PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications

19 January 2017

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Papers citing "PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications"

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Title
Cascaded Diffusion Models for High Fidelity Image Generation Jonathan Ho Chitwan Saharia William Chan David J. Fleet Mohammad Norouzi Tim Salimans 182 1,243 0 30 May 2021
Parallel and Flexible Sampling from Autoregressive Models via Langevin Dynamics V. Jayaram John Thickstun DiffM 107 25 0 17 May 2021
High-Resolution Complex Scene Synthesis with Transformers Manuel Jahn Robin Rombach Bjorn Ommer ViT 77 37 0 13 May 2021
Autoencoding Under Normalization Constraints Sangwoong Yoon Yung-Kyun Noh Frank C. Park OODD UQCV 84 39 0 12 May 2021
Label Geometry Aware Discriminator for Conditional Generative Networks Suman Sapkota Bidur Khanal Binod Bhattarai Bishesh Khanal Tae-Kyun Kim GAN 123 0 0 12 May 2021
Supervised Anomaly Detection via Conditional Generative Adversarial Network and Ensemble Active Learning Zhi Chen Jiang Duan Li Kang Guoping Qiu AI4CE 86 34 0 24 Apr 2021
Scaling of neural-network quantum states for time evolution Sheng-Hsuan Lin F. Pollmann 57 25 0 21 Apr 2021
VideoGPT: Video Generation using VQ-VAE and Transformers Wilson Yan Yunzhi Zhang Pieter Abbeel A. Srinivas ViT VGen 310 513 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
Geometry-Free View Synthesis: Transformers and no 3D Priors Robin Rombach Patrick Esser Bjorn Ommer ViT 103 95 0 15 Apr 2021
Boltzmann Tuning of Generative Models Victor Berger Michele Sebag 49 0 0 12 Apr 2021
Interpretable Unsupervised Diversity Denoising and Artefact Removal M. Prakash M. Delbracio P. Milanfar Florian Jug 120 34 0 03 Apr 2021
Multi-Class Data Description for Out-of-distribution Detection Dongha Lee Sehun Yu Hwanjo Yu OODD 61 39 0 02 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 60 26 0 31 Mar 2021
iVPF: Numerical Invertible Volume Preserving Flow for Efficient Lossless Compression Shifeng Zhang Chen Zhang Ning Kang Zhenguo Li 66 38 0 30 Mar 2021
Improved Autoregressive Modeling with Distribution Smoothing Chenlin Meng Jiaming Song Yang Song Shengjia Zhao Stefano Ermon DiffM 72 23 0 28 Mar 2021
High-Fidelity Pluralistic Image Completion with Transformers Bo Liu Jingbo Zhang Dongdong Chen Jing Liao ViT 79 238 0 25 Mar 2021
Joint Distribution across Representation Space for Out-of-Distribution Detection Jingwei Xu Siyuan Zhu Zenan Li Chang Xu OODD 26 2 0 23 Mar 2021
SSD: A Unified Framework for Self-Supervised Outlier Detection Vikash Sehwag M. Chiang Prateek Mittal OODD 128 346 0 22 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
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
Tensor networks and efficient descriptions of classical data Sirui Lu Márton Kanász-Nagy I. Kukuljan J. I. Cirac 49 26 0 11 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 176 508 0 08 Mar 2021
Generating Images with Sparse Representations C. Nash Jacob Menick Sander Dieleman Peter W. Battaglia 93 211 0 05 Mar 2021
A Brief Introduction to Generative Models Alex Lamb GAN VLM 85 16 0 27 Feb 2021
Distribution-Aware Testing of Neural Networks Using Generative Models Swaroopa Dola Matthew B. Dwyer M. Soffa 97 53 0 26 Feb 2021
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 426 5,015 0 24 Feb 2021
Handling Background Noise in Neural Speech Generation Tom Denton Alejandro Luebs Felicia S. C. Lim Andrew Storus Hengchin Yeh W. Kleijn Jan Skoglund 50 2 0 23 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 78 11 0 23 Feb 2021
Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding Yangjun Ruan Karen Ullrich Daniel de Souza Severo James Townsend Ashish Khisti Arnaud Doucet Alireza Makhzani Chris J. Maddison 101 25 0 22 Feb 2021
Improved Denoising Diffusion Probabilistic Models Alex Nichol Prafulla Dhariwal DiffM 357 3,741 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
Offline Model-Based Optimization via Normalized Maximum Likelihood Estimation Justin Fu Sergey Levine OffRL 119 49 0 16 Feb 2021
HGAN: Hybrid Generative Adversarial Network Seyed Mehdi Iranmanesh Nasser M. Nasrabadi GAN 30 4 0 07 Feb 2021
Maximum Likelihood Training of Score-Based Diffusion Models Yang Song Conor Durkan Iain Murray Stefano Ermon DiffM 214 676 0 22 Jan 2021
GAN Inversion: A Survey Weihao Xia Yulun Zhang Yujiu Yang Jing-Hao Xue Bolei Zhou Ming-Hsuan Yang DiffM 239 520 0 14 Jan 2021
Copula Flows for Synthetic Data Generation Sanket Kamthe Samuel A. Assefa M. Deisenroth 126 53 0 03 Jan 2021
Soft Compression for Lossless Image Coding Gangtao Xin Pingyi Fan 43 6 0 11 Dec 2020
Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images R. Child BDL VLM 190 353 0 20 Nov 2020
Causal Contextual Prediction for Learned Image Compression Zongyu Guo Zhizheng Zhang Runsen Feng Zhibo Chen CML 58 143 0 19 Nov 2020
Transformers for One-Shot Visual Imitation Sudeep Dasari Abhinav Gupta LM&Ro 94 95 0 11 Nov 2020
Conceptual Compression via Deep Structure and Texture Synthesis Jianhui Chang Zhenghui Zhao Chuanmin Jia Shiqi Wang Lingbo Yang Qi Mao Jian Zhang Siwei Ma DiffM 49 34 0 10 Nov 2020
Synthetic Data Generation for Economists Allison Koenecke H. Varian 31 8 0 02 Nov 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
Restrained Generative Adversarial Network against Overfitting in Numeric Data Augmentation Wei Wang Yimeng Chai Tao Cui Chuang Wang Baohua Zhang Yuemei Li Yi An GAN 31 0 0 26 Oct 2020
Further Analysis of Outlier Detection with Deep Generative Models Ziyu Wang Bin Dai David Wipf Jun Zhu 73 40 0 25 Oct 2020
Autoregressive Score Matching Chenlin Meng Lantao Yu Yang Song Jiaming Song Stefano Ermon DiffM 236 14 0 24 Oct 2020
Learning Deep-Latent Hierarchies by Stacking Wasserstein Autoencoders Benoit Gaujac Ilya Feige David Barber DiffM BDL 55 0 0 07 Oct 2020
Unbiased Gradient Estimation for Variational Auto-Encoders using Coupled Markov Chains Francisco J. R. Ruiz Michalis K. Titsias taylan. cemgil Arnaud Doucet BDL DRL 65 14 0 05 Oct 2020
Unknown Presentation Attack Detection against Rational Attackers Ali Khodabakhsh Zahid Akhtar AAML 72 4 0 04 Oct 2020