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Pixel Recurrent Neural Networks

25 January 2016

Papers citing "Pixel Recurrent Neural Networks"

50 / 1,388 papers shown

Title
ArTIST: Autoregressive Trajectory Inpainting and Scoring for Tracking F. Saleh M. S. Aliakbarian Mathieu Salzmann Stephen Gould DiffM VOT 94 13 0 16 Apr 2020
Compositional Visual Generation and Inference with Energy Based Models Yilun Du Shuang Li Igor Mordatch CoGe 85 23 0 13 Apr 2020
Variational Autoencoders with Normalizing Flow Decoders Rogan Morrow Wei-Chen Chiu DRL 46 19 0 12 Apr 2020
Decoupling Global and Local Representations via Invertible Generative Flows Xuezhe Ma X. Kong Shanghang Zhang Eduard H. Hovy DRL 84 3 0 12 Apr 2020
Depthwise Discrete Representation Learning Iordanis Fostiropoulos BDL 38 0 0 11 Apr 2020
A Review on Deep Learning Techniques for Video Prediction Sergiu Oprea P. Martinez-Gonzalez Alberto Garcia-Garcia John Alejandro Castro-Vargas S. Orts-Escolano Jose Garcia-Rodriguez Antonis Argyros 109 256 0 10 Apr 2020
Adversarial Latent Autoencoders Stanislav Pidhorskyi Donald Adjeroh Gianfranco Doretto GAN DRL 97 261 0 09 Apr 2020
Normalizing Flows with Multi-Scale Autoregressive Priors Shweta Mahajan Apratim Bhattacharyya Mario Fritz Bernt Schiele Stefan Roth BDL DRL 53 17 0 08 Apr 2020
State of the Art on Neural Rendering A. Tewari Ohad Fried Justus Thies Vincent Sitzmann Stephen Lombardi ... Christian Theobalt Maneesh Agrawala Eli Shechtman Dan B. Goldman Michael Zollhöfer 3DH 3DV 131 473 0 08 Apr 2020
Semantic Image Manipulation Using Scene Graphs Helisa Dhamo Azade Farshad Iro Laina Nassir Navab Gregory Hager Federico Tombari Christian Rupprecht 113 121 0 07 Apr 2020
PatchVAE: Learning Local Latent Codes for Recognition Kamal Gupta Saurabh Singh Abhinav Shrivastava SSL DRL 51 20 0 07 Apr 2020
Training End-to-end Single Image Generators without GANs Yael Vinker Nir Zabari Yedid Hoshen 34 1 0 07 Apr 2020
Lossless Image Compression through Super-Resolution Shengcao Cao Chaoxia Wu Philipp Krahenbuhl 72 40 0 06 Apr 2020
Levels of Analysis for Machine Learning Jessica B. Hamrick S. Mohamed 53 16 0 06 Apr 2020
TraDE: Transformers for Density Estimation Rasool Fakoor Pratik Chaudhari Jonas W. Mueller Alex Smola 86 30 0 06 Apr 2020
Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds Yongming Rao Jiwen Lu Jie Zhou 3DPC 73 133 0 29 Mar 2020
MCFlow: Monte Carlo Flow Models for Data Imputation Trevor W. Richardson Wencheng Wu Lei Lin Beilei Xu Edgar A. Bernal OOD 80 48 0 27 Mar 2020
A Survey of Deep Learning for Scientific Discovery M. Raghu Erica Schmidt OOD AI4CE 182 123 0 26 Mar 2020
BachGAN: High-Resolution Image Synthesis from Salient Object Layout Yandong Li Yu Cheng Zhe Gan Licheng Yu Liqiang Wang Jingjing Liu 105 39 0 26 Mar 2020
Learning Layout and Style Reconfigurable GANs for Controllable Image Synthesis Wei Sun Tianfu Wu 97 84 0 25 Mar 2020
MetNet: A Neural Weather Model for Precipitation Forecasting C. Sønderby L. Espeholt Jonathan Heek Mostafa Dehghani Avital Oliver Tim Salimans Shreya Agrawal Jason Hickey Nal Kalchbrenner AI4Cl 309 278 0 24 Mar 2020
Learning Better Lossless Compression Using Lossy Compression Fabian Mentzer Luc Van Gool Michael Tschannen 146 72 0 23 Mar 2020
Photo-Realistic Video Prediction on Natural Videos of Largely Changing Frames O. Shouno GAN 88 21 0 19 Mar 2020
