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Pixel Recurrent Neural Networks

25 January 2016

Papers citing "Pixel Recurrent Neural Networks"

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Title
Attentive Gaussian processes for probabilistic time-series generation Kuilin Chen Chi-Guhn Lee AI4TS 25 1 0 10 Feb 2021
Colorization Transformer Manoj Kumar Dirk Weissenborn Nal Kalchbrenner ViT 346 160 0 08 Feb 2021
HGAN: Hybrid Generative Adversarial Network Seyed Mehdi Iranmanesh Nasser M. Nasrabadi GAN 37 4 0 07 Feb 2021
Invertible DenseNets with Concatenated LipSwish Yura Perugachi-Diaz Jakub M. Tomczak Sandjai Bhulai 137 20 0 04 Feb 2021
Towards Robust Neural Networks via Close-loop Control Zhuotong Chen Qianxiao Li Zheng Zhang OOD AAML 82 25 0 03 Feb 2021
Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting Kashif Rasul Calvin Seward Ingmar Schuster Roland Vollgraf DiffM 179 320 0 28 Jan 2021
VAE^2: Preventing Posterior Collapse of Variational Video Predictions in the Wild Yizhou Zhou Chong Luo Xiaoyan Sun Zhengjun Zha Wenjun Zeng VGen 29 2 0 28 Jan 2021
Adversarial Text-to-Image Synthesis: A Review Stanislav Frolov Tobias Hinz Federico Raue Jörn Hees Andreas Dengel EGVM 84 178 0 25 Jan 2021
Maximum Likelihood Training of Score-Based Diffusion Models Yang Song Conor Durkan Iain Murray Stefano Ermon DiffM 230 676 0 22 Jan 2021
Image-to-Image Translation: Methods and Applications Yingxue Pang Jianxin Lin Tao Qin Zhibo Chen VLM 115 267 0 21 Jan 2021
Stable Recovery of Entangled Weights: Towards Robust Identification of Deep Neural Networks from Minimal Samples Christian Fiedler M. Fornasier T. Klock Michael Rauchensteiner OOD 45 13 0 18 Jan 2021
SceneGen: Learning to Generate Realistic Traffic Scenes Shuhan Tan K. Wong Shenlong Wang S. Manivasagam Mengye Ren R. Urtasun 92 107 0 16 Jan 2021
GAN Inversion: A Survey Weihao Xia Yulun Zhang Yujiu Yang Jing-Hao Xue Bolei Zhou Ming-Hsuan Yang DiffM 251 521 0 14 Jan 2021
How to Train Your Energy-Based Models Yang Song Diederik P. Kingma DiffM 104 265 0 09 Jan 2021
Cauchy-Schwarz Regularized Autoencoder Linh-Tam Tran Maja Pantic M. Deisenroth DRL BDL 75 17 0 06 Jan 2021
Stochastic Action Prediction for Imitation Learning S. Venkatesh N. Rathod Shishir Kolathaya B. Amrutur 32 0 0 26 Dec 2020
Direct Estimation of Spinal Cobb Angles by Structured Multi-Output Regression Haoliang Sun Xiantong Zhen C. Bailey P. Rasoulinejad Yilong Yin Shuo Li CML 59 108 0 23 Dec 2020
Taming Transformers for High-Resolution Image Synthesis Patrick Esser Robin Rombach Bjorn Ommer ViT 141 3,015 0 17 Dec 2020
Soft Compression for Lossless Image Coding Gangtao Xin Pingyi Fan 47 6 0 11 Dec 2020
Full-Glow: Fully conditional Glow for more realistic image generation Moein Sorkhei G. Henter Hedvig Kjellström 55 6 0 10 Dec 2020
Bayesian Image Reconstruction using Deep Generative Models Razvan Marinescu Daniel Moyer Polina Golland OOD DiffM 116 41 0 08 Dec 2020
Data InStance Prior (DISP) in Generative Adversarial Networks Puneet Mangla Nupur Kumari M. Singh Balaji Krishnamurthy V. Balasubramanian GAN 68 10 0 08 Dec 2020
Generating unseen complex scenes: are we there yet? Arantxa Casanova M. Drozdzal Adriana Romero Soriano 86 13 0 07 Dec 2020
Perfect density models cannot guarantee anomaly detection Charline Le Lan Laurent Dinh 100 50 0 07 Dec 2020
Probabilistic Tracklet Scoring and Inpainting for Multiple Object Tracking F. Saleh S. Aliakbarian Hamid Rezatofighi Mathieu Salzmann Stephen Gould VOT 83 74 0 03 Dec 2020
