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Pixel Recurrent Neural Networks
v1v2v3 (latest)

Pixel Recurrent Neural Networks

25 January 2016
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
    SSegGAN
ArXiv (abs)PDFHTML

Papers citing "Pixel Recurrent Neural Networks"

50 / 1,388 papers shown
Title
Learning Deep-Latent Hierarchies by Stacking Wasserstein Autoencoders
Learning Deep-Latent Hierarchies by Stacking Wasserstein Autoencoders
Benoit Gaujac
Ilya Feige
David Barber
DiffMBDL
62
0
0
07 Oct 2020
Improving Sequential Latent Variable Models with Autoregressive Flows
Improving Sequential Latent Variable Models with Autoregressive Flows
Joseph Marino
Lei Chen
Jiawei He
Stephan Mandt
BDLAI4TS
127
12
0
07 Oct 2020
A Contrastive Learning Approach for Training Variational Autoencoder
  Priors
A Contrastive Learning Approach for Training Variational Autoencoder Priors
J. Aneja
Alex Schwing
Jan Kautz
Arash Vahdat
DRL
124
83
0
06 Oct 2020
Denoising Diffusion Implicit Models
Denoising Diffusion Implicit Models
Jiaming Song
Chenlin Meng
Stefano Ermon
VLMDiffM
334
7,531
0
06 Oct 2020
Understanding Classifier Mistakes with Generative Models
Understanding Classifier Mistakes with Generative Models
Laetitia Shao
Yang Song
Stefano Ermon
44
4
0
05 Oct 2020
Self-Supervised Variational Auto-Encoders
Self-Supervised Variational Auto-Encoders
Ioannis Gatopoulos
Jakub M. Tomczak
60
13
0
05 Oct 2020
Neural Generation of Blocks for Video Coding
Neural Generation of Blocks for Video Coding
Jonah Probell
13
0
0
05 Oct 2020
Unknown Presentation Attack Detection against Rational Attackers
Unknown Presentation Attack Detection against Rational Attackers
Ali Khodabakhsh
Zahid Akhtar
AAML
74
4
0
04 Oct 2020
VAEBM: A Symbiosis between Variational Autoencoders and Energy-based
  Models
VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models
Zhisheng Xiao
Karsten Kreis
Jan Kautz
Arash Vahdat
116
124
0
01 Oct 2020
Learning to Compress Videos without Computing Motion
Learning to Compress Videos without Computing Motion
Meixu Chen
T. Goodall
Anjul Patney
A. Bovik
33
10
0
29 Sep 2020
Iterative Reconstruction for Low-Dose CT using Deep Gradient Priors of
  Generative Model
Iterative Reconstruction for Low-Dose CT using Deep Gradient Priors of Generative Model
Zhuonan He
Yikun Zhang
Yu Guan
S. Niu
Yi Zhang
Yang Chen
Qiegen Liu
DiffMMedIm
89
12
0
27 Sep 2020
STAN: Synthetic Network Traffic Generation with Generative Neural Models
STAN: Synthetic Network Traffic Generation with Generative Neural Models
Shengzhe Xu
Manish Marwah
M. Arlitt
Naren Ramakrishnan
DiffMAI4TS
49
29
0
27 Sep 2020
From Pixel to Patch: Synthesize Context-aware Features for Zero-shot
  Semantic Segmentation
From Pixel to Patch: Synthesize Context-aware Features for Zero-shot Semantic Segmentation
Zhangxuan Gu
Siyuan Zhou
Li Niu
Zihan Zhao
Liqing Zhang
VLMDiffM
39
23
0
25 Sep 2020
Secure Data Sharing With Flow Model
Secure Data Sharing With Flow Model
Chenwei Wu
Chenzhuang Du
Yang Yuan
FedML
22
4
0
24 Sep 2020
X-LXMERT: Paint, Caption and Answer Questions with Multi-Modal
  Transformers
X-LXMERT: Paint, Caption and Answer Questions with Multi-Modal Transformers
Jaemin Cho
Jiasen Lu
Dustin Schwenk
Hannaneh Hajishirzi
Aniruddha Kembhavi
VLMMLLM
95
102
0
23 Sep 2020
Online Alternate Generator against Adversarial Attacks
Online Alternate Generator against Adversarial Attacks
Haofeng Li
Yirui Zeng
Guanbin Li
Liang Lin
Yizhou Yu
AAML
69
6
0
17 Sep 2020
Multimodal Safety-Critical Scenarios Generation for Decision-Making
  Algorithms Evaluation
Multimodal Safety-Critical Scenarios Generation for Decision-Making Algorithms Evaluation
Wenhao Ding
Baiming Chen
Yue Liu
Kim Ji Eun
