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2106.15282
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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
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Papers citing
"Cascaded Diffusion Models for High Fidelity Image Generation"
50 / 964 papers shown
SinDiffusion: Learning a Diffusion Model from a Single Natural Image
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
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Jianmin Bao
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Dongdong Chen
Dong Chen
Lu Yuan
Houqiang Li
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185
61
0
22 Nov 2022
DiffDreamer: Towards Consistent Unsupervised Single-view Scene Extrapolation with Conditional Diffusion Models
IEEE International Conference on Computer Vision (ICCV), 2022
Shengqu Cai
E. R. Chan
Songyou Peng
Mohamad Shahbazi
Anton Obukhov
Luc Van Gool
Gordon Wetzstein
DiffM
209
52
0
22 Nov 2022
SinFusion: Training Diffusion Models on a Single Image or Video
International Conference on Machine Learning (ICML), 2022
Yaniv Nikankin
Niv Haim
Michal Irani
VGen
377
77
0
21 Nov 2022
MagicVideo: Efficient Video Generation With Latent Diffusion Models
Daquan Zhou
Weimin Wang
Hanshu Yan
Weiwei Lv
Yizhe Zhu
Jiashi Feng
DiffM
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394
467
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20 Nov 2022
RenderDiffusion: Image Diffusion for 3D Reconstruction, Inpainting and Generation
Computer Vision and Pattern Recognition (CVPR), 2022
Titas Anciukevicius
Zexiang Xu
Matthew Fisher
Paul Henderson
Hakan Bilen
Niloy J. Mitra
Paul Guerrero
279
201
0
17 Nov 2022
InstructPix2Pix: Learning to Follow Image Editing Instructions
Computer Vision and Pattern Recognition (CVPR), 2022
Tim Brooks
Aleksander Holynski
Alexei A. Efros
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860
2,497
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17 Nov 2022
Conffusion: Confidence Intervals for Diffusion Models
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Yedid Hoshen
DiffM
209
33
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17 Nov 2022
Versatile Diffusion: Text, Images and Variations All in One Diffusion Model
IEEE International Conference on Computer Vision (ICCV), 2022
Xingqian Xu
Zinan Lin
Eric Zhang
Kai Wang
Humphrey Shi
DiffM
555
244
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15 Nov 2022
Will Large-scale Generative Models Corrupt Future Datasets?
IEEE International Conference on Computer Vision (ICCV), 2022
Ryuichiro Hataya
Han Bao
Hiromi Arai
239
72
0
15 Nov 2022
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Royal Society Open Science (RSOS), 2022
Michael J. Smith
James E. Geach
203
48
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Few-shot Image Generation with Diffusion Models
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Huimin Ma
Jiansheng Chen
Jian Yuan
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298
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eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers
Yogesh Balaji
Seungjun Nah
Xun Huang
Arash Vahdat
Jiaming Song
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Timo Aila
S. Laine
Bryan Catanzaro
Tero Karras
Xuan Li
VLM
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618
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02 Nov 2022
DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models
Machine Intelligence Research (MIR), 2022
Cheng Lu
Yuhao Zhou
Fan Bao
Jianfei Chen
Chongxuan Li
Jun Zhu
DiffM
821
830
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02 Nov 2022
Language Control Diffusion: Efficiently Scaling through Space, Time, and Tasks
International Conference on Learning Representations (ICLR), 2022
Edwin Zhang
Yujie Lu
William Wang
Amy Zhang
DiffM
LM&Ro
247
26
0
27 Oct 2022
From Points to Functions: Infinite-dimensional Representations in Diffusion Models
Sarthak Mittal
Guillaume Lajoie
Stefan Bauer
Arash Mehrjou
DiffM
163
31
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25 Oct 2022
High-Resolution Image Editing via Multi-Stage Blended Diffusion
J. Ackermann
Minjun Li
DiffM
143
16
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24 Oct 2022
Optimizing Hierarchical Image VAEs for Sample Quality
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Troy Luhman
DRL
173
5
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Differentially Private Diffusion Models
Tim Dockhorn
Tianshi Cao
Arash Vahdat
Karsten Kreis
DiffM
478
129
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18 Oct 2022
Swinv2-Imagen: Hierarchical Vision Transformer Diffusion Models for Text-to-Image Generation
Rui Li
Weihua Li
Yi Yang
Hanyu Wei
Jianhua Jiang
Quan-wei Bai
DiffM
369
17
0
18 Oct 2022
Deep Data Augmentation for Weed Recognition Enhancement: A Diffusion Probabilistic Model and Transfer Learning Based Approach
Dong Chen
Xinda Qi
Yu Zheng
Yuzhen Lu
Zhao Li
DiffM
256
16
0
18 Oct 2022
CNT (Conditioning on Noisy Targets): A new Algorithm for Leveraging Top-Down Feedback
Alexia Jolicoeur-Martineau
Alex Lamb
Vikas Verma
Aniket Didolkar
NoLa
332
0
0
18 Oct 2022
Imagic: Text-Based Real Image Editing with Diffusion Models
Computer Vision and Pattern Recognition (CVPR), 2022
Bahjat Kawar
Shiran Zada
Oran Lang
Omer Tov
Hui-Tang Chang
Tali Dekel
Inbar Mosseri
Michal Irani
577
1,332
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17 Oct 2022
Is synthetic data from generative models ready for image recognition?
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Ruifei He
Shuyang Sun
Xin Yu
Chuhui Xue
Wenqing Zhang
Juil Sock
Song Bai
Xiaojuan Qi
484
376
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14 Oct 2022
Hierarchical Diffusion Models for Singing Voice Neural Vocoder
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Naoya Takahashi
Mayank Kumar
Singh
Yuki Mitsufuji
DiffM
287
18
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14 Oct 2022
LION: Latent Point Diffusion Models for 3D Shape Generation
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Fangyin Wei
Arash Vahdat
Francis Williams
Zan Gojcic
Or Litany
Sanja Fidler
Karsten Kreis
DiffM
354
624
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12 Oct 2022
3D Brain and Heart Volume Generative Models: A Survey
ACM Computing Surveys (ACM CSUR), 2022
Yanbin Liu
Girish Dwivedi
F. Boussaïd
Bennamoun
MedIm
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338
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GENIE: Higher-Order Denoising Diffusion Solvers
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Tim Dockhorn
Arash Vahdat
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DiffM
331
140
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f-DM: A Multi-stage Diffusion Model via Progressive Signal Transformation
Jiatao Gu
Shuangfei Zhai
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Miguel Angel Bautista
J. Susskind
DiffM
221
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Sequential Neural Score Estimation: Likelihood-Free Inference with Conditional Score Based Diffusion Models
International Conference on Machine Learning (ICML), 2022
Louis Sharrock
J. Simons
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Mark Beaumont
DiffM
293
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On Distillation of Guided Diffusion Models
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Chenlin Meng
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255
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Imagen Video: High Definition Video Generation with Diffusion Models
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William Chan
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314
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Ye Zhu
Yuehua Wu
Andrii Zadaianchuk
Yan Yan
361
38
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Improving Sample Quality of Diffusion Models Using Self-Attention Guidance
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Susung Hong
Gyuseong Lee
Wooseok Jang
Seung Wook Kim
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529
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OCD: Learning to Overfit with Conditional Diffusion Models
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Shahar Lutati
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DiffM
347
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Re-Imagen: Retrieval-Augmented Text-to-Image Generator
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Spectral Diffusion Processes
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281
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All are Worth Words: A ViT Backbone for Diffusion Models
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Fan Bao
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