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Pixel Recurrent Neural Networks

25 January 2016

Papers citing "Pixel Recurrent Neural Networks"

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Title
Tractable Density Estimation on Learned Manifolds with Conformal Embedding Flows Brendan Leigh Ross Jesse C. Cresswell TPM 85 32 0 09 Jun 2021
Densely connected normalizing flows Matej Grcić Ivan Grubišić Sinisa Segvic TPM 99 59 0 08 Jun 2021
Generative Flows with Invertible Attentions R. Sukthanker Zhiwu Huang Suryansh Kumar Radu Timofte Luc Van Gool 54 14 0 07 Jun 2021
On Training Sample Memorization: Lessons from Benchmarking Generative Modeling with a Large-scale Competition C. Bai Hsuan-Tien Lin Colin Raffel Wendy Kan 48 35 0 06 Jun 2021
CAFLOW: Conditional Autoregressive Flows Georgios Batzolis M. Carioni Christian Etmann S. Afyouni Zoe Kourtzi Carola Bibiane Schönlieb 64 2 0 04 Jun 2021
The Image Local Autoregressive Transformer Chenjie Cao Yue Hong Xiang Li Chengrong Wang C. Xu Xiangyang Xue Yanwei Fu 82 13 0 04 Jun 2021
CVaR-based Flight Energy Risk Assessment for Multirotor UAVs using a Deep Energy Model Arnav Choudhry Brady G. Moon Jay Patrikar C. Samaras Sebastian Scherer 62 24 0 31 May 2021
Cascaded Diffusion Models for High Fidelity Image Generation Jonathan Ho Chitwan Saharia William Chan David J. Fleet Mohammad Norouzi Tim Salimans 231 1,244 0 30 May 2021
Deconvolutional Density Network: Modeling Free-Form Conditional Distributions Bing Chen Mazharul Islam Jisuo Gao Lin Wang BDL CML 72 7 0 29 May 2021
Fair Representations by Compression Xavier Gitiaux Huzefa Rangwala FaML 114 14 0 28 May 2021
CogView: Mastering Text-to-Image Generation via Transformers Ming Ding Zhuoyi Yang Wenyi Hong Wendi Zheng Chang Zhou ... Junyang Lin Xu Zou Zhou Shao Hongxia Yang Jie Tang ViT VLM 158 784 0 26 May 2021
Self-Supervised Graph Representation Learning via Topology Transformations Xiang Gao Wei Hu Guo-Jun Qi SSL 47 4 0 25 May 2021
Combining Transformer Generators with Convolutional Discriminators Ricard Durall Stanislav Frolov Jörn Hees Federico Raue Franz-Josef Pfreundt Andreas Dengel J. Keuper ViT 68 16 0 21 May 2021
Parallel and Flexible Sampling from Autoregressive Models via Langevin Dynamics V. Jayaram John Thickstun DiffM 107 25 0 17 May 2021
Autoencoding Under Normalization Constraints Sangwoong Yoon Yung-Kyun Noh Frank C. Park OODD UQCV 84 39 0 12 May 2021
Unbiased Monte Carlo Cluster Updates with Autoregressive Neural Networks Dian Wu R. Rossi Giuseppe Carleo 101 30 0 12 May 2021
Unsupervised Representation Learning from Pathology Images with Multi-directional Contrastive Predictive Coding Jacob Carse F. Carey S. McKenna SSL MedIm 72 9 0 11 May 2021
Latency-Controlled Neural Architecture Search for Streaming Speech Recognition Liqiang He Shulin Feng Jane Polak Scowcroft Dong Yu 54 0 0 08 May 2021
ECLIPSE : Envisioning CLoud Induced Perturbations in Solar Energy Quentin Paletta Anthony Hu Guillaume Arbod Joan Lasenby 110 36 0 26 Apr 2021
Lossless Compression with Latent Variable Models James Townsend BDL DRL 76 6 0 21 Apr 2021
VideoGPT: Video Generation using VQ-VAE and Transformers Wilson Yan Yunzhi Zhang Pieter Abbeel A. Srinivas ViT VGen 317 513 0 20 Apr 2021
Review of end-to-end speech synthesis technology based on deep learning Zhaoxi Mu Xinyu Yang Yizhuo Dong AuLLM ALM 94 25 0 20 Apr 2021
Distill on the Go: Online knowledge distillation in self-supervised learning Prashant Shivaram Bhat Elahe Arani Bahram Zonooz SSL 68 30 0 20 Apr 2021
Multiscale deep context modeling for lossless point cloud geometry compression D. Nguyen Maurice Quach G. Valenzise Pierre Duhamel 3DPC 47 46 0 20 Apr 2021
