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2009.09761
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DiffWave: A Versatile Diffusion Model for Audio Synthesis
International Conference on Learning Representations (ICLR), 2020
21 September 2020
Zhifeng Kong
Ming-Yu Liu
Jiaji Huang
Kexin Zhao
Bryan Catanzaro
DiffM
BDL
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Papers citing
"DiffWave: A Versatile Diffusion Model for Audio Synthesis"
50 / 1,134 papers shown
Speak Foreign Languages with Your Own Voice: Cross-Lingual Neural Codec Language Modeling
Zi-Hua Zhang
Long Zhou
Chengyi Wang
Sanyuan Chen
Yu Wu
...
Huaming Wang
Jinyu Li
Lei He
Sheng Zhao
Furu Wei
VLM
330
239
0
07 Mar 2023
Consistency Models
International Conference on Machine Learning (ICML), 2023
Yang Song
Prafulla Dhariwal
Mark Chen
Ilya Sutskever
VLM
DiffM
490
1,427
0
02 Mar 2023
Defending against Adversarial Audio via Diffusion Model
International Conference on Learning Representations (ICLR), 2023
Shutong Wu
Zhenghao Hu
Ming-Yu Liu
Weili Nie
Chaowei Xiao
DiffM
214
32
0
02 Mar 2023
Understanding Diffusion Objectives as the ELBO with Simple Data Augmentation
Neural Information Processing Systems (NeurIPS), 2023
Diederik P. Kingma
Ruiqi Gao
DiffM
745
238
0
01 Mar 2023
Continuous-Time Functional Diffusion Processes
Neural Information Processing Systems (NeurIPS), 2023
Giulio Franzese
Dario Rossi
Simone Rossi
Markus Heinonen
Maurizio Filippone
Pietro Michiardi
450
34
0
01 Mar 2023
Synthesizing Mixed-type Electronic Health Records using Diffusion Models
T. Ceritli
Ghadeer O. Ghosheh
V. Chauhan
T. Zhu
Andrew P. Creagh
David Clifton
MedIm
DiffM
244
22
0
28 Feb 2023
Imaginary Voice: Face-styled Diffusion Model for Text-to-Speech
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Jiyoung Lee
Joon Son Chung
Soo-Whan Chung
DiffM
222
46
0
27 Feb 2023
Denoising diffusion algorithm for inverse design of microstructures with fine-tuned nonlinear material properties
Computer Methods in Applied Mechanics and Engineering (CMAME), 2023
Nikolaos N. Vlassis
WaiChing Sun
AI4CE
DiffM
292
72
0
24 Feb 2023
DiffusioNeRF: Regularizing Neural Radiance Fields with Denoising Diffusion Models
Computer Vision and Pattern Recognition (CVPR), 2023
Jamie M. Wynn
Daniyar Turmukhambetov
DiffM
AI4CE
279
142
0
23 Feb 2023
Metric-oriented Speech Enhancement using Diffusion Probabilistic Model
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Chen Chen
Yuchen Hu
Weiwei Weng
Chng Eng Siong
DiffM
209
21
0
23 Feb 2023
DINOISER: Diffused Conditional Sequence Learning by Manipulating Noises
Jiasheng Ye
Zaixiang Zheng
Yu Bao
Lihua Qian
Mingxuan Wang
DiffM
350
56
0
20 Feb 2023
PriSTI: A Conditional Diffusion Framework for Spatiotemporal Imputation
IEEE International Conference on Data Engineering (ICDE), 2023
Mingzhe Liu
Han Huang
Hao Feng
Leilei Sun
Bowen Du
Yanjie Fu
DiffM
170
99
0
20 Feb 2023
Infinite-Dimensional Diffusion Models
Jakiw Pidstrigach
Youssef Marzouk
Sebastian Reich
Sven Wang
485
24
0
20 Feb 2023
Exposing AI-Synthesized Human Voices Using Neural Vocoder Artifacts
Chengzhe Sun
Shan Jia
Shuwei Hou
Ehab AlBadawy
Siwei Lyu
215
4
0
18 Feb 2023
Consistent Diffusion Models: Mitigating Sampling Drift by Learning to be Consistent
Neural Information Processing Systems (NeurIPS), 2023
Giannis Daras
Y. Dagan
A. Dimakis
C. Daskalakis
DiffM
274
61
0
17 Feb 2023
LDFA: Latent Diffusion Face Anonymization for Self-driving Applications
Marvin Klemp
Kevin Rösch
Royden Wagner
Jannik Quehl
Martin Lauer
DiffM
184
31
0
17 Feb 2023
Boundary Guided Learning-Free Semantic Control with Diffusion Models
Neural Information Processing Systems (NeurIPS), 2023
Ye Zhu
Yuehua Wu
Zhiwei Deng
Olga Russakovsky
Yan Yan
DiffM
322
33
0
16 Feb 2023
Video Probabilistic Diffusion Models in Projected Latent Space
Computer Vision and Pattern Recognition (CVPR), 2023
Sihyun Yu
Kihyuk Sohn
Subin Kim
Jinwoo Shin
VGen
DiffM
322
202
0
15 Feb 2023
Score-based Diffusion Models in Function Space
Jae Hyun Lim
Nikola B. Kovachki
Ricardo Baptista
Christopher Beckham
Kamyar Azizzadenesheli
...
