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Pixel Recurrent Neural Networks

25 January 2016

Papers citing "Pixel Recurrent Neural Networks"

50 / 1,388 papers shown

Title
VP-GO: a "light" action-conditioned visual prediction model Anji Ma Yoann Fleytoux Jean-Baptiste Mouret S. Ivaldi 66 0 0 26 Sep 2021
Structure-Preserving Image Super-Resolution Cheng Ma Yongming Rao Jiwen Lu Jie Zhou SupR 100 68 0 26 Sep 2021
Two Souls in an Adversarial Image: Towards Universal Adversarial Example Detection using Multi-view Inconsistency Sohaib Kiani S. Awan Chao Lan Fengjun Li Bo Luo GAN AAML 44 7 0 25 Sep 2021
Attentive Contractive Flow with Lipschitz-constrained Self-Attention Avideep Mukherjee Badri N. Patro Vinay P. Namboodiri 51 0 0 24 Sep 2021
On Bonus-Based Exploration Methods in the Arcade Learning Environment Adrien Ali Taïga W. Fedus Marlos C. Machado Aaron Courville Marc G. Bellemare 57 61 0 22 Sep 2021
Learning Contrastive Representation for Semantic Correspondence Taihong Xiao Sifei Liu Shalini De Mello Zhiding Yu Jan Kautz Ming-Hsuan Yang SSL 149 15 0 22 Sep 2021
Context-aware Padding for Semantic Segmentation Yu-Hui Huang Marc Proesmans Luc Van Gool SSeg VLM 96 5 0 16 Sep 2021
Intuitive and Efficient Roof Modeling for Reconstruction and Synthesis Jing Ren Biao Zhang Bojian Wu Jianqiang Huang Lubin Fan M. Ovsjanikov Peter Wonka 63 19 0 16 Sep 2021
MRI Reconstruction Using Deep Energy-Based Model Yu Guan Zongjiang Tu Shanshan Wang Qiegen Liu Yuhao Wang Dong Liang DiffM MedIm 84 14 0 07 Sep 2021
Image Compression with Recurrent Neural Network and Generalized Divisive Normalization Khawar Islam L. Dang Sujin Lee Hyeon J. Moon 76 30 0 05 Sep 2021
On the Out-of-distribution Generalization of Probabilistic Image Modelling Mingtian Zhang Andi Zhang Jingyu Sun OODD 150 45 0 04 Sep 2021
Lossless Image Compression Using a Multi-Scale Progressive Statistical Model Honglei Zhang Francesco Cricri Hamed R. Tavakoli Nannan Zou Emre B. Aksu M. Hannuksela 87 18 0 24 Aug 2021
Image coding for machines: an end-to-end learned approach Nam Le Honglei Zhang Francesco Cricri Ramin Ghaznavi-Youvalari Esa Rahtu 63 94 0 23 Aug 2021
L3C-Stereo: Lossless Compression for Stereo Images Zihao Huang Zhe Sun Feng Duan A. Cichocki Peiying Ruan Chong Li 3DV 59 8 0 21 Aug 2021
Robust outlier detection by de-biasing VAE likelihoods Kushal Chauhan Barath Mohan Umapathi Pradeep Shenoy Manish Gupta D. Sridharan DRL 96 10 0 19 Aug 2021
PixelSynth: Generating a 3D-Consistent Experience from a Single Image C. Rockwell David Fouhey Justin Johnson VGen 146 85 0 12 Aug 2021
BIGRoC: Boosting Image Generation via a Robust Classifier Roy Ganz Michael Elad 69 10 0 08 Aug 2021
Pro-UIGAN: Progressive Face Hallucination from Occluded Thumbnails Yang Zhang Xin Yu Xiaobo Lu Ping Liu SupR CVBM 96 16 0 02 Aug 2021
Tensor-Train Density Estimation Georgii Sergeevich Novikov Maxim Panov Ivan Oseledets 96 35 0 30 Jul 2021
Pixyz: a Python library for developing deep generative models Masahiro Suzuki T. Kaneko Y. Matsuo AI4CE 83 3 0 28 Jul 2021
ANFIC: Image Compression Using Augmented Normalizing Flows Yung-Han Ho Chih-Chun Chan Wen-Hsiao Peng Hsueh-Ming Hang Marek Domanski 62 46 0 18 Jul 2021
Hierarchical Reinforcement Learning with Optimal Level Synchronization based on a Deep Generative Model JaeYoon Kim Junyu Xuan Christy Jie Liang F. Hussain 29 0 0 17 Jul 2021
Understanding Failures in Out-of-Distribution Detection with Deep Generative Models Lily H. Zhang Mark Goldstein Rajesh Ranganath OODD 200 106 0 14 Jul 2021
Detect and Defense Against Adversarial Examples in Deep Learning using Natural Scene Statistics and Adaptive Denoising Anouar Kherchouche Sid Ahmed Fezza W. Hamidouche AAML 72 9 0 12 Jul 2021
