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1703.03664
Cited By
Parallel Multiscale Autoregressive Density Estimation
10 March 2017
Scott E. Reed
Aaron van den Oord
Nal Kalchbrenner
Sergio Gomez Colmenarejo
Ziyun Wang
Dan Belov
Nando de Freitas
BDL
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Papers citing
"Parallel Multiscale Autoregressive Density Estimation"
50 / 143 papers shown
Multi-Resolution Continuous Normalizing Flows
Vikram S. Voleti
Chris Finlay
Adam M. Oberman
Christopher Pal
386
6
0
15 Jun 2021
Conditional COT-GAN for Video Prediction with Kernel Smoothing
Tianlin Xu
Beatrice Acciaio
GAN
AI4TS
CML
122
6
0
10 Jun 2021
MOC-GAN: Mixing Objects and Captions to Generate Realistic Images
Tao Ma
Yikang Li
94
0
0
06 Jun 2021
Hierarchical Video Generation for Complex Data
Lluis Castrejon
Nicolas Ballas
Aaron Courville
VGen
174
4
0
04 Jun 2021
CAGAN: Text-To-Image Generation with Combined Attention GANs
German Conference on Pattern Recognition (DAGM), 2021
Henning Schulze
Dogucan Yaman
Alexander Waibel
GAN
169
4
0
26 Apr 2021
Multiscale deep context modeling for lossless point cloud geometry compression
D. Nguyen
Maurice Quach
G. Valenzise
Pierre Duhamel
3DPC
141
55
0
20 Apr 2021
Pretrained equivariant features improve unsupervised landmark discovery
International Conference on Pattern Recognition (ICPR), 2021
R. Rahaman
Atin Ghosh
Alexandre Hoang Thiery
3DPC
SSL
221
3
0
07 Apr 2021
M3L: Language-based Video Editing via Multi-Modal Multi-Level Transformers
Tsu-Jui Fu
Xinze Wang
Scott T. Grafton
Miguel P. Eckstein
Wenjie Wang
298
10
0
02 Apr 2021
3D Semantic Scene Completion: a Survey
International Journal of Computer Vision (IJCV), 2021
Luis Roldão
Raoul de Charette
Anne Verroust-Blondet
3DV
373
117
0
12 Mar 2021
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Sam Bond-Taylor
Adam Leach
Yang Long
Chris G. Willcocks
VLM
TPM
727
630
0
08 Mar 2021
Generating Images with Sparse Representations
International Conference on Machine Learning (ICML), 2021
C. Nash
Jacob Menick
Sander Dieleman
Peter W. Battaglia
232
266
0
05 Mar 2021
Predicting Video with VQVAE
Jacob Walker
Ali Razavi
Aaron van den Oord
DRL
239
75
0
02 Mar 2021
Adversarial Text-to-Image Synthesis: A Review
Neural Networks (NN), 2021
Stanislav Frolov
Tobias Hinz
Federico Raue
Jörn Hees
Andreas Dengel
EGVM
322
202
0
25 Jan 2021
Cross-Modal Contrastive Learning for Text-to-Image Generation
Computer Vision and Pattern Recognition (CVPR), 2021
Han Zhang
Jing Yu Koh
Jason Baldridge
Honglak Lee
Yinfei Yang
GAN
531
422
0
12 Jan 2021
Models, Pixels, and Rewards: Evaluating Design Trade-offs in Visual Model-Based Reinforcement Learning
Mohammad Babaeizadeh
M. Saffar
Danijar Hafner
Harini Kannan
Chelsea Finn
Sergey Levine
D. Erhan
VLM
132
9
0
08 Dec 2020
Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images
International Conference on Learning Representations (ICLR), 2020
R. Child
BDL
VLM
456
381
0
20 Nov 2020