Karsten Kreis
Jan Kautz
Christopher Pal
Arash Vahdat
Anima Anandkumar
DiffM
695
69
0
14 Feb 2023
Where to Diffuse, How to Diffuse, and How to Get Back: Automated Learning for Multivariate Diffusions
International Conference on Learning Representations (ICLR), 2023
Raghav Singhal
Mark Goldstein
Rajesh Ranganath
DiffM
272
26
0
14 Feb 2023
Universal Guidance for Diffusion Models
Arpit Bansal
Hong-Min Chu
Avi Schwarzschild
Soumyadip Sengupta
Micah Goldblum
Jonas Geiping
Tom Goldstein
VLM
265
376
0
14 Feb 2023
Diffusion Models in Bioinformatics: A New Wave of Deep Learning Revolution in Action
Zhiye Guo
Jian Liu
Yanli Wang
Mengrui Chen
Duolin Wang
Dong Xu
Jianlin Cheng
MedIm
AI4CE
DiffM
230
26
0
13 Feb 2023
Preconditioned Score-based Generative Models
International Journal of Computer Vision (IJCV), 2023
He Ma
Xiatian Zhu
Xiatian Zhu
Jianfeng Feng
DiffM
307
7
0
13 Feb 2023
A Reparameterized Discrete Diffusion Model for Text Generation
Lin Zheng
Jianbo Yuan
Lei Yu
Lingpeng Kong
DiffM
285
114
0
11 Feb 2023
Geometry-Complete Diffusion for 3D Molecule Generation and Optimization
Communications Chemistry (Commun. Chem.), 2023
Alex Morehead
Jianlin Cheng
DiffM
483
59
0
08 Feb 2023
PFGM++: Unlocking the Potential of Physics-Inspired Generative Models
International Conference on Machine Learning (ICML), 2023
Yilun Xu
Ziming Liu
Yonglong Tian
Shangyuan Tong
Max Tegmark
Tommi Jaakkola
AI4CE
DiffM
238
88
0
08 Feb 2023
Noise2Music: Text-conditioned Music Generation with Diffusion Models
Qingqing Huang
Daniel S. Park
Tao Wang
Timo I. Denk
Andy Ly
...
Jesse Engel
Quoc V. Le
William Chan
Zhifeng Chen
Wei Han
MGen
DiffM
346
245
0
08 Feb 2023
HumanMAC: Masked Motion Completion for Human Motion Prediction
IEEE International Conference on Computer Vision (ICCV), 2023
Ling-Hao Chen
Jiawei Zhang
Ye-rong Li
Yiren Pang
Xiaobo Xia
Tongliang Liu
DiffM
VGen
314
98
0
07 Feb 2023
DDM
2
^2
2
: Self-Supervised Diffusion MRI Denoising with Generative Diffusion Models
International Conference on Learning Representations (ICLR), 2023
Tiange Xiang
Mahmut Yurt
Ali B. Syed
Kawin Setsompop
Akshay S. Chaudhari
MedIm
DiffM
347
70
0
06 Feb 2023
Diffusion Model for Generative Image Denoising
Yutong Xie
Minne Yuan
Bin Dong
Shijie Zhao
DiffM
175
38
0
05 Feb 2023
Multi-Source Diffusion Models for Simultaneous Music Generation and Separation
International Conference on Learning Representations (ICLR), 2023
Giorgio Mariani
Irene Tallini
Emilian Postolache
Michele Mancusi
Luca Cosmo
Emanuele Rodolà
DiffM
568
65
0
04 Feb 2023
A Lipschitz Bandits Approach for Continuous Hyperparameter Optimization
Yasong Feng
Weijian Luo
Yimin Huang
Tianyu Wang
299
9
0
03 Feb 2023
Are Diffusion Models Vulnerable to Membership Inference Attacks?
