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PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture
  Likelihood and Other Modifications

PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications

19 January 2017
Tim Salimans
A. Karpathy
Xi Chen
Diederik P. Kingma
ArXiv (abs)PDFHTMLGithub (1943★)

Papers citing "PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications"

50 / 366 papers shown
Title
Deep, Deep Learning with BART
Deep, Deep Learning with BART
Moritz Blumenthal
Guanxiong Luo
Martin Schilling
H. C. M. Holme
M. Uecker
62
15
0
28 Feb 2022
A Tutorial on Adversarial Learning Attacks and Countermeasures
A Tutorial on Adversarial Learning Attacks and Countermeasures
Cato Pauling
Michael Gimson
Muhammed Qaid
Ahmad Kida
Basel Halak
AAML
90
11
0
21 Feb 2022
It's Raw! Audio Generation with State-Space Models
It's Raw! Audio Generation with State-Space Models
Karan Goel
Albert Gu
Chris Donahue
Christopher Ré
81
195
0
20 Feb 2022
Diffusion bridges vector quantized Variational AutoEncoders
Diffusion bridges vector quantized Variational AutoEncoders
Max H. Cohen
Guillaume Quispe
Sylvain Le Corff
Charles Ollion
Eric Moulines
DiffM
80
15
0
10 Feb 2022
Robust Vector Quantized-Variational Autoencoder
Chieh-Hsin Lai
Dongmian Zou
Gilad Lerman
DRL
115
6
0
04 Feb 2022
Stay Positive: Non-Negative Image Synthesis for Augmented Reality
Stay Positive: Non-Negative Image Synthesis for Augmented Reality
Katie Z Luo
Guandao Yang
Wenqi Xian
Harald Haraldsson
B. Hariharan
Serge Belongie
DiffM
63
5
0
01 Feb 2022
Posterior Matching for Arbitrary Conditioning
Posterior Matching for Arbitrary Conditioning
R. Strauss
Junier B. Oliva
CMLBDL
69
6
0
28 Jan 2022
Parallel Neural Local Lossless Compression
Parallel Neural Local Lossless Compression
Mingtian Zhang
James Townsend
Ning Kang
David Barber
69
7
0
13 Jan 2022
Swin Transformer for Fast MRI
Swin Transformer for Fast MRI
Jiahao Huang
Yingying Fang
Yinzhe Wu
Huanjun Wu
Zhifan Gao
Yang Li
Javier Del Ser
Jun Xia
Guang Yang
ViTOOD
83
148
0
10 Jan 2022
$m^\ast$ of two-dimensional electron gas: a neural canonical
  transformation study
m∗m^\astm∗ of two-dimensional electron gas: a neural canonical transformation study
H.-j. Xie
Linfeng Zhang
Lei Wang
91
8
0
10 Jan 2022
High-Resolution Image Synthesis with Latent Diffusion Models
High-Resolution Image Synthesis with Latent Diffusion Models
Robin Rombach
A. Blattmann
Dominik Lorenz
Patrick Esser
Bjorn Ommer
3DV
569
15,840
0
20 Dec 2021
Variational Wasserstein gradient flow
Variational Wasserstein gradient flow
JiaoJiao Fan
Qinsheng Zhang
Amirhossein Taghvaei
Yongxin Chen
167
57
0
04 Dec 2021
Global Context with Discrete Diffusion in Vector Quantised Modelling for
  Image Generation
Global Context with Discrete Diffusion in Vector Quantised Modelling for Image Generation
Minghui Hu
Yujie Wang
Tat-Jen Cham
Jianfei Yang
P.N.Suganthan
DiffM
63
43
0
03 Dec 2021
Vector Quantized Diffusion Model for Text-to-Image Synthesis
Vector Quantized Diffusion Model for Text-to-Image Synthesis
Shuyang Gu
Dong Chen
Jianmin Bao
Fang Wen
Bo Zhang
Dongdong Chen
Lu Yuan
B. Guo
DiffM
182
800
0
29 Nov 2021
FashionSearchNet-v2: Learning Attribute Representations with
  Localization for Image Retrieval with Attribute Manipulation
FashionSearchNet-v2: Learning Attribute Representations with Localization for Image Retrieval with Attribute Manipulation
Kenan E. Ak
Joo-Hwee Lim
Ying Sun
J. Y. Tham
A. Kassim
OODAI4TS
54
3
0
28 Nov 2021
Unleashing Transformers: Parallel Token Prediction with Discrete
  Absorbing Diffusion for Fast High-Resolution Image Generation from
  Vector-Quantized Codes
Unleashing Transformers: Parallel Token Prediction with Discrete Absorbing Diffusion for Fast High-Resolution Image Generation from Vector-Quantized Codes
Sam Bond-Taylor
P. Hessey
Hiroshi Sasaki
T. Breckon
Chris G. Willcocks
DiffM
120
72
0
24 Nov 2021
Transformer-based Image Compression
Transformer-based Image Compression
Ming Lu
Peiyao Guo
Huiqing Shi
Chuntong Cao
Zhan Ma
ViT
96
108
0
12 Nov 2021
Palette: Image-to-Image Diffusion Models
Palette: Image-to-Image Diffusion Models
Chitwan Saharia
William Chan
Huiwen Chang
Chris A. Lee
Jonathan Ho
Tim Salimans
David J. Fleet
Mohammad Norouzi
DiffMVLM
488
1,666
0
10 Nov 2021
PatchGame: Learning to Signal Mid-level Patches in Referential Games
PatchGame: Learning to Signal Mid-level Patches in Referential Games
Kamal Gupta
Gowthami Somepalli
Anubhav Gupta
Vinoj Jayasundara
Matthias Zwicker
Abhinav Shrivastava
74
4
0
02 Nov 2021
Efficiently Modeling Long Sequences with Structured State Spaces
Efficiently Modeling Long Sequences with Structured State Spaces
Albert Gu
Karan Goel
Christopher Ré
236
1,851
0
31 Oct 2021
What Do We Mean by Generalization in Federated Learning?