Ding Zhao
AAML
99
105
0
16 Sep 2020
Quasi-Autoregressive Residual (QuAR) Flows
Quasi-Autoregressive Residual (QuAR) Flows
Achintya Gopal
TPM
40
2
0
16 Sep 2020
Predictive Synthesis of Quantum Materials by Probabilistic Reinforcement
  Learning
Predictive Synthesis of Quantum Materials by Probabilistic Reinforcement Learning
P. Rajak
A. Krishnamoorthy
Ankit Mishra
R. Kalia
A. Nakano
P. Vashishta
AI4CE
19
0
0
14 Sep 2020
Unpaired Learning of Deep Image Denoising
Unpaired Learning of Deep Image Denoising
Xiaohe Wu
Ming-Yu Liu
Yue Cao
Dongwei Ren
W. Zuo
SSL
99
148
0
31 Aug 2020
Dynamical Variational Autoencoders: A Comprehensive Review
Dynamical Variational Autoencoders: A Comprehensive Review
Laurent Girin
Simon Leglaive
Xiaoyu Bie
Julien Diard
Thomas Hueber
Xavier Alameda-Pineda
BDL
145
223
0
28 Aug 2020
DrumGAN: Synthesis of Drum Sounds With Timbral Feature Conditioning
  Using Generative Adversarial Networks
DrumGAN: Synthesis of Drum Sounds With Timbral Feature Conditioning Using Generative Adversarial Networks
J. Nistal
Stefan Lattner
G. Richard
GAN
76
56
0
27 Aug 2020
Biased Mixtures Of Experts: Enabling Computer Vision Inference Under
  Data Transfer Limitations
Biased Mixtures Of Experts: Enabling Computer Vision Inference Under Data Transfer Limitations
Alhabib Abbas
Y. Andreopoulos
MoE
106
18
0
21 Aug 2020
A Survey on Assessing the Generalization Envelope of Deep Neural
  Networks: Predictive Uncertainty, Out-of-distribution and Adversarial Samples
A Survey on Assessing the Generalization Envelope of Deep Neural Networks: Predictive Uncertainty, Out-of-distribution and Adversarial Samples
Julia Lust
Alexandru Paul Condurache
UQCVAAMLAI4CE
31
8
0
21 Aug 2020
Generating Music with a Self-Correcting Non-Chronological Autoregressive
  Model
Generating Music with a Self-Correcting Non-Chronological Autoregressive Model
Wayne Chi
Prachi Kumar
Suri Yaddanapudi
Rahul Suresh
Umut Isik
KELM
116
10
0
18 Aug 2020
Learning Gradient Fields for Shape Generation
Learning Gradient Fields for Shape Generation
Ruojin Cai
Guandao Yang
Hadar Averbuch-Elor
Jinwei Gu
Serge J. Belongie
Noah Snavely
B. Hariharan
3DPC
130
286
0
14 Aug 2020
Effect of Architectures and Training Methods on the Performance of
  Learned Video Frame Prediction
Effect of Architectures and Training Methods on the Performance of Learned Video Frame Prediction
M. Yilmaz
A. Murat Tekalp
40
12
0
13 Aug 2020
Recurrent Deconvolutional Generative Adversarial Networks with
  Application to Text Guided Video Generation
Recurrent Deconvolutional Generative Adversarial Networks with Application to Text Guided Video Generation
Hongyuan Yu
Yan Huang
Lihong Pi
Liang Wang
GAN
36
0
0
13 Aug 2020
Generate High Resolution Images With Generative Variational Autoencoder
Abhinav Sagar
GANDRL
39
3
0
12 Aug 2020
FRMDN: Flow-based Recurrent Mixture Density Network
FRMDN: Flow-based Recurrent Mixture Density Network
S. Razavi
Reshad Hosseini
Tina Behzad
BDL
30
0
0
05 Aug 2020
Self-supervised Learning of Point Clouds via Orientation Estimation
Self-supervised Learning of Point Clouds via Orientation Estimation
Omid Poursaeed
Tianxing Jiang
Quintessa Qiao
N. Xu
Vladimir G. Kim
3DPCSSL
91
121
0
01 Aug 2020
Rethinking Recurrent Neural Networks and Other Improvements for Image
  Classification
Rethinking Recurrent Neural Networks and Other Improvements for Image Classification
N. H. Phong
B. Ribeiro
VLM
71
8
0
30 Jul 2020
Generative Classifiers as a Basis for Trustworthy Image Classification
Generative Classifiers as a Basis for Trustworthy Image Classification
Radek Mackowiak
Lynton Ardizzone
Ullrich Kothe
Carsten Rother
53
4
0
29 Jul 2020
Generalization Properties of Optimal Transport GANs with Latent
