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Learning to Generate Samples from Noise through Infusion Training

Learning to Generate Samples from Noise through Infusion Training

20 March 2017
Florian Bordes
S. Honari
Pascal Vincent
    GAN
    DiffM
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Papers citing "Learning to Generate Samples from Noise through Infusion Training"

14 / 14 papers shown
Title
Score-Based Generative Models Detect Manifolds
Score-Based Generative Models Detect Manifolds
Jakiw Pidstrigach
DiffM
27
72
0
02 Jun 2022
Probabilistic Implicit Scene Completion
Probabilistic Implicit Scene Completion
Dongsu Zhang
Changwoon Choi
I. Park
Y. Kim
3DPC
3DV
24
5
0
04 Apr 2022
Score-Based Generative Modeling with Critically-Damped Langevin
  Diffusion
Score-Based Generative Modeling with Critically-Damped Langevin Diffusion
Tim Dockhorn
Arash Vahdat
Karsten Kreis
DiffM
30
230
0
14 Dec 2021
Diffusion Normalizing Flow
Diffusion Normalizing Flow
Qinsheng Zhang
Yongxin Chen
DiffM
35
87
0
14 Oct 2021
Learning to Generate 3D Shapes with Generative Cellular Automata
Learning to Generate 3D Shapes with Generative Cellular Automata
Dongsu Zhang
Changwoon Choi
Jeonghwan Kim
Y. Kim
23
24
0
06 Mar 2021
Score-Based Generative Modeling through Stochastic Differential
  Equations
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
64
6,113
0
26 Nov 2020
Denoising Diffusion Probabilistic Models
Denoising Diffusion Probabilistic Models
Jonathan Ho
Ajay Jain
Pieter Abbeel
DiffM
118
17,042
0
19 Jun 2020
Variational Autoencoder with Arbitrary Conditioning
Variational Autoencoder with Arbitrary Conditioning
Oleg Ivanov
Michael Figurnov
Dmitry Vetrov
BDL
DRL
19
145
0
06 Jun 2018
Deterministic Non-Autoregressive Neural Sequence Modeling by Iterative
  Refinement
Deterministic Non-Autoregressive Neural Sequence Modeling by Iterative Refinement
Jason D. Lee
Elman Mansimov
Kyunghyun Cho
DiffM
BDL
33
455
0
19 Feb 2018
Variational Walkback: Learning a Transition Operator as a Stochastic
  Recurrent Net
Variational Walkback: Learning a Transition Operator as a Stochastic Recurrent Net
Anirudh Goyal
Nan Rosemary Ke
Surya Ganguli
Yoshua Bengio
DiffM
35
55
0
07 Nov 2017
Optimizing the Latent Space of Generative Networks
Optimizing the Latent Space of Generative Networks
Piotr Bojanowski
Armand Joulin
David Lopez-Paz
Arthur Szlam
GAN
27
412
0
18 Jul 2017
Towards Deeper Understanding of Variational Autoencoding Models
Towards Deeper Understanding of Variational Autoencoding Models
Shengjia Zhao
Jiaming Song
Stefano Ermon
DRL
33
155
0
28 Feb 2017
Stacked Generative Adversarial Networks
Stacked Generative Adversarial Networks
Xun Huang
Yixuan Li
Omid Poursaeed
J. Hopcroft
Serge J. Belongie
GAN
22
458
0
13 Dec 2016
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
272
2,552
0
25 Jan 2016
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