Pixel Recurrent Neural Networks

25 January 2016

Aaron van den Oord

Papers citing "Pixel Recurrent Neural Networks"

50 / 1,379 papers shown

Title
CoMaL: Conditional Maximum Likelihood Approach to Self-supervised Domain Adaptation in Long-tail Semantic Segmentation Thanh-Dat Truong C. Duong Pierce Helton Ashley Dowling Xin Li Khoa Luu 32 1 0 14 Apr 2023
Reflected Diffusion Models Aaron Lou Stefano Ermon 24 50 0 10 Apr 2023
A Comprehensive Survey on Knowledge Distillation of Diffusion Models Weijian Luo DiffM MedIm 52 33 0 09 Apr 2023
FREDOM: Fairness Domain Adaptation Approach to Semantic Scene Understanding Thanh-Dat Truong Ngan Le Bhiksha Raj J. Cothren Khoa Luu 47 25 0 04 Apr 2023
Your Diffusion Model is Secretly a Zero-Shot Classifier Alexander C. Li Mihir Prabhudesai Shivam Duggal Ellis L Brown Deepak Pathak DiffM VLM 55 225 0 28 Mar 2023
Variational Distribution Learning for Unsupervised Text-to-Image Generation Minsoo Kang Doyup Lee Jiseob Kim Saehoon Kim Bohyung Han DRL OOD 19 3 0 28 Mar 2023
Learning Generative Models with Goal-conditioned Reinforcement Learning Mariana Vargas Vieyra Pierre Ménard GAN 11 0 0 26 Mar 2023
LINe: Out-of-Distribution Detection by Leveraging Important Neurons Yong Hyun Ahn Gyeong-Moon Park Seong Tae Kim OODD 119 31 0 24 Mar 2023
FullFormer: Generating Shapes Inside Shapes Tejaswini Medi Jawad Tayyub M. Sarmad Frank Lindseth M. Keuper 35 0 0 20 Mar 2023
Elastic Interaction Energy-Based Generative Model: Approximation in Feature Space Chuqi Chen Yue Wu Yang Xiang 19 1 0 19 Mar 2023
Synthesizing Realistic Image Restoration Training Pairs: A Diffusion Approach Tao Yang Peiran Ren Xuansong Xie Lei Zhang DiffM 32 15 0 13 Mar 2023
Lossless Point Cloud Geometry and Attribute Compression Using a Learned Conditional Probability Model D. Nguyen Andre Kaup 3DPC 27 34 0 11 Mar 2023
Regularized Vector Quantization for Tokenized Image Synthesis Jiahui Zhang Fangneng Zhan Christian Theobalt Shijian Lu DiffM MQ 41 30 0 11 Mar 2023
Local Implicit Normalizing Flow for Arbitrary-Scale Image Super-Resolution Jiemei Yao Li-Yuan Tsao Yi-Chen Lo Roy Tseng Chia-Che Chang Chun-Yi Lee SupR 17 34 0 09 Mar 2023
Vector Quantized Time Series Generation with a Bidirectional Prior Model Daesoo Lee Sara Malacarne Erlend Aune BDL 37 25 0 08 Mar 2023
Generative Modeling with Flow-Guided Density Ratio Learning Alvin Heng Abdul Fatir Ansari Harold Soh 19 1 0 07 Mar 2023
Guiding Energy-based Models via Contrastive Latent Variables Hankook Lee Jongheon Jeong Sejun Park Jinwoo Shin BDL 32 14 0 06 Mar 2023
Learned Lossless Compression for JPEG via Frequency-Domain Prediction Jixiang Luo Shaohui Li Wenrui Dai Chenglin Li Junni Zou H. Xiong 18 2 0 05 Mar 2023
How to Construct Energy for Images? Denoising Autoencoder Can Be Energy Based Model W. Zeng DiffM 33 1 0 05 Mar 2023
Consistency Models Yang Song Prafulla Dhariwal Mark Chen Ilya Sutskever VLM DiffM 25 865 0 02 Mar 2023
ACL-SPC: Adaptive Closed-Loop system for Self-Supervised Point Cloud Completion S. Hong Mohsen Yavartanoo Reyhaneh Neshatavar Kyoung Mu Lee 3DPC 44 12 0 02 Mar 2023
Aligning Text-to-Image Models using Human Feedback Kimin Lee Hao Liu Moonkyung Ryu Olivia Watkins Yuqing Du Craig Boutilier Pieter Abbeel Mohammad Ghavamzadeh S. Gu EGVM 38 255 0 23 Feb 2023
GraphVF: Controllable Protein-Specific 3D Molecule Generation with Variational Flow Fangce Sun Zhihao Zhan Hongyu Guo Ming Zhang Jian Tang 26 6 0 23 Feb 2023
LU-Net: Invertible Neural Networks Based on Matrix Factorization Robin Shing Moon Chan Sarina Penquitt Hanno Gottschalk BDL 30 3 0 21 Feb 2023