Sketch-Inspector: a Deep Mixture Model for High-Quality Sketch Generation of Cats
Yunkui Pang
Zhiqing Pan
Ruiyang Sun
Shuchong Wang
67
0
0
09 Nov 2020
Wavelet Flow: Fast Training of High Resolution Normalizing Flows
Neural Information Processing Systems (NeurIPS), 2020
Jason J. Yu
Konstantinos G. Derpanis
Marcus A. Brubaker
TPM
318
47
0
26 Oct 2020
New Ideas and Trends in Deep Multimodal Content Understanding: A Review
Neurocomputing (Neurocomputing), 2020
Wei Chen
Weiping Wang
Tianpeng Liu
M. Lew
VLM
329
36
0
16 Oct 2020
RG-Flow: A hierarchical and explainable flow model based on renormalization group and sparse prior
Hong-Ye Hu
Dian Wu
Yi-Zhuang You
Bruno A. Olshausen
Yubei Chen
BDL
DRL
446
18
0
30 Sep 2020
SSCR: Iterative Language-Based Image Editing via Self-Supervised Counterfactual Reasoning
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Tsu-Jui Fu
Xinze Wang
Scott T. Grafton
Miguel P. Eckstein
William Yang Wang
277
44
0
21 Sep 2020
not-so-BigGAN: Generating High-Fidelity Images on Small Compute with Wavelet-based Super-Resolution
Seung-Jun Han
Akash Srivastava
C. Hurwitz
P. Sattigeri
David D. Cox
122
10
0
09 Sep 2020
Interpreting Spatially Infinite Generative Models
Chaochao Lu
Richard Turner
Yingzhen Li
Nate Kushman
GAN
136
5
0
24 Jul 2020
Neural Video Coding using Multiscale Motion Compensation and Spatiotemporal Context Model
Haojie Liu
Ming Lu
Zhan Ma
Fan Wang
Zhihuang Xie
Xun Cao
Yao Wang
152
97
0
09 Jul 2020
SRFlow: Learning the Super-Resolution Space with Normalizing Flow
European Conference on Computer Vision (ECCV), 2020
Andreas Lugmayr
Martin Danelljan
Luc Van Gool
Radu Timofte
SupR
DRL
323
402
0
25 Jun 2020
Locally Masked Convolution for Autoregressive Models
Ajay Jain
Pieter Abbeel
Deepak Pathak
DiffM
OffRL
203
32
0
22 Jun 2020
TIME: Text and Image Mutual-Translation Adversarial Networks
AAAI Conference on Artificial Intelligence (AAAI), 2020
Bingchen Liu
Kunpeng Song
Yizhe Zhu
Gerard de Melo
Ahmed Elgammal
124
35
0
27 May 2020
SegAttnGAN: Text to Image Generation with Segmentation Attention
Yuchuan Gou
Qiancheng Wu
Minghao Li
Bo Gong
Mei Han
VLM
144
25
0
25 May 2020
Normalizing Flows with Multi-Scale Autoregressive Priors
Computer Vision and Pattern Recognition (CVPR), 2020
Shweta Mahajan
Apratim Bhattacharyya
Mario Fritz
Bernt Schiele
Stefan Roth
BDL
DRL
152
19
0
08 Apr 2020
Lossless Image Compression through Super-Resolution
Shengcao Cao
Chaoxia Wu
Philipp Krahenbuhl
209
47
0
06 Apr 2020
Learning Better Lossless Compression Using Lossy Compression
Computer Vision and Pattern Recognition (CVPR), 2020
Fabian Mentzer
Luc Van Gool
Michael Tschannen
260
79
0
23 Mar 2020
Predictive Sampling with Forecasting Autoregressive Models
International Conference on Machine Learning (ICML), 2020
Auke Wiggers
Emiel Hoogeboom
BDL
193
17
0
23 Feb 2020
Augmented Normalizing Flows: Bridging the Gap Between Generative Flows and Latent Variable Models
Chin-Wei Huang
Laurent Dinh
Aaron Courville
DRL
303
92
0
17 Feb 2020