Improved Contrastive Divergence Training of Energy Based Models Yilun Du Shuang Li J. Tenenbaum Igor Mordatch 141 144 0 02 Dec 2020
Unsupervised Anomaly Detection From Semantic Similarity Scores Nima Rafiee Rahil Gholamipoor M. Kollmann OODD 60 2 0 01 Dec 2020
Learning-based lossless compression of 3D point cloud geometry D. Nguyen Maurice Quach G. Valenzise Pierre Duhamel 3DPC 48 54 0 30 Nov 2020
Image Generators with Conditionally-Independent Pixel Synthesis Ivan Anokhin K. Demochkin Taras Khakhulin Gleb Sterkin Victor Lempitsky Denis Korzhenkov 82 158 0 27 Nov 2020
Cycle-consistent Generative Adversarial Networks for Neural Style Transfer using data from ChangÉ-4 J. D. Curtó R. Duvall GAN 34 3 0 23 Nov 2020
End-To-End Dilated Variational Autoencoder with Bottleneck Discriminative Loss for Sound Morphing -- A Preliminary Study Matteo Lionello Hendrik Purwins 59 0 0 19 Nov 2020
Causal Contextual Prediction for Learned Image Compression Zongyu Guo Zhizheng Zhang Runsen Feng Zhibo Chen CML 77 144 0 19 Nov 2020
Predictive Coding, Variational Autoencoders, and Biological Connections Joseph Marino DRL AI4CE 95 45 0 15 Nov 2020
Testing for Typicality with Respect to an Ensemble of Learned Distributions F. Laine Claire Tomlin 56 0 0 11 Nov 2020
Detecting Outliers with Foreign Patch Interpolation Jeremy Tan Benjamin Hou James Batten Huaqi Qiu Bernhard Kainz MedIm 75 50 0 09 Nov 2020
Learning and Evaluating Representations for Deep One-class Classification Kihyuk Sohn Chun-Liang Li Jinsung Yoon Minho Jin Tomas Pfister SSL 177 203 0 04 Nov 2020
Synthetic Data Generation for Economists Allison Koenecke H. Varian 31 8 0 02 Nov 2020
Data-free Knowledge Distillation for Segmentation using Data-Enriching GAN Kaushal Bhogale 26 3 0 02 Nov 2020
Context-based Image Segment Labeling (CBISL) T. Schlagenhauf Ye Xia J. Fleischer 14 0 0 02 Nov 2020
A Survey on Contrastive Self-supervised Learning Ashish Jaiswal Ashwin Ramesh Babu Mohammad Zaki Zadeh Debapriya Banerjee F. Makedon SSL 154 1,412 0 31 Oct 2020
The ELBO of Variational Autoencoders Converges to a Sum of Three Entropies Simon Damm D. Forster Dmytro Velychko Zhenwen Dai Asja Fischer Jörg Lücke DRL 69 5 0 28 Oct 2020
Scaling Laws for Autoregressive Generative Modeling T. Henighan Jared Kaplan Mor Katz Mark Chen Christopher Hesse ... Nick Ryder Daniel M. Ziegler John Schulman Dario Amodei Sam McCandlish 143 434 0 28 Oct 2020
Wavelet Flow: Fast Training of High Resolution Normalizing Flows Jason J. Yu Konstantinos G. Derpanis Marcus A. Brubaker TPM 166 41 0 26 Oct 2020
Autoregressive Score Matching Chenlin Meng Lantao Yu Yang Song Jiaming Song Stefano Ermon DiffM 241 14 0 24 Oct 2020
Neural Approximate Sufficient Statistics for Implicit Models Yanzhi Chen Dinghuai Zhang Michael U. Gutmann Aaron Courville Zhanxing Zhu 423 85 0 20 Oct 2020
Imitation with Neural Density Models Kuno Kim Akshat Jindal Yang Song Jiaming Song Yanan Sui Stefano Ermon 84 13 0 19 Oct 2020
Unsupervised Video Anomaly Detection via Normalizing Flows with Implicit Latent Features Myeongah Cho Taeoh Kim Woojin Kim Suhwan Cho Sangyoun Lee 98 95 0 15 Oct 2020
Do Language Embeddings Capture Scales? Xikun Zhang Deepak Ramachandran Ian Tenney Yanai Elazar Dan Roth MILM ReLM LRM 99 94 0 11 Oct 2020
Advanced Dropout: A Model-free Methodology for Bayesian Dropout Optimization Jiyang Xie Zhanyu Ma and Jianjun Lei Guoqiang Zhang Jing-Hao Xue Zheng-Hua Tan Jun Guo BDL 26 46 0 11 Oct 2020
Generative Autoregressive Ensembles for Satellite Imagery Manipulation Detection D. M. Montserrat János Horváth S. Yarlagadda Fengqing Zhu Edward J. Delp 66 15 0 08 Oct 2020