International Conference on Machine Learning (ICML), 2023
Jinhao Duan
Fei Kong
Shiqi Wang
Xiaoshuang Shi
Kaidi Xu
221
156
0
02 Feb 2023
A Theoretical Justification for Image Inpainting using Denoising Diffusion Probabilistic Models
Litu Rout
Advait Parulekar
Constantine Caramanis
Sanjay Shakkottai
DiffM
169
58
0
02 Feb 2023
InstructTTS: Modelling Expressive TTS in Discrete Latent Space with Natural Language Style Prompt
IEEE/ACM Transactions on Audio Speech and Language Processing (TASLP), 2023
Dongchao Yang
Songxiang Liu
Rongjie Huang
Chao Weng
Helen Meng
DiffM
VLM
224
139
0
31 Jan 2023
DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion Models
Haomin Wen
Youfang Lin
Yutong Xia
Huaiyu Wan
Qingsong Wen
Roger Zimmermann
Yuxuan Liang
DiffM
354
143
0
31 Jan 2023
AudioLDM: Text-to-Audio Generation with Latent Diffusion Models
International Conference on Machine Learning (ICML), 2023
Haohe Liu
Zehua Chen
Yiitan Yuan
Xinhao Mei
Xubo Liu
Danilo Mandic
Wenwu Wang
Mark D. Plumbley
DiffM
726
665
0
29 Jan 2023
Simple diffusion: End-to-end diffusion for high resolution images
International Conference on Machine Learning (ICML), 2023
Emiel Hoogeboom
Jonathan Heek
Tim Salimans
394
352
0
26 Jan 2023
Separate And Diffuse: Using a Pretrained Diffusion Model for Improving Source Separation
Shahar Lutati
Eliya Nachmani
Lior Wolf
DiffM
211
18
0
25 Jan 2023
Imitating Human Behaviour with Diffusion Models
International Conference on Learning Representations (ICLR), 2023
Tim Pearce
Tabish Rashid
Anssi Kanervisto
David Bignell
Mingfei Sun
...
Sergio Valcarcel Macua
Shan Zheng Tan
Ida Momennejad
Katja Hofmann
Sam Devlin
DiffM
363
262
0
25 Jan 2023
Membership Inference of Diffusion Models
Hailong Hu
Jun Pang
181
47
0
24 Jan 2023
DiffSDS: A language diffusion model for protein backbone inpainting under geometric conditions and constraints
Zhangyang Gao
Cheng Tan
Stan Z. Li
DiffM
178
23
0
22 Jan 2023
Diffusion-based Conditional ECG Generation with Structured State Space Models
Juan Miguel Lopez Alcaraz
Nils Strodthoff
DiffM
208
77
0
19 Jan 2023
A Transformer-based Diffusion Probabilistic Model for Heart Rate and Blood Pressure Forecasting in Intensive Care Unit
Ping Chang
Huayu Li
S. Quan
Shuyang Lu
Shu-Fen Wung
Janet Roveda
Ao Li
DiffM
478
26
0
16 Jan 2023
Msanii: High Fidelity Music Synthesis on a Shoestring Budget
Kinyugo Maina
182
9
0
16 Jan 2023
Thompson Sampling with Diffusion Generative Prior
International Conference on Machine Learning (ICML), 2023
Yu-Guan Hsieh
S. Kasiviswanathan
Branislav Kveton
Patrick Blobaum
DiffM
250
6
0
12 Jan 2023
Speech Driven Video Editing via an Audio-Conditioned Diffusion Model
Image and Vision Computing (IVC), 2023
Dan Bigioi
Shubhajit Basak
Michał Stypułkowski
Maciej Ziȩba
H. Jordan
R. Mcdonnell
Peter Corcoran
DiffM
VGen
314
42
0
10 Jan 2023
ResGrad: Residual Denoising Diffusion Probabilistic Models for Text to Speech
Ze Chen
Yihan Wu
Yichong Leng
Jiawei Chen
Haohe Liu
...
Ke Wang
Lei He
Sheng Zhao
Jiang Bian
Danilo Mandic
DiffM
219
25
0
30 Dec 2022
Unsupervised Representation Learning from Pre-trained Diffusion Probabilistic Models
Neural Information Processing Systems (NeurIPS), 2022
Zijian Zhang
Zhou Zhao
Zhijie Lin
DiffM
325
69
0
26 Dec 2022
Your diffusion model secretly knows the dimension of the data manifold
Jan Stanczuk
Georgios Batzolis
Teo Deveney
Carola-Bibiane Schönlieb
DiffM
272
36
0
23 Dec 2022
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