Restoration based Generative Models Jaemoo Choi Yesom Park Myung-joo Kang DiffM AI4CE 31 5 0 20 Feb 2023
The autoregressive neural network architecture of the Boltzmann distribution of pairwise interacting spins systems I. Biazzo AI4CE 31 7 0 16 Feb 2023
GFlowNet-EM for learning compositional latent variable models J. E. Hu Nikolay Malkin Moksh Jain Katie Everett Alexandros Graikos Yoshua Bengio CoGe 24 38 0 13 Feb 2023
Short-Term Memory Convolutions Grzegorz Stefański Krzysztof Arendt P. Daniluk Bartlomiej Jasik Artur Szumaczuk 18 4 0 08 Feb 2023
ShiftDDPMs: Exploring Conditional Diffusion Models by Shifting Diffusion Trajectories Zijian Zhang Zhou Zhao Jun Yu Qi Tian DiffM 22 12 0 05 Feb 2023
Improving Prediction Backward-Compatiblility in NLP Model Upgrade with Gated Fusion Yi-An Lai Elman Mansimov Yuqing Xie Yan Zhang 19 3 0 04 Feb 2023
GAN-Based Object Removal in High-Resolution Satellite Images Hadi Mansourifar S. Simske GAN 24 3 0 24 Jan 2023
Compression of GPS Trajectories using Autoencoders Michael Kölle Steffen Illium Carsten Hahn Lorenz Schauer Johannes Hutter Claudia Linnhoff-Popien 28 1 0 18 Jan 2023
Masked Vector Quantization David D. Nguyen David Leibowitz Surya Nepal S. Kanhere MQ 15 0 0 16 Jan 2023
A survey and taxonomy of loss functions in machine learning Lorenzo Ciampiconi A. Elwood Marco Leonardi A. Mohamed A. Rozza MU FaML 9 25 0 13 Jan 2023
Street-View Image Generation from a Bird's-Eye View Layout Alexander Swerdlow Runsheng Xu Bolei Zhou 27 64 0 11 Jan 2023
ODIM: Outlier Detection via Likelihood of Under-Fitted Generative Models Dongha Kim Jaesung Hwang Jongjin Lee Kunwoong Kim Yongdai Kim OODD 28 1 0 11 Jan 2023
Self-Supervised Video Forensics by Audio-Visual Anomaly Detection Chao Feng Ziyang Chen Andrew Owens 31 71 0 04 Jan 2023
Class-Continuous Conditional Generative Neural Radiance Field Jiwook Kim Minhyeok Lee 27 4 0 03 Jan 2023
Unsupervised Representation Learning from Pre-trained Diffusion Probabilistic Models Zijian Zhang Zhou Zhao Zhijie Lin DiffM 35 52 0 26 Dec 2022
A Mathematical Framework for Learning Probability Distributions Hongkang Yang 29 7 0 22 Dec 2022
Structure-guided Image Outpainting Xi Wang Weixi Cheng Wenliang Jia GAN 6 0 0 21 Dec 2022
Geometry-aware Autoregressive Models for Calorimeter Shower Simulations Junze Liu A. Ghosh Dylan Smith Pierre Baldi D. Whiteson OOD AI4CE 19 5 0 16 Dec 2022
DISCO: Adversarial Defense with Local Implicit Functions Chih-Hui Ho Nuno Vasconcelos AAML 23 38 0 11 Dec 2022
MAGVIT: Masked Generative Video Transformer Lijun Yu Yong Cheng Kihyuk Sohn José Lezama Han Zhang ... Alexander G. Hauptmann Ming-Hsuan Yang Yuan Hao Irfan Essa Lu Jiang DiffM VGen 32 224 0 10 Dec 2022
Multi-Concept Customization of Text-to-Image Diffusion Nupur Kumari Bin Zhang Richard Y. Zhang Eli Shechtman Jun-Yan Zhu 61 823 0 08 Dec 2022
Image Inpainting via Iteratively Decoupled Probabilistic Modeling Wenbo Li Xin Yu Kun Zhou Yibing Song Zhe-nan Lin Jiaya Jia DiffM 40 11 0 06 Dec 2022
Lossy Compression for Robust Unsupervised Time-Series Anomaly Detection Christophe Ley Jorge F. Silva OOD CML 14 1 0 05 Dec 2022
Fine-grained Image Editing by Pixel-wise Guidance Using Diffusion Models Naoki Matsunaga Masato Ishii Akio Hayakawa Kenji Suzuki T. Narihira DiffM 49 13 0 05 Dec 2022
Exploring Stochastic Autoregressive Image Modeling for Visual Representation Yu-Hang Qi Fan Yang Yousong Zhu Yufei Liu Liwei Wu Rui Zhao Wei Li DiffM 27 13 0 03 Dec 2022
Learning Markov Random Fields for Combinatorial Structures via Sampling through Lovász Local Lemma Nan Jiang Yi Gu Yexiang Xue 27 0 0 01 Dec 2022