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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"
35 / 1,135 papers shown
Non Gaussian Denoising Diffusion Models
Eliya Nachmani
Robin San Roman
Lior Wolf
VLM
DiffM
164
60
0
14 Jun 2021
CRASH: Raw Audio Score-based Generative Modeling for Controllable High-resolution Drum Sound Synthesis
International Society for Music Information Retrieval Conference (ISMIR), 2021
Simon Rouard
Gaëtan Hadjeres
DiffM
159
44
0
14 Jun 2021
PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior
International Conference on Learning Representations (ICLR), 2021
Sang-gil Lee
Heeseung Kim
Chaehun Shin
Xu Tan
Yu Xie
Qi Meng
Tao Qin
Wei Chen
Sung-Hoon Yoon
Tie-Yan Liu
DiffM
289
110
0
11 Jun 2021
Score-based Generative Modeling in Latent Space
Neural Information Processing Systems (NeurIPS), 2021
Arash Vahdat
Karsten Kreis
Jan Kautz
DiffM
443
808
0
10 Jun 2021
Learning to Efficiently Sample from Diffusion Probabilistic Models
Daniel Watson
Jonathan Ho
Mohammad Norouzi
William Chan
DiffM
336
153
0
07 Jun 2021
A Variational Perspective on Diffusion-Based Generative Models and Score Matching
Neural Information Processing Systems (NeurIPS), 2021
Chin-Wei Huang
Jae Hyun Lim
Aaron Courville
DiffM
304
229
0
05 Jun 2021
Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling
Neural Information Processing Systems (NeurIPS), 2021
Valentin De Bortoli
James Thornton
J. Heng
Arnaud Doucet
DiffM
OT
554
606
0
01 Jun 2021
On Fast Sampling of Diffusion Probabilistic Models
Zhifeng Kong
Ming-Yu Liu
DiffM
264
220
0
31 May 2021
Cascaded Diffusion Models for High Fidelity Image Generation
Journal of machine learning research (JMLR), 2021
Jonathan Ho
Chitwan Saharia
William Chan
David J. Fleet
Mohammad Norouzi
Tim Salimans
824
1,500
0
30 May 2021
Diffusion-Based Representation Learning
International Conference on Machine Learning (ICML), 2021
K. Abstreiter
Sarthak Mittal
Stefan Bauer
Bernhard Schölkopf
Arash Mehrjou
DiffM
219
68
0
29 May 2021
Gotta Go Fast When Generating Data with Score-Based Models
Alexia Jolicoeur-Martineau
Ke Li
Remi Piche-Taillefer
Tal Kachman
Ioannis Mitliagkas
DiffM
305
255
0
28 May 2021
DiffSVC: A Diffusion Probabilistic Model for Singing Voice Conversion
Automatic Speech Recognition & Understanding (ASRU), 2021
Songxiang Liu
Yuewen Cao
Jane Polak Scowcroft
Helen Meng
DiffM
181
75
0
28 May 2021
Parallel and Flexible Sampling from Autoregressive Models via Langevin Dynamics
International Conference on Machine Learning (ICML), 2021
V. Jayaram
John Thickstun
DiffM
229
26
0
17 May 2021
ItôTTS and ItôWave: Linear Stochastic Differential Equation Is All You Need For Audio Generation
Shoule Wu
Ziqiang Shi
DiffM
289
11
0
17 May 2021
Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speech
International Conference on Machine Learning (ICML), 2021
Vadim Popov
Ivan Vovk
Vladimir Gogoryan
Tasnima Sadekova
Mikhail Kudinov
DiffM
438
666
0
13 May 2021
Diffusion Models Beat GANs on Image Synthesis
Neural Information Processing Systems (NeurIPS), 2021
Prafulla Dhariwal
Alex Nichol
3.1K
10,466
0
11 May 2021
DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism
AAAI Conference on Artificial Intelligence (AAAI), 2021
