PixelPyramids: Exact Inference Models from Lossless Image Pyramids

17 October 2021

Papers citing "PixelPyramids: Exact Inference Models from Lossless Image Pyramids"

42 / 42 papers shown

Title
Wavelet Flow: Fast Training of High Resolution Normalizing Flows Jason J. Yu Konstantinos G. Derpanis Marcus A. Brubaker TPM 130 41 0 26 Oct 2020
Haar Wavelet based Block Autoregressive Flows for Trajectories Apratim Bhattacharyya C. Straehle Mario Fritz Bernt Schiele AI4TS 43 15 0 21 Sep 2020
SRFlow: Learning the Super-Resolution Space with Normalizing Flow Andreas Lugmayr Martin Danelljan Luc Van Gool Radu Timofte SupR DRL 72 360 0 25 Jun 2020
Normalizing Flows with Multi-Scale Autoregressive Priors Shweta Mahajan Apratim Bhattacharyya Mario Fritz Bernt Schiele Stefan Roth BDL DRL 34 16 0 08 Apr 2020
Lossless Image Compression through Super-Resolution Shengcao Cao Chaoxia Wu Philipp Krahenbuhl 56 40 0 06 Apr 2020
Predictive Sampling with Forecasting Autoregressive Models Auke Wiggers Emiel Hoogeboom BDL 51 16 0 23 Feb 2020
Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving Yang Song Chenlin Meng Renjie Liao Stefano Ermon 36 28 0 10 Feb 2020
Guided Image Generation with Conditional Invertible Neural Networks Lynton Ardizzone Carsten T. Lüth Jakob Kruse Carsten Rother Ullrich Kothe DRL 81 294 0 04 Jul 2019
Generating Diverse High-Fidelity Images with VQ-VAE-2 Ali Razavi Aaron van den Oord Oriol Vinyals DRL BDL 123 1,810 0 02 Jun 2019
MaCow: Masked Convolutional Generative Flow Xuezhe Ma Xiang Kong Shanghang Zhang Eduard H. Hovy DRL 48 66 0 12 Feb 2019
Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design Jonathan Ho Xi Chen A. Srinivas Yan Duan Pieter Abbeel DRL 80 449 0 01 Feb 2019
Emerging Convolutions for Generative Normalizing Flows Emiel Hoogeboom Rianne van den Berg Max Welling DRL 104 98 0 30 Jan 2019
Generating High Fidelity Images with Subscale Pixel Networks and Multidimensional Upscaling Jacob Menick Nal Kalchbrenner 69 151 0 04 Dec 2018
Invertible Residual Networks Jens Behrmann Will Grathwohl Ricky T. Q. Chen David Duvenaud J. Jacobsen UQCV TPM 118 623 0 02 Nov 2018
Hierarchical Generative Modeling for Controllable Speech Synthesis Wei-Ning Hsu Yu Zhang Ron J. Weiss Heiga Zen Yonghui Wu ... Ye Jia Zhiwen Chen Jonathan Shen Patrick Nguyen Ruoming Pang BDL 66 275 0 16 Oct 2018
Large Scale GAN Training for High Fidelity Natural Image Synthesis Andrew Brock Jeff Donahue Karen Simonyan 240 5,391 0 28 Sep 2018
Glow: Generative Flow with Invertible 1x1 Convolutions Diederik P. Kingma Prafulla Dhariwal BDL DRL 285 3,128 0 09 Jul 2018
The challenge of realistic music generation: modelling raw audio at scale Sander Dieleman Aaron van den Oord Karen Simonyan 84 185 0 26 Jun 2018
Deep Generative Models for Distribution-Preserving Lossy Compression Michael Tschannen E. Agustsson Mario Lucic 30 131 0 28 May 2018
Efficient Neural Audio Synthesis Nal Kalchbrenner Erich Elsen Karen Simonyan Seb Noury Norman Casagrande Edward Lockhart Florian Stimberg Aaron van den Oord Sander Dieleman Koray Kavukcuoglu 87 867 0 23 Feb 2018
Image Transformer Niki Parmar Ashish Vaswani Jakob Uszkoreit Lukasz Kaiser Noam M. Shazeer Alexander Ku Dustin Tran ViT 126 1,679 0 15 Feb 2018
PixelSNAIL: An Improved Autoregressive Generative Model Xi Chen Nikhil Mishra Mostafa Rohaninejad Pieter Abbeel DRL DiffM BDL GAN 65 275 0 28 Dec 2017
Parallel WaveNet: Fast High-Fidelity Speech Synthesis Aaron van den Oord Yazhe Li Igor Babuschkin Karen Simonyan Oriol Vinyals ... Alex Graves Helen King T. Walters Dan Belov Demis Hassabis 205 858 0 28 Nov 2017
Progressive Growing of GANs for Improved Quality, Stability, and Variation Tero Karras Timo Aila S. Laine J. Lehtinen GAN 119 7,351 0 27 Oct 2017
Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model Xingjian Shi Zhihan Gao Leonard Lausen Hao Wang Dit-Yan Yeung W. Wong W. Woo 63 797 0 12 Jun 2017
Parallel Multiscale Autoregressive Density Estimation Scott E. Reed Aaron van den Oord Nal Kalchbrenner Sergio Gomez Colmenarejo Ziyun Wang Dan Belov Nando de Freitas BDL 75 204 0 10 Mar 2017
PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications Tim Salimans A. Karpathy Xi Chen Diederik P. Kingma 97 941 0 19 Jan 2017
Conditional Image Generation with PixelCNN Decoders Aaron van den Oord Nal Kalchbrenner Oriol Vinyals L. Espeholt Alex Graves Koray Kavukcuoglu VLM 189 2,509 0 16 Jun 2016
Improving Variational Inference with Inverse Autoregressive Flow Diederik P. Kingma Tim Salimans Rafal Jozefowicz Xi Chen Ilya Sutskever Max Welling BDL DRL 133 1,818 0 15 Jun 2016
Faster Eigenvector Computation via Shift-and-Invert Preconditioning Dan Garber Laurent Dinh Chi Jin Jascha Narain Sohl-Dickstein Samy Bengio Praneeth Netrapalli Aaron Sidford 258 78 0 26 May 2016
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 455 2,567 0 25 Jan 2016
Density Modeling of Images using a Generalized Normalization Transformation Johannes Ballé Valero Laparra Eero P. Simoncelli 41 389 0 19 Nov 2015
Super-Resolution with Deep Convolutional Sufficient Statistics Joan Bruna Pablo Sprechmann Yann LeCun SupR 51 326 0 18 Nov 2015
Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks Emily L. Denton Soumith Chintala Arthur Szlam Rob Fergus GAN 90 2,241 0 18 Jun 2015
Generative Image Modeling Using Spatial LSTMs Lucas Theis Matthias Bethge GAN VLM 58 200 0 10 Jun 2015
LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop Feng Yu Ari Seff Yinda Zhang Shuran Song Thomas Funkhouser Jianxiong Xiao 67 2,336 0 10 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.8K 77,099 0 18 May 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.7K 150,006 0 22 Dec 2014
NICE: Non-linear Independent Components Estimation Laurent Dinh David M. Krueger Yoshua Bengio DRL BDL 121 2,258 0 30 Oct 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.6K 39,509 0 01 Sep 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 435 16,940 0 20 Dec 2013
Generating Sequences With Recurrent Neural Networks Alex Graves GAN 140 4,033 0 04 Aug 2013