SwapText: Image Based Texts Transfer in Scenes Qiangpeng Yang Hongsheng Jin Jun Huang Wei Lin DiffM 87 68 0 18 Mar 2020
Blur, Noise, and Compression Robust Generative Adversarial Networks Takuhiro Kaneko Tatsuya Harada 94 17 0 17 Mar 2020
Learning to Structure an Image with Few Colors Yunzhong Hou Liang Zheng Stephen Gould MQ 90 20 0 17 Mar 2020
Belief Propagation Reloaded: Learning BP-Layers for Labeling Problems Patrick Knöbelreiter Christian Sormann Alexander Shekhovtsov Friedrich Fraundorfer Thomas Pock 74 22 0 13 Mar 2020
Autoencoders Dor Bank Noam Koenigstein Raja Giryes HAI 36 0 0 12 Mar 2020
Generalized Energy Based Models Michael Arbel Liang Zhou Arthur Gretton DRL 179 81 0 10 Mar 2020
Using an ensemble color space model to tackle adversarial examples Shreyank N. Gowda C. Yuan AAML 30 1 0 10 Mar 2020
GPCA: A Probabilistic Framework for Gaussian Process Embedded Channel Attention Jiyang Xie Dongliang Chang Zhanyu Ma Guoqiang Zhang Jun Guo 68 25 0 10 Mar 2020
Adversarial Attacks on Probabilistic Autoregressive Forecasting Models Raphaël Dang-Nhu Gagandeep Singh Pavol Bielik Martin Vechev AI4TS AAML 84 21 0 08 Mar 2020
Training Deep Energy-Based Models with f-Divergence Minimization Lantao Yu Yang Song Jiaming Song Stefano Ermon 238 44 0 06 Mar 2020
Finding online neural update rules by learning to remember Karol Gregor CLL 78 6 0 06 Mar 2020
Deterministic Decoding for Discrete Data in Variational Autoencoders Daniil Polykovskiy Dmitry Vetrov OffRL 69 8 0 04 Mar 2020
Watch and learn -- a generalized approach for transferrable learning in deep neural networks via physical principles Kyle Sprague Juan Carrasquilla S. Whitelam Isaac Tamblyn FedML AI4CE OOD 34 5 0 03 Mar 2020
Learning to Collide: An Adaptive Safety-Critical Scenarios Generating Method Wenhao Ding Baiming Chen Minjun Xu Ding Zhao 81 114 0 02 Mar 2020
DGST : Discriminator Guided Scene Text detector Jinyuan Zhao Yanna Wang Baihua Xiao Cunzhao Shi Fuxi Jia Chunheng Wang 22 0 0 28 Feb 2020
Woodbury Transformations for Deep Generative Flows You Lu Bert Huang 85 16 0 27 Feb 2020
Hierarchical Memory Decoding for Video Captioning Aming Wu Yahong Han 44 2 0 27 Feb 2020
Policy Evaluation Networks J. Harb Tom Schaul Doina Precup Pierre-Luc Bacon OffRL 60 37 0 26 Feb 2020
Learning to Select Bi-Aspect Information for Document-Scale Text Content Manipulation Xiaocheng Feng Yawei Sun Bing Qin Heng Gong Yibo Sun Wei Bi Xiaojiang Liu Ting Liu 41 5 0 24 Feb 2020
PolyGen: An Autoregressive Generative Model of 3D Meshes C. Nash Yaroslav Ganin A. Eslami Peter W. Battaglia AI4CE 112 262 0 23 Feb 2020
Predictive Sampling with Forecasting Autoregressive Models Auke Wiggers Emiel Hoogeboom BDL 68 16 0 23 Feb 2020
VFlow: More Expressive Generative Flows with Variational Data Augmentation Jianfei Chen Cheng Lu Biqi Chenli Jun Zhu Tian Tian DRL 92 63 0 22 Feb 2020
MAST: A Memory-Augmented Self-supervised Tracker Zihang Lai Erika Lu Weidi Xie VOS 114 186 0 18 Feb 2020
SentenceMIM: A Latent Variable Language Model M. Livne Kevin Swersky David J. Fleet VLM 96 6 0 18 Feb 2020
A Survey of Deep Learning Techniques for Neural Machine Translation Shu Yang Yuxin Wang Xiaowen Chu VLM AI4TS AI4CE 106 140 0 18 Feb 2020
Deep Gaussian Markov Random Fields Per Sidén Fredrik Lindsten BDL 59 22 0 18 Feb 2020
Augmented Normalizing Flows: Bridging the Gap Between Generative Flows and Latent Variable Models Chin-Wei Huang Laurent Dinh Aaron Courville DRL 115 89 0 17 Feb 2020