
0
19 Jun 2023
Score-based Data Assimilation
Score-based Data AssimilationNeural Information Processing Systems (NeurIPS), 2023
Sacha Lewin
Gilles Louppe
400
69
0
18 Jun 2023
FALL-E: A Foley Sound Synthesis Model and Strategies
FALL-E: A Foley Sound Synthesis Model and Strategies
Minsung Kang
Sangshin Oh
Hyeongi Moon
Kyungyun Lee
Ben Sangbae Chon
236
6
0
16 Jun 2023
Understanding Deep Generative Models with Generalized Empirical
  Likelihoods
Understanding Deep Generative Models with Generalized Empirical LikelihoodsComputer Vision and Pattern Recognition (CVPR), 2023
Suman V. Ravuri
Mélanie Rey
S. Mohamed
M. Deisenroth
VLM
252
6
0
16 Jun 2023
ArtFusion: Controllable Arbitrary Style Transfer using Dual Conditional
  Latent Diffusion Models
ArtFusion: Controllable Arbitrary Style Transfer using Dual Conditional Latent Diffusion Models
Da Chen
DiffM
234
6
0
15 Jun 2023
Fast Training of Diffusion Models with Masked Transformers
Fast Training of Diffusion Models with Masked Transformers
Hongkai Zheng
Weili Nie
Arash Vahdat
Anima Anandkumar
DiffM
324
132
0
15 Jun 2023
On Certified Generalization in Structured Prediction
On Certified Generalization in Structured PredictionNeural Information Processing Systems (NeurIPS), 2023
Bastian Boll
Christoph Schnörr
276
0
0
15 Jun 2023
Annotator Consensus Prediction for Medical Image Segmentation with
  Diffusion Models
Annotator Consensus Prediction for Medical Image Segmentation with Diffusion ModelsInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
Tomer Amit
Shmuel Shichrur
Tal Shaharabany
Lior Wolf
MedImDiffM
201
16
0
15 Jun 2023
Training-free Diffusion Model Adaptation for Variable-Sized
  Text-to-Image Synthesis
Training-free Diffusion Model Adaptation for Variable-Sized Text-to-Image SynthesisNeural Information Processing Systems (NeurIPS), 2023
Zhiyu Jin
Xuli Shen
Bin Li
Xiangyang Xue
314
59
0
14 Jun 2023
High-Dimensional MR Reconstruction Integrating Subspace and Adaptive
  Generative Models
High-Dimensional MR Reconstruction Integrating Subspace and Adaptive Generative ModelsIEEE Transactions on Biomedical Engineering (IEEE Trans. Biomed. Eng.), 2023
Ruiyang Zhao
Xi Peng
Varun A. Kelkar
M. Anastasio
F. Lam
GANMedIm
215
5
0
14 Jun 2023
TryOnDiffusion: A Tale of Two UNets
TryOnDiffusion: A Tale of Two UNetsComputer Vision and Pattern Recognition (CVPR), 2023
Luyang Zhu
Dawei Yang
Tyler Lixuan Zhu
F. Reda
William Chan
Chitwan Saharia
Mohammad Norouzi
Ira Kemelmacher-Shlizerman
DiffM
249
156
0
14 Jun 2023
GBSD: Generative Bokeh with Stage Diffusion
GBSD: Generative Bokeh with Stage DiffusionIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Jieren Deng
Xiaoxia Zhou
Hao Tian
Zhihong Pan
Derek Aguiar
DiffM
256
1
0
14 Jun 2023
Generating Images with 3D Annotations Using Diffusion Models
Generating Images with 3D Annotations Using Diffusion ModelsInternational Conference on Learning Representations (ICLR), 2023
Wufei Ma
Qihao Liu
Jiahao Wang
Angtian Wang
Xiaoding Yuan
...