Deep Data Density Estimation through Donsker-Varadhan Representation Seonho Park P. Pardalos BDL 22 6 0 14 Apr 2021
Boltzmann Tuning of Generative Models Victor Berger Michele Sebag 55 0 0 12 Apr 2021
Flow-based Spatio-Temporal Structured Prediction of Motion Dynamics Mohsen Zand Ali Etemad Michael A. Greenspan AI4CE 80 6 0 09 Apr 2021
InfinityGAN: Towards Infinite-Pixel Image Synthesis C. Lin Hsin-Ying Lee Yen-Chi Cheng Sergey Tulyakov Ming-Hsuan Yang 101 71 0 08 Apr 2021
Creativity and Machine Learning: A Survey Giorgio Franceschelli Mirco Musolesi VLM AI4CE 129 43 0 06 Apr 2021
$Learning Scalable $\ell_\infty$-constrained Near-lossless Image Compression via Joint Lossy Image and Residual Compression$ Learning Scalable $\ell_\infty$ -constrained Near-lossless Image Compression via Joint Lossy Image and Residual Compression Yuanchao Bai Xianming Liu W. Zuo Yaowei Wang Xiangyang Ji MQ 65 26 0 31 Mar 2021
Sign Language Production: A Review R. Rastgoo Kourosh Kiani Sergio Escalera Mohammad Sabokrou 80 56 0 29 Mar 2021
PixelTransformer: Sample Conditioned Signal Generation Shubham Tulsiani Abhinav Gupta 76 17 0 29 Mar 2021
SetVAE: Learning Hierarchical Composition for Generative Modeling of Set-Structured Data Jinwoo Kim Jaehoon Yoo Juho Lee Seunghoon Hong BDL DRL 3DPC 90 83 0 29 Mar 2021
Improved Autoregressive Modeling with Distribution Smoothing Chenlin Meng Jiaming Song Yang Song Shengjia Zhao Stefano Ermon DiffM 76 23 0 28 Mar 2021
Out-of-Distribution Detection of Melanoma using Normalizing Flows M. Valiuddin C.G.A. Viviers OODD 48 0 0 23 Mar 2021
Generating Diverse Structure for Image Inpainting With Hierarchical VQ-VAE Jialun Peng Dong Liu Songcen Xu Houqiang Li DiffM 61 196 0 18 Mar 2021
Audio Description from Image by Modal Translation Network Hailong Ning Xiangtao Zheng Yuan Yuan Xiaoqiang Lu DiffM 41 17 0 18 Mar 2021
Spatial Dependency Networks: Neural Layers for Improved Generative Image Modeling DJordje Miladinović Aleksandar Stanić Stefan Bauer Jürgen Schmidhuber J. M. Buhmann DRL 76 9 0 16 Mar 2021
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models Sam Bond-Taylor Adam Leach Yang Long Chris G. Willcocks VLM TPM 176 510 0 08 Mar 2021
Repurposing GANs for One-shot Semantic Part Segmentation Nontawat Tritrong Pitchaporn Rewatbowornwong Supasorn Suwajanakorn 119 109 0 07 Mar 2021
Generating Images with Sparse Representations C. Nash Jacob Menick Sander Dieleman Peter W. Battaglia 93 211 0 05 Mar 2021
A Cross Channel Context Model for Latents in Deep Image Compression Changyue Ma Zhao Wang Ru-Ling Liao Yan Ye 48 18 0 04 Mar 2021
Predicting Video with VQVAE Jacob Walker Ali Razavi Aaron van den Oord DRL 128 69 0 02 Mar 2021
Self-Supervised Multi-View Learning via Auto-Encoding 3D Transformations Xiang Gao Wei Hu Guo-Jun Qi 78 6 0 01 Mar 2021
Countering Malicious DeepFakes: Survey, Battleground, and Horizon Felix Juefei Xu Run Wang Yihao Huang Qing Guo Lei Ma Yang Liu AAML 110 138 0 27 Feb 2021
Bayesian OOD detection with aleatoric uncertainty and outlier exposure Xi Wang Laurence Aitchison UD 87 15 0 24 Feb 2021
Anytime Sampling for Autoregressive Models via Ordered Autoencoding Yilun Xu Yang Song Sahaj Garg Linyuan Gong Rui Shu Aditya Grover Stefano Ermon DiffM 80 11 0 23 Feb 2021
Trumpets: Injective Flows for Inference and Inverse Problems K. Kothari AmirEhsan Khorashadizadeh Maarten V. de Hoop Ivan Dokmanić TPM 56 50 0 20 Feb 2021
Improved Denoising Diffusion Probabilistic Models Alex Nichol Prafulla Dhariwal DiffM 359 3,747 0 18 Feb 2021
Hierarchical VAEs Know What They Don't Know Jakob Drachmann Havtorn J. Frellsen Søren Hauberg Lars Maaløe DRL 116 74 0 16 Feb 2021