Multiresolution Tensor Learning for Efficient and Interpretable Spatial Analysis
International Conference on Machine Learning (ICML), 2020
Jung Yeon Park
K. T. Carr
Stephan Zhang
Yisong Yue
Rose Yu
314
14
0
13 Feb 2020
Text-to-Image Generation with Attention Based Recurrent Neural Networks
Tehseen Zia
Shahan Arif
Shakeeb Murtaza
M. A. Ullah
96
10
0
18 Jan 2020
Auto Completion of User Interface Layout Design Using Transformer-Based Tree Decoders
Yang Li
J. Amelot
Xin Zhou
Samy Bengio
Si Si
3DV
115
17
0
14 Jan 2020
Unsupervised Distribution Learning for Lunar Surface Anomaly Detection
Adam Lesnikowski
V. Bickel
Daniel Angerhausen
42
11
0
14 Jan 2020
HiLLoC: Lossless Image Compression with Hierarchical Latent Variable Models
International Conference on Learning Representations (ICLR), 2019
James Townsend
Thomas Bird
Julius Kunze
David Barber
BDL
VLM
262
58
0
20 Dec 2019
Axial Attention in Multidimensional Transformers
Jonathan Ho
Nal Kalchbrenner
Dirk Weissenborn
Tim Salimans
266
618
0
20 Dec 2019
CPGAN: Full-Spectrum Content-Parsing Generative Adversarial Networks for Text-to-Image Synthesis
Jiadong Liang
Wenjie Pei
Feng Lu
GAN
176
19
0
18 Dec 2019
Unsupervised Keypoint Learning for Guiding Class-Conditional Video Prediction
Neural Information Processing Systems (NeurIPS), 2019
G. Zucatelli
Seonghyeon Nam
R. Coelho
Seon Joo Kim
156
61
0
04 Oct 2019
Picture What you Read
International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2019
I. Gallo
Shah Nawaz
Alessandro Calefati
Riccardo La Grassa
Nicola Landro
DiffM
206
0
0
09 Sep 2019
ForkNet: Multi-branch Volumetric Semantic Completion from a Single Depth Image
IEEE International Conference on Computer Vision (ICCV), 2019
Yida Wang
D. Tan
Nassir Navab
Federico Tombari
3DV
3DPC
98
64
0
03 Sep 2019
Likelihood Contribution based Multi-scale Architecture for Generative Flows
Hari Prasanna Das
Pieter Abbeel
C. Spanos
DRL
AI4CE
163
5
0
05 Aug 2019
Efficient and Effective Context-Based Convolutional Entropy Modeling for Image Compression
IEEE Transactions on Image Processing (TIP), 2019
Mu Li
Kede Ma
J. You
David C. Zhang
W. Zuo
244
76
0
24 Jun 2019
Scaling Autoregressive Video Models
International Conference on Learning Representations (ICLR), 2019
Dirk Weissenborn
Oscar Täckström
Jakob Uszkoreit
DiffM
VGen
400
232
0
06 Jun 2019
MelNet: A Generative Model for Audio in the Frequency Domain
Sean Vasquez
M. Lewis
DiffM
164
140
0
04 Jun 2019
Generating Diverse High-Fidelity Images with VQ-VAE-2
Neural Information Processing Systems (NeurIPS), 2019
Ali Razavi
Aaron van den Oord
Oriol Vinyals
DRL
BDL
585
2,152
0
02 Jun 2019
Discrete Flows: Invertible Generative Models of Discrete Data
Dustin Tran
Keyon Vafa
Kumar Krishna Agrawal
Laurent Dinh
Ben Poole
DRL
281
123
0
24 May 2019
Generative Model with Dynamic Linear Flow
IEEE Access (IEEE Access), 2019
Huadong Liao
Jiawei He
Kun-xian Shu
DRL
115
5
0
08 May 2019
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