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PixelSNAIL: An Improved Autoregressive Generative Model

PixelSNAIL: An Improved Autoregressive Generative Model

28 December 2017
Xi Chen
Nikhil Mishra
Mostafa Rohaninejad
Pieter Abbeel
    DRL
    DiffM
    BDL
    GAN
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Papers citing "PixelSNAIL: An Improved Autoregressive Generative Model"

19 / 69 papers shown
Title
Locally Masked Convolution for Autoregressive Models
Locally Masked Convolution for Autoregressive Models
Ajay Jain
Pieter Abbeel
Deepak Pathak
DiffM
OffRL
39
31
0
22 Jun 2020
Denoising Diffusion Probabilistic Models
Denoising Diffusion Probabilistic Models
Jonathan Ho
Ajay Jain
Pieter Abbeel
DiffM
118
17,084
0
19 Jun 2020
Latent Video Transformer
Latent Video Transformer
Ruslan Rakhimov
Denis Volkhonskiy
Alexey Artemov
Denis Zorin
Evgeny Burnaev
VGen
33
119
0
18 Jun 2020
Unsupervised Pansharpening Based on Self-Attention Mechanism
Unsupervised Pansharpening Based on Self-Attention Mechanism
Ying Qu
Razieh Kaviani Baghbaderani
Hairong Qi
C. Kwan
33
69
0
16 Jun 2020
Vector Quantized Contrastive Predictive Coding for Template-based Music
  Generation
Vector Quantized Contrastive Predictive Coding for Template-based Music Generation
Gaëtan Hadjeres
Léopold Crestel
34
18
0
21 Apr 2020
Predictive Sampling with Forecasting Autoregressive Models
Predictive Sampling with Forecasting Autoregressive Models
Auke Wiggers
Emiel Hoogeboom
BDL
33
16
0
23 Feb 2020
Augmented Normalizing Flows: Bridging the Gap Between Generative Flows
  and Latent Variable Models
Augmented Normalizing Flows: Bridging the Gap Between Generative Flows and Latent Variable Models
Chin-Wei Huang
Laurent Dinh
Aaron Courville
DRL
31
87
0
17 Feb 2020
Multivariate Probabilistic Time Series Forecasting via Conditioned
  Normalizing Flows
Multivariate Probabilistic Time Series Forecasting via Conditioned Normalizing Flows
Kashif Rasul
Abdul-Saboor Sheikh
Ingmar Schuster
Urs M. Bergmann
Roland Vollgraf
BDL
AI4TS
AI4CE
24
179
0
14 Feb 2020
Axial Attention in Multidimensional Transformers
Axial Attention in Multidimensional Transformers
Jonathan Ho
Nal Kalchbrenner
Dirk Weissenborn
Tim Salimans
36
519
0
20 Dec 2019
PixelVAE++: Improved PixelVAE with Discrete Prior
PixelVAE++: Improved PixelVAE with Discrete Prior
Hossein Sadeghi
Evgeny Andriyash
W. Vinci
L. Buffoni
Mohammad H. Amin
BDL
DRL
21
33
0
26 Aug 2019
Generating Diverse High-Fidelity Images with VQ-VAE-2
Generating Diverse High-Fidelity Images with VQ-VAE-2
Ali Razavi
Aaron van den Oord
Oriol Vinyals
DRL
BDL
27
1,774
0
02 Jun 2019
Generating Long Sequences with Sparse Transformers
Generating Long Sequences with Sparse Transformers
R. Child
Scott Gray
Alec Radford
Ilya Sutskever
28
1,854
0
23 Apr 2019
Hierarchical Autoregressive Image Models with Auxiliary Decoders
Hierarchical Autoregressive Image Models with Auxiliary Decoders
J. Fauw
Sander Dieleman
Karen Simonyan
GAN
30
37
0
06 Mar 2019
MAE: Mutual Posterior-Divergence Regularization for Variational
  AutoEncoders
MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders
Xuezhe Ma
Chunting Zhou
Eduard H. Hovy
DRL
28
39
0
06 Jan 2019
Generating High Fidelity Images with Subscale Pixel Networks and
  Multidimensional Upscaling
Generating High Fidelity Images with Subscale Pixel Networks and Multidimensional Upscaling
Jacob Menick
Nal Kalchbrenner
28
150
0
04 Dec 2018
Practical Full Resolution Learned Lossless Image Compression
Practical Full Resolution Learned Lossless Image Compression
Fabian Mentzer
E. Agustsson
Michael Tschannen
Radu Timofte
Luc Van Gool
21
194
0
30 Nov 2018
Autoregressive Quantile Networks for Generative Modeling
Autoregressive Quantile Networks for Generative Modeling
Georg Ostrovski
Will Dabney
Rémi Munos
DRL
28
85
0
14 Jun 2018
Universal Planning Networks
Universal Planning Networks
A. Srinivas
Allan Jabri
Pieter Abbeel
Sergey Levine
Chelsea Finn
SSL
30
145
0
02 Apr 2018
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
272
2,553
0
25 Jan 2016
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