Ruxiao Duan
Yongrui Qi
Adam Kortylewski
Yaoyao Liu
Alan Yuille
DiffM
375
17
0
13 Jun 2023
DORSal: Diffusion for Object-centric Representations of Scenes et al
DORSal: Diffusion for Object-centric Representations of Scenes et alInternational Conference on Learning Representations (ICLR), 2023
Allan Jabri
Sjoerd van Steenkiste
Emiel Hoogeboom
Mehdi S. M. Sajjadi
Thomas Kipf
380
18
0
13 Jun 2023
VillanDiffusion: A Unified Backdoor Attack Framework for Diffusion
  Models
VillanDiffusion: A Unified Backdoor Attack Framework for Diffusion ModelsNeural Information Processing Systems (NeurIPS), 2023
Sheng-Yen Chou
Pin-Yu Chen
Tsung-Yi Ho
DiffM
388
75
0
12 Jun 2023
Grounded Text-to-Image Synthesis with Attention Refocusing
Grounded Text-to-Image Synthesis with Attention RefocusingComputer Vision and Pattern Recognition (CVPR), 2023
Quynh Phung
Songwei Ge
Jia-Bin Huang
DiffM
414
157
0
08 Jun 2023
PriSampler: Mitigating Property Inference of Diffusion Models
PriSampler: Mitigating Property Inference of Diffusion Models
Hailong Hu
Jun Pang
DiffM
316
5
0
08 Jun 2023
Multi-Architecture Multi-Expert Diffusion Models
Multi-Architecture Multi-Expert Diffusion ModelsAAAI Conference on Artificial Intelligence (AAAI), 2023
Yunsung Lee
Jin-Young Kim
Hyojun Go
Myeongho Jeong
Shinhyeok Oh
Seungtaek Choi
DiffM
361
38
0
08 Jun 2023
Designing a Better Asymmetric VQGAN for StableDiffusion
Designing a Better Asymmetric VQGAN for StableDiffusion
Zixin Zhu
Xuelu Feng
DongDong Chen
Jianmin Bao
Le Wang
Yinpeng Chen
Lu Yuan
Gang Hua
DiffM
237
55
0
07 Jun 2023
On the Design Fundamentals of Diffusion Models: A Survey
On the Design Fundamentals of Diffusion Models: A SurveyPattern Recognition (Pattern Recogn.), 2023
Ziyi Chang
George Alex Koulieris
Hyung Jin Chang
Hubert P. H. Shum
DiffM
652
81
0
07 Jun 2023
GCD-DDPM: A Generative Change Detection Model Based on
  Difference-Feature Guided DDPM
GCD-DDPM: A Generative Change Detection Model Based on Difference-Feature Guided DDPMIEEE Transactions on Geoscience and Remote Sensing (TGRS), 2023
Yihan Wen
Xianping Ma
Xiaokang Zhang
Man-On Pun
DiffM
168
69
0
06 Jun 2023
Brain Diffusion for Visual Exploration: Cortical Discovery using Large
  Scale Generative Models
Brain Diffusion for Visual Exploration: Cortical Discovery using Large Scale Generative ModelsNeural Information Processing Systems (NeurIPS), 2023
Andrew F. Luo
Margaret M. Henderson
Leila Wehbe
Michael J. Tarr
DiffM
229
36
0
05 Jun 2023
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
172
65
0
05 Jun 2023
Detector Guidance for Multi-Object Text-to-Image Generation
Detector Guidance for Multi-Object Text-to-Image Generation
Luping Liu
Zijian Zhang
Yi Ren
Rongjie Huang
Xiang Yin
Zhou Zhao
DiffM
184
12
0
04 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
192
7
0
02 Jun 2023
Conditioning Diffusion Models via Attributes and Semantic Masks for Face
  Generation
Conditioning Diffusion Models via Attributes and Semantic Masks for Face GenerationComputer Vision and Image Understanding (CVIU), 2023
Nico Giambi
G. Lisanti
DiffM
267
14
0
01 Jun 2023
ReFACT: Updating Text-to-Image Models by Editing the Text Encoder