What Do We Mean by Generalization in Federated Learning?
Honglin Yuan
Warren Morningstar
Lin Ning
K. Singhal
OODFedML
123
76
0
27 Oct 2021
Towards More Generalizable One-shot Visual Imitation Learning
Towards More Generalizable One-shot Visual Imitation Learning
Zhao Mandi
Fangchen Liu
Kimin Lee
Pieter Abbeel
82
61
0
26 Oct 2021
SCHA-VAE: Hierarchical Context Aggregation for Few-Shot Generation
SCHA-VAE: Hierarchical Context Aggregation for Few-Shot Generation
Giorgio Giannone
Fattane Pourakpour
DRLBDL
57
10
0
23 Oct 2021
PixelPyramids: Exact Inference Models from Lossless Image Pyramids
PixelPyramids: Exact Inference Models from Lossless Image Pyramids
Shweta Mahajan
Stefan Roth
TPM
41
2
0
17 Oct 2021
Diffusion Normalizing Flow
Diffusion Normalizing Flow
Qinsheng Zhang
Yongxin Chen
DiffM
106
94
0
14 Oct 2021
ATISS: Autoregressive Transformers for Indoor Scene Synthesis
ATISS: Autoregressive Transformers for Indoor Scene Synthesis
Despoina Paschalidou
Amlan Kar
Maria Shugrina
Karsten Kreis
Andreas Geiger
Sanja Fidler
3DVViT
132
155
0
07 Oct 2021
Autoregressive Diffusion Models
Autoregressive Diffusion Models
Emiel Hoogeboom
Alexey A. Gritsenko
Jasmijn Bastings
Ben Poole
Rianne van den Berg
Tim Salimans
DiffM
115
155
0
05 Oct 2021
End-to-End Image Compression with Probabilistic Decoding
End-to-End Image Compression with Probabilistic Decoding
Haichuan Ma
Dong Liu
Cunhui Dong
Li Li
Feng Wu
38
1
0
30 Sep 2021
Two Souls in an Adversarial Image: Towards Universal Adversarial Example
  Detection using Multi-view Inconsistency
Two Souls in an Adversarial Image: Towards Universal Adversarial Example Detection using Multi-view Inconsistency
Sohaib Kiani
S. Awan
Chao Lan
Fengjun Li
Bo Luo
GANAAML
37
7
0
25 Sep 2021
MRI Reconstruction Using Deep Energy-Based Model
MRI Reconstruction Using Deep Energy-Based Model
Yu Guan
Zongjiang Tu
Shanshan Wang
Qiegen Liu
Yuhao Wang
Dong Liang
DiffMMedIm
84
14
0
07 Sep 2021
On the Out-of-distribution Generalization of Probabilistic Image
  Modelling
On the Out-of-distribution Generalization of Probabilistic Image Modelling
Mingtian Zhang
Andi Zhang
Jingyu Sun
OODD
133
45
0
04 Sep 2021
CDCGen: Cross-Domain Conditional Generation via Normalizing Flows and
  Adversarial Training
CDCGen: Cross-Domain Conditional Generation via Normalizing Flows and Adversarial Training
Hari Prasanna Das
Ryan Tran
Japjot Singh
Yu-Wen Lin
C. Spanos
OOD
56
11
0
25 Aug 2021
Lossless Image Compression Using a Multi-Scale Progressive Statistical
  Model
Lossless Image Compression Using a Multi-Scale Progressive Statistical Model
Honglei Zhang
Francesco Cricri
Hamed R. Tavakoli
Nannan Zou
Emre B. Aksu
M. Hannuksela
87
18
0
24 Aug 2021
Revealing the Distributional Vulnerability of Discriminators by Implicit
  Generators
Revealing the Distributional Vulnerability of Discriminators by Implicit Generators
Zhilin Zhao
LongBing Cao
Kun-Yu Lin
98
11
0
23 Aug 2021
L3C-Stereo: Lossless Compression for Stereo Images
L3C-Stereo: Lossless Compression for Stereo Images
Zihao Huang
Zhe Sun
Feng Duan
A. Cichocki
Peiying Ruan
Chong Li
3DV
54
8
0
21 Aug 2021
ImageBART: Bidirectional Context with Multinomial Diffusion for