Jinglin Liu
Chengxi Li
Yi Ren
Feiyang Chen
Zhou Zhao
DiffM
534
326
0
06 May 2021
SRDiff: Single Image Super-Resolution with Diffusion Probabilistic Models
Haoying Li
Yifan Yang
Meng Chang
H. Feng
Zhi-hai Xu
Qi Li
Yue-ting Chen
DiffM
383
773
0
30 Apr 2021
Restoring degraded speech via a modified diffusion model
Interspeech (Interspeech), 2021
Jianwei Zhang
Suren Jayasuriya
Visar Berisha
DiffM
204
21
0
22 Apr 2021
Review of end-to-end speech synthesis technology based on deep learning
Zhaoxi Mu
Xinyu Yang
Yizhuo Dong
AuLLM
ALM
216
31
0
20 Apr 2021
On tuning consistent annealed sampling for denoising score matching
Joan Serrà
Santiago Pascual
Jordi Pons
DiffM
196
6
0
08 Apr 2021
Creativity and Machine Learning: A Survey
ACM Computing Surveys (CSUR), 2021
Giorgio Franceschelli
Mirco Musolesi
VLM
AI4CE
556
56
0
06 Apr 2021
Noise Estimation for Generative Diffusion Models
Robin San-Roman
Eliya Nachmani
Lior Wolf
DiffM
347
119
0
06 Apr 2021
NU-Wave: A Diffusion Probabilistic Model for Neural Audio Upsampling
Interspeech (Interspeech), 2021
Junhyeok Lee
Seungu Han
DiffM
233
91
0
06 Apr 2021
Diff-TTS: A Denoising Diffusion Model for Text-to-Speech
Interspeech (Interspeech), 2021
Myeonghun Jeong
Hyeongju Kim
Sung Jun Cheon
Byoung Jin Choi
N. Kim
DiffM
239
219
0
03 Apr 2021
Symbolic Music Generation with Diffusion Models
International Society for Music Information Retrieval Conference (ISMIR), 2021
Gautam Mittal
Jesse Engel
Curtis Hawthorne
Ian Simon
MGen
DiffM
332
223
0
30 Mar 2021
GAN Vocoder: Multi-Resolution Discriminator Is All You Need
Interspeech (Interspeech), 2021
J. You
Dalhyun Kim
Gyuhyeon Nam
Geumbyeol Hwang
Gyeongsu Chae
204
32
0
09 Mar 2021
Improved Denoising Diffusion Probabilistic Models
International Conference on Machine Learning (ICML), 2021
Alex Nichol
Prafulla Dhariwal
DiffM
855
4,791
0
18 Feb 2021
Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting
International Conference on Machine Learning (ICML), 2021
Kashif Rasul
Calvin Seward
Ingmar Schuster
Roland Vollgraf
DiffM
410
442
0
28 Jan 2021
Maximum Likelihood Training of Score-Based Diffusion Models
Neural Information Processing Systems (NeurIPS), 2021
Yang Song
Conor Durkan
Iain Murray
Stefano Ermon
DiffM
801
806
0
22 Jan 2021
How to Train Your Energy-Based Models
Yang Song
Diederik P. Kingma
DiffM
385
308
0
09 Jan 2021
Learning Energy-Based Models by Diffusion Recovery Likelihood
International Conference on Learning Representations (ICLR), 2020
Ruiqi Gao
Yang Song
Ben Poole
Ying Nian Wu
Diederik P. Kingma
DiffM
346
139
0
15 Dec 2020
Score-Based Generative Modeling through Stochastic Differential Equations
International Conference on Learning Representations (ICLR), 2020
Yang Song
Jascha Narain Sohl-Dickstein
Diederik P. Kingma
Abhishek Kumar
Stefano Ermon
Ben Poole
DiffM
SyDa
2.2K
8,952
0
26 Nov 2020
Diffusion models for Handwriting Generation
Troy Luhman
Eric Luhman
DiffM
173
29
0
13 Nov 2020
WaveGrad: Estimating Gradients for Waveform Generation
International Conference on Learning Representations (ICLR), 2020
Nanxin Chen
Yu Zhang
Heiga Zen
Ron J. Weiss
Mohammad Norouzi
William Chan
DiffM
BDL
420
893
0
02 Sep 2020
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