ReFACT: Updating Text-to-Image Models by Editing the Text EncoderNorth American Chapter of the Association for Computational Linguistics (NAACL), 2023
Dana Arad
Hadas Orgad
Yonatan Belinkov
KELM
348
29
0
01 Jun 2023
DiffInDScene: Diffusion-based High-Quality 3D Indoor Scene Generation
DiffInDScene: Diffusion-based High-Quality 3D Indoor Scene GenerationComputer Vision and Pattern Recognition (CVPR), 2023
Xiaoliang Ju
Zhaoyang Huang
Yijin Li
Guofeng Zhang
Yu Qiao
Jiaming Song
348
18
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
593
31
0
01 Jun 2023
Diffusion Brush: A Latent Diffusion Model-based Editing Tool for
  AI-generated Images
Diffusion Brush: A Latent Diffusion Model-based Editing Tool for AI-generated Images
Peyman Gholami
R. Xiao
DiffM
263
3
0
31 May 2023
Building Manufacturing Deep Learning Models with Minimal and Imbalanced
  Training Data Using Domain Adaptation and Data Augmentation
Building Manufacturing Deep Learning Models with Minimal and Imbalanced Training Data Using Domain Adaptation and Data AugmentationInternational Conference on Industrial Technology (ICIT), 2023
A. Li
Elisa Bertino
Rih-Teng Wu
Ting Wu
177
6
0
31 May 2023
Conditionally Strongly Log-Concave Generative Models
Conditionally Strongly Log-Concave Generative ModelsInternational Conference on Machine Learning (ICML), 2023
Florentin Guth
Etienne Lempereur
Joan Bruna
S. Mallat
232
4
0
31 May 2023
RealignDiff: Boosting Text-to-Image Diffusion Model with Coarse-to-fine
  Semantic Re-alignment
RealignDiff: Boosting Text-to-Image Diffusion Model with Coarse-to-fine Semantic Re-alignmentIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Guian Fang
Zutao Jiang
Jianhua Han
Guangsong Lu
Hang Xu
Shengcai Liao
Xiaodan Liang
EGVM
171
2
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
PaintSeg: Training-free Segmentation via Painting
PaintSeg: Training-free Segmentation via Painting
Xiang Li
Chung-Ching Lin
Yinpeng Chen
Zicheng Liu
Jinglu Wang
Bhiksha Raj
387
8
0
30 May 2023
Ambient Diffusion: Learning Clean Distributions from Corrupted Data
Ambient Diffusion: Learning Clean Distributions from Corrupted DataNeural Information Processing Systems (NeurIPS), 2023
Giannis Daras
Kulin Shah
Y. Dagan
Aravind Gollakota
A. Dimakis
Adam R. Klivans
DiffM
375
103
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
Perturbation-Assisted Sample Synthesis: A Novel Approach for Uncertainty
  Quantification
Perturbation-Assisted Sample Synthesis: A Novel Approach for Uncertainty Quantification
Yifei Liu
Rex Shen
Xiaotong Shen
DiffM
332
1
0
30 May 2023
SAVE: Spectral-Shift-Aware Adaptation of Image Diffusion Models for
  Text-driven Video Editing
SAVE: Spectral-Shift-Aware Adaptation of Image Diffusion Models for Text-driven Video Editing
Nazmul Karim
Umar Khalid
M. Joneidi
Chen Chen
Nazanin Rahnavard
DiffMVGen
154
5
0
30 May 2023
GlyphControl: Glyph Conditional Control for Visual Text Generation
GlyphControl: Glyph Conditional Control for Visual Text GenerationNeural Information Processing Systems (NeurIPS), 2023
Yukang Yang
Dongnan Gui
Yuhui Yuan
Weicong Liang
Haisong Ding
Hang-Rui Hu
Kai Chen
DiffM
269
118
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
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