  Distribution Learning
Generalization Properties of Optimal Transport GANs with Latent Distribution Learning
Giulia Luise
Massimiliano Pontil
C. Ciliberto
GANOT
66
22
0
29 Jul 2020
Towards Purely Unsupervised Disentanglement of Appearance and Shape for
  Person Images Generation
Towards Purely Unsupervised Disentanglement of Appearance and Shape for Person Images Generation
Hongtao Yang
Tong Zhang
Wenbing Huang
Xuming He
Fatih Porikli
109
4
0
26 Jul 2020
Distributional Reinforcement Learning via Moment Matching
Distributional Reinforcement Learning via Moment Matching
Thanh Tang Nguyen
Sunil R. Gupta
Svetha Venkatesh
OOD
20
22
0
24 Jul 2020
SeismoFlow -- Data augmentation for the class imbalance problem
SeismoFlow -- Data augmentation for the class imbalance problem
R. Milidiú
Luis Müller
AI4TS
30
1
0
23 Jul 2020
A Transfer Learning End-to-End ArabicText-To-Speech (TTS) Deep
  Architecture
A Transfer Learning End-to-End ArabicText-To-Speech (TTS) Deep Architecture
Fady K. Fahmy
M. Khalil
Hazem M. Abbas
53
21
0
22 Jul 2020
Incorporating Reinforced Adversarial Learning in Autoregressive Image
  Generation
Incorporating Reinforced Adversarial Learning in Autoregressive Image Generation
Kenan E. Ak
N. Xu
Zhe Lin
Yilin Wang
85
13
0
20 Jul 2020
Generative Flows with Matrix Exponential
Generative Flows with Matrix Exponential
Chang Xiao
Ligang Liu
DRL
42
8
0
19 Jul 2020
Face Super-Resolution Guided by 3D Facial Priors
Face Super-Resolution Guided by 3D Facial Priors
Xiaobin Hu
Wenqi Ren
John LaMaster
Xiaochun Cao
Xiaoming Li
Zechao Li
Bjoern Menze
Wei Liu
SupRCVBM
96
64
0
18 Jul 2020
Can Learned Frame-Prediction Compete with Block-Motion Compensation for
  Video Coding?
Can Learned Frame-Prediction Compete with Block-Motion Compensation for Video Coding?
Serkan Sulun
A. Murat Tekalp
47
6
0
17 Jul 2020
Controllable Image Synthesis via SegVAE
Controllable Image Synthesis via SegVAE
Y. Cheng
Hsin-Ying Lee
Min Sun
Ming-Hsuan Yang
152
20
0
16 Jul 2020
Autoregressive Unsupervised Image Segmentation
Autoregressive Unsupervised Image Segmentation
Yassine Ouali
C´eline Hudelot
Myriam Tami
SSL
96
87
0
16 Jul 2020
Detecting Out-of-distribution Samples via Variational Auto-encoder with
  Reliable Uncertainty Estimation
Detecting Out-of-distribution Samples via Variational Auto-encoder with Reliable Uncertainty Estimation
Xuming Ran
Mingkun Xu
Lingrui Mei
Qi Xu
Quanying Liu
OODDUQCV
93
51
0
16 Jul 2020
Channel-Level Variable Quantization Network for Deep Image Compression
Channel-Level Variable Quantization Network for Deep Image Compression
Zhisheng Zhong
Hiroaki Akutsu
Kiyoharu Aizawa
35
20
0
15 Jul 2020
A Deep Learning Approach for Low-Latency Packet Loss Concealment of
  Audio Signals in Networked Music Performance Applications
A Deep Learning Approach for Low-Latency Packet Loss Concealment of Audio Signals in Networked Music Performance Applications
Prateek Verma
Alessandro Ilic Mezza
C. Chafe
C. Rottondi
15
22
0
14 Jul 2020
Projected Latent Markov Chain Monte Carlo: Conditional Sampling of
  Normalizing Flows
Projected Latent Markov Chain Monte Carlo: Conditional Sampling of Normalizing Flows
Chris Cannella
Mohammadreza Soltani
Vahid Tarokh
BDL
74
0
0
13 Jul 2020
EMIXER: End-to-end Multimodal X-ray Generation via Self-supervision
EMIXER: End-to-end Multimodal X-ray Generation via Self-supervision
Siddharth Biswal
Peiye Zhuang
A. Pyrros
Nasir Siddiqui
Oluwasanmi Koyejo
Jimeng Sun
MedIm
71
5
0
10 Jul 2020
Self-Reflective Variational Autoencoder
Self-Reflective Variational Autoencoder
Ifigeneia Apostolopoulou
Elan Rosenfeld
A. Dubrawski
OODBDLDRL
52
0
0
10 Jul 2020
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