Combiner: Full Attention Transformer with Sparse Computation Cost Hongyu Ren H. Dai Zihang Dai Mengjiao Yang J. Leskovec Dale Schuurmans Bo Dai 166 80 0 12 Jul 2021
Deep Image Synthesis from Intuitive User Input: A Review and Perspectives Yuan Xue Yuanchen Guo Han Zhang Tao Xu Song-Hai Zhang Xiaolei Huang EGVM 3DV 74 22 0 09 Jul 2021
Causal affect prediction model using a facial image sequence Geesung Oh Euiseok Jeong Sejoon Lim CVBM 69 12 0 08 Jul 2021
Evaluating Large Language Models Trained on Code Mark Chen Jerry Tworek Heewoo Jun Qiming Yuan Henrique Pondé ... Bob McGrew Dario Amodei Sam McCandlish Ilya Sutskever Wojciech Zaremba ELM ALM 292 5,698 0 07 Jul 2021
Structured Denoising Diffusion Models in Discrete State-Spaces Jacob Austin Daniel D. Johnson Jonathan Ho Daniel Tarlow Rianne van den Berg DiffM 282 952 0 07 Jul 2021
Meta-learning Amidst Heterogeneity and Ambiguity Kyeongryeol Go Seyoung Yun 91 1 0 05 Jul 2021
Partition and Code: learning how to compress graphs Giorgos Bouritsas Andreas Loukas Nikolaos Karalias M. Bronstein 81 13 0 05 Jul 2021
Variational Diffusion Models Diederik P. Kingma Tim Salimans Ben Poole Jonathan Ho DiffM 234 1,146 0 01 Jul 2021
Lossless Coding of Point Cloud Geometry using a Deep Generative Model D. Nguyen Maurice Quach G. Valenzise Pierre Duhamel 3DPC 30 48 0 01 Jul 2021
Handling Data Heterogeneity with Generative Replay in Collaborative Learning for Medical Imaging Liangqiong Qu N. Balachandar Miao Zhang D. Rubin MedIm 89 23 0 24 Jun 2021
Symmetric Wasserstein Autoencoders S. Sun Hong Guo DiffM GAN 46 0 0 24 Jun 2021
Tensor networks for unsupervised machine learning Jing Liu Sujie Li Jiang Zhang Pan Zhang SSL 99 27 0 24 Jun 2021
Instance-Optimal Compressed Sensing via Posterior Sampling A. Jalal Sushrut Karmalkar A. Dimakis Eric Price 79 52 0 21 Jun 2021
A Game-Theoretic Taxonomy of Visual Concepts in DNNs Xu Cheng Chuntung Chu Yi Zheng Jie Ren Quanshi Zhang 47 22 0 21 Jun 2021
Low-rank Characteristic Tensor Density Estimation Part II: Compression and Latent Density Estimation Magda Amiridi Nikos Kargas N. Sidiropoulos 113 11 0 20 Jun 2021
Cascading Modular Network (CAM-Net) for Multimodal Image Synthesis Shichong Peng Alireza Moazeni Ke Li GAN 66 0 0 16 Jun 2021
Multi-Resolution Continuous Normalizing Flows Vikram S. Voleti Chris Finlay Adam M. Oberman Christopher Pal 94 4 0 15 Jun 2021
Reducing Effects of Swath Gaps on Unsupervised Machine Learning Models for NASA MODIS Instruments Sarah Chen Esther Cao Anirudh Koul Siddha Ganju Satyarth Praveen M. Kasam 32 2 0 13 Jun 2021
The DEformer: An Order-Agnostic Distribution Estimating Transformer Michael A. Alcorn Anh Totti Nguyen 30 4 0 13 Jun 2021
D2C: Diffusion-Denoising Models for Few-shot Conditional Generation Abhishek Sinha Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 135 121 0 12 Jun 2021
PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior Sang-gil Lee Heeseung Kim Chaehun Shin Xu Tan Chang-Shu Liu Qi Meng Tao Qin Wei Chen Sung-Hoon Yoon Tie-Yan Liu DiffM 85 89 0 11 Jun 2021
Hybrid Generative-Contrastive Representation Learning Saehoon Kim Sungwoong Kim Juho Lee SSL 68 11 0 11 Jun 2021
Fair Normalizing Flows Mislav Balunović Anian Ruoss Martin Vechev AAML 66 38 0 10 Jun 2021
Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation Dongjun Kim Seung-Jae Shin Kyungwoo Song Wanmo Kang Il-Chul Moon 114 97 0 10 Jun 2021
DASVDD: Deep Autoencoding Support Vector Data Descriptor for Anomaly Detection H. Hojjati Narges Armanfard 64 37 0 09 Jun 2021
Tensor feature hallucination for few-shot learning Michalis Lazarou Tania Stathaki Yannis Avrithis 97 23 0 09 Jun 2021