  Autoregressive Image Synthesis
ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image Synthesis
Patrick Esser
Robin Rombach
A. Blattmann
Bjorn Ommer
DiffM
107
162
0
19 Aug 2021
A Unified Deep Model of Learning from both Data and Queries for
  Cardinality Estimation
A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation
Peizhi Wu
Gao Cong
OOD
73
70
0
26 Jul 2021
Understanding Failures in Out-of-Distribution Detection with Deep
  Generative Models
Understanding Failures in Out-of-Distribution Detection with Deep Generative Models
Lily H. Zhang
Mark Goldstein
Rajesh Ranganath
OODD
195
106
0
14 Jul 2021
Learned Image Compression with Gaussian-Laplacian-Logistic Mixture Model
  and Concatenated Residual Modules
Learned Image Compression with Gaussian-Laplacian-Logistic Mixture Model and Concatenated Residual Modules
H. Fu
F. Liang
Jianping Lin
Bing Li
Mohammad Akbari
Jie Liang
Guohe Zhang
Dong Liu
Chengjie Tu
Jingning Han
112
55
0
14 Jul 2021
Combiner: Full Attention Transformer with Sparse Computation Cost
Combiner: Full Attention Transformer with Sparse Computation Cost
Hongyu Ren
H. Dai
Zihang Dai
Mengjiao Yang
J. Leskovec
Dale Schuurmans
Bo Dai
163
80
0
12 Jul 2021
Lifelong Mixture of Variational Autoencoders
Lifelong Mixture of Variational Autoencoders
Fei Ye
A. Bors
DRL
37
27
0
09 Jul 2021
Structured Denoising Diffusion Models in Discrete State-Spaces
Structured Denoising Diffusion Models in Discrete State-Spaces
Jacob Austin
Daniel D. Johnson
Jonathan Ho
Daniel Tarlow
Rianne van den Berg
DiffM
242
950
0
07 Jul 2021
Variational Diffusion Models
Variational Diffusion Models
Diederik P. Kingma
Tim Salimans
Ben Poole
Jonathan Ho
DiffM
212
1,146
0
01 Jul 2021
Lossless Coding of Point Cloud Geometry using a Deep Generative Model
Lossless Coding of Point Cloud Geometry using a Deep Generative Model
D. Nguyen
Maurice Quach
G. Valenzise
Pierre Duhamel
3DPC
30
47
0
01 Jul 2021
WaveGrad 2: Iterative Refinement for Text-to-Speech Synthesis
WaveGrad 2: Iterative Refinement for Text-to-Speech Synthesis
Nanxin Chen
Yu Zhang
Heiga Zen
Ron J. Weiss
Mohammad Norouzi
Najim Dehak
William Chan
DiffM
89
88
0
17 Jun 2021
Score-based Generative Modeling in Latent Space
Score-based Generative Modeling in Latent Space
Arash Vahdat
Karsten Kreis
Jan Kautz
DiffM
78
688
0
10 Jun 2021
Densely connected normalizing flows
Densely connected normalizing flows
Matej Grcić
Ivan Grubišić
Sinisa Segvic
TPM
95
59
0
08 Jun 2021
On the relation between statistical learning and perceptual distances
On the relation between statistical learning and perceptual distances
Alexander Hepburn
Valero Laparra
Raúl Santos-Rodríguez
Johannes Ballé
Jesús Malo
72
19
0
08 Jun 2021
NWT: Towards natural audio-to-video generation with representation
  learning
NWT: Towards natural audio-to-video generation with representation learning
Rayhane Mama
Marc S. Tyndel
Hashiam Kadhim
Cole Clifford
Ragavan Thurairatnam
VGen
103
12
0
08 Jun 2021
The Image Local Autoregressive Transformer
The Image Local Autoregressive Transformer
Chenjie Cao
Yue Hong
Xiang Li
Chengrong Wang
C. Xu
Xiangyang Xue
Yanwei Fu
73
13
0
04 Jun 2021
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