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Pixel Recurrent Neural Networks

25 January 2016

Papers citing "Pixel Recurrent Neural Networks"

50 / 1,388 papers shown

Title
MEGABYTE: Predicting Million-byte Sequences with Multiscale Transformers L. Yu Daniel Simig Colin Flaherty Armen Aghajanyan Luke Zettlemoyer M. Lewis 104 93 0 12 May 2023
Locally Attentional SDF Diffusion for Controllable 3D Shape Generation Xin-Yang Zheng Hao Pan Peng-Shuai Wang Xin Tong Yang Liu H. Shum 120 132 0 08 May 2023
Trainability barriers and opportunities in quantum generative modeling Manuel S. Rudolph S. Lerch Supanut Thanasilp Oriel Kiss S. Vallecorsa Michele Grossi Zoë Holmes 90 27 0 04 May 2023
ProgDTD: Progressive Learned Image Compression with Double-Tail-Drop Training A. Hojjat Janek Haberer Olaf Landsiedel 57 9 0 03 May 2023
Sequence Modeling with Multiresolution Convolutional Memory Jiaxin Shi Ke Alexander Wang E. Fox 104 14 0 02 May 2023
Geometric Latent Diffusion Models for 3D Molecule Generation Minkai Xu Alexander Powers R. Dror Stefano Ermon J. Leskovec DiffM AI4CE 160 152 0 02 May 2023
Synthetic Data for Face Recognition: Current State and Future Prospects Fadi Boutros Vitomir Štruc Julian Fierrez Naser Damer 136 82 0 01 May 2023
Score-Based Diffusion Models as Principled Priors for Inverse Imaging Berthy Feng Jamie Smith Michael Rubinstein Huiwen Chang Katherine Bouman William T. Freeman DiffM 176 98 0 23 Apr 2023
Deep reproductive feature generation framework for the diagnosis of COVID-19 and viral pneumonia using chest X-ray images Ceyhun Efe Kayan Talha Enes Koksal Arda Sevinc A. Gumus 45 1 0 20 Apr 2023
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 64 1 0 14 Apr 2023
Reflected Diffusion Models Aaron Lou Stefano Ermon 110 56 0 10 Apr 2023
A Comprehensive Survey on Knowledge Distillation of Diffusion Models Weijian Luo DiffM MedIm 110 38 0 09 Apr 2023
FREDOM: Fairness Domain Adaptation Approach to Semantic Scene Understanding Thanh-Dat Truong Ngan Le Bhiksha Raj J. Cothren Khoa Luu 106 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 175 240 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 67 4 0 28 Mar 2023
Learning Generative Models with Goal-conditioned Reinforcement Learning Mariana Vargas Vieyra Pierre