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A Survey on Generative Diffusion Model

A Survey on Generative Diffusion Model

6 September 2022
Hanqun Cao
Cheng Tan
Zhangyang Gao
Yilun Xu
Guangyong Chen
Pheng-Ann Heng
Stan Z. Li
    MedIm
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Papers citing "A Survey on Generative Diffusion Model"

23 / 73 papers shown
Title
Improved Vector Quantized Diffusion Models
Improved Vector Quantized Diffusion Models
Zhicong Tang
Shuyang Gu
Jianmin Bao
Dong Chen
Fang Wen
DiffM
187
63
0
31 May 2022
Few-Shot Diffusion Models
Few-Shot Diffusion Models
Giorgio Giannone
Didrik Nielsen
Ole Winther
DiffM
186
49
0
30 May 2022
Guided-TTS 2: A Diffusion Model for High-quality Adaptive Text-to-Speech
  with Untranscribed Data
Guided-TTS 2: A Diffusion Model for High-quality Adaptive Text-to-Speech with Untranscribed Data
Sungwon Kim
Heeseung Kim
Sung-Hoon Yoon
DiffM
204
52
0
30 May 2022
A Continuous Time Framework for Discrete Denoising Models
A Continuous Time Framework for Discrete Denoising Models
Andrew Campbell
Joe Benton
Valentin De Bortoli
Tom Rainforth
George Deligiannidis
Arnaud Doucet
DiffM
197
135
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 Synthesis
Yichong Leng
Zehua Chen
Junliang Guo
Haohe Liu
Jiawei Chen
...
Lei He
Xiang-Yang Li
Tao Qin
Sheng Zhao
Tie-Yan Liu
DiffM
53
58
0
30 May 2022
Diffusion-LM Improves Controllable Text Generation
Diffusion-LM Improves Controllable Text Generation
Xiang Lisa Li
John Thickstun
Ishaan Gulrajani
Percy Liang
Tatsunori B. Hashimoto
AI4CE
173
781
0
27 May 2022
Maximum Likelihood Training of Implicit Nonlinear Diffusion Models
Maximum Likelihood Training of Implicit Nonlinear Diffusion Models
Dongjun Kim
Byeonghu Na
S. Kwon
Dongsoo Lee
Wanmo Kang
Il-Chul Moon
DiffM
213
52
0
27 May 2022
Protein Structure and Sequence Generation with Equivariant Denoising
  Diffusion Probabilistic Models
Protein Structure and Sequence Generation with Equivariant Denoising Diffusion Probabilistic Models
N. Anand
Tudor Achim
DiffM
196
173
0
26 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
195
92
0
25 May 2022
Flexible Diffusion Modeling of Long Videos
Flexible Diffusion Modeling of Long Videos
William Harvey
Saeid Naderiparizi
Vaden Masrani
Christian D. Weilbach
Frank Wood
DiffM
BDL
VGen
176
287
0
23 May 2022
Riemannian Score-Based Generative Modelling
Riemannian Score-Based Generative Modelling
Valentin De Bortoli
Emile Mathieu
M. Hutchinson
James Thornton
Yee Whye Teh
Arnaud Doucet
DiffM
225
165
0
06 Feb 2022
Denoising Diffusion Restoration Models
Denoising Diffusion Restoration Models
Bahjat Kawar
Michael Elad
Stefano Ermon
Jiaming Song
DiffM
220
791
0
27 Jan 2022
Unsupervised Denoising of Retinal OCT with Diffusion Probabilistic Model
Unsupervised Denoising of Retinal OCT with Diffusion Probabilistic Model
Dewei Hu
Yuankai K. Tao
I. Oguz
DiffM
MedIm
158
43
0
27 Jan 2022
RePaint: Inpainting using Denoising Diffusion Probabilistic Models
RePaint: Inpainting using Denoising Diffusion Probabilistic Models
Andreas Lugmayr
Martin Danelljan
Andrés Romero
Feng Yu
Radu Timofte
Luc Van Gool
DiffM
233
1,358
0
24 Jan 2022
A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud
  Completion
A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud Completion
Zhaoyang Lyu
Zhifeng Kong
Xudong Xu
Liang Pan
Dahua Lin
DiffM
BDL
227
121
0
07 Dec 2021
Label-Efficient Semantic Segmentation with Diffusion Models
Label-Efficient Semantic Segmentation with Diffusion Models
Dmitry Baranchuk
Ivan Rubachev
A. Voynov
Valentin Khrulkov
Artem Babenko
DiffM
VLM
195
519
0
06 Dec 2021
Palette: Image-to-Image Diffusion Models
Palette: Image-to-Image Diffusion Models
Chitwan Saharia
William Chan
Huiwen Chang
Chris A. Lee
Jonathan Ho
Tim Salimans
David J. Fleet
Mohammad Norouzi
DiffM
VLM
366
1,597
0
10 Nov 2021
Crystal Diffusion Variational Autoencoder for Periodic Material
  Generation
Crystal Diffusion Variational Autoencoder for Periodic Material Generation
Tian Xie
Xiang Fu
O. Ganea
Regina Barzilay
Tommi Jaakkola
DiffM
BDL
212
233
0
12 Oct 2021
EdiTTS: Score-based Editing for Controllable Text-to-Speech
EdiTTS: Score-based Editing for Controllable Text-to-Speech
Jaesung Tae
Hyeongju Kim
Taesu Kim
DiffM
173
39
0
06 Oct 2021
Diffusion Probabilistic Models for 3D Point Cloud Generation
Diffusion Probabilistic Models for 3D Point Cloud Generation
Shitong Luo
Wei Hu
3DPC
180
726
0
02 Mar 2021
Argmax Flows and Multinomial Diffusion: Learning Categorical
  Distributions
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions
Emiel Hoogeboom
Didrik Nielsen
P. Jaini
Patrick Forré
Max Welling
DiffM
222
396
0
10 Feb 2021
Knowledge Distillation in Iterative Generative Models for Improved
  Sampling Speed
Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed
Eric Luhman
Troy Luhman
DiffM
195
260
0
07 Jan 2021
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
306
10,378
0
12 Dec 2018
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