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1711.02282
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Variational Walkback: Learning a Transition Operator as a Stochastic Recurrent Net
7 November 2017
Anirudh Goyal
Nan Rosemary Ke
Surya Ganguli
Yoshua Bengio
DiffM
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Papers citing
"Variational Walkback: Learning a Transition Operator as a Stochastic Recurrent Net"
16 / 16 papers shown
Title
Audio is all in one: speech-driven gesture synthetics using WavLM pre-trained model
Fan Zhang
Naye Ji
Fuxing Gao
Siyuan Zhao
Zhaohan Wang
Shunman Li
24
0
0
11 Aug 2023
Traditional Classification Neural Networks are Good Generators: They are Competitive with DDPMs and GANs
Guangrun Wang
Philip H. S. Torr
28
8
0
27 Nov 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications
Ling Yang
Zhilong Zhang
Yingxia Shao
Shenda Hong
Runsheng Xu
Yue Zhao
Wentao Zhang
Bin Cui
Ming-Hsuan Yang
DiffM
MedIm
224
1,302
0
02 Sep 2022
A Continuous Time Framework for Discrete Denoising Models
Andrew Campbell
Joe Benton
Valentin De Bortoli
Tom Rainforth
George Deligiannidis
Arnaud Doucet
DiffM
183
134
0
30 May 2022
Signature and Log-signature for the Study of Empirical Distributions Generated with GANs
J. Curtò
I. D. Zarzà
Hong-Mei Yan
Carlos T. Calafate
16
1
0
07 Mar 2022
A Variational Perspective on Diffusion-Based Generative Models and Score Matching
Chin-Wei Huang
Jae Hyun Lim
Aaron Courville
DiffM
32
186
0
05 Jun 2021
Diffusion Models Beat GANs on Image Synthesis
Prafulla Dhariwal
Alex Nichol
78
7,410
0
11 May 2021
Learning to Generate 3D Shapes with Generative Cellular Automata
Dongsu Zhang
Changwoon Choi
Jeonghwan Kim
Y. Kim
23
24
0
06 Mar 2021
Improved Denoising Diffusion Probabilistic Models
Alex Nichol
Prafulla Dhariwal
DiffM
60
3,511
0
18 Feb 2021
Score-Based Generative Modeling through Stochastic Differential Equations
Yang Song
Jascha Narain Sohl-Dickstein
Diederik P. Kingma
Abhishek Kumar
Stefano Ermon
Ben Poole
DiffM
SyDa
10
6,045
0
26 Nov 2020
Denoising Diffusion Implicit Models
Jiaming Song
Chenlin Meng
Stefano Ermon
VLM
DiffM
56
6,932
0
06 Oct 2020
DiffWave: A Versatile Diffusion Model for Audio Synthesis
Zhifeng Kong
Wei Ping
Jiaji Huang
Kexin Zhao
Bryan Catanzaro
DiffM
BDL
23
1,387
0
21 Sep 2020
Adversarial score matching and improved sampling for image generation
Alexia Jolicoeur-Martineau
Remi Piche-Taillefer
Rémi Tachet des Combes
Ioannis Mitliagkas
DiffM
24
124
0
11 Sep 2020
Denoising Diffusion Probabilistic Models
Jonathan Ho
Ajay Jain
Pieter Abbeel
DiffM
116
16,915
0
19 Jun 2020
On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models
Erik Nijkamp
Mitch Hill
Tian Han
Song-Chun Zhu
Ying Nian Wu
19
151
0
29 Mar 2019
Variational Autoencoder with Arbitrary Conditioning
Oleg Ivanov
Michael Figurnov
Dmitry Vetrov
BDL
DRL
13
144
0
06 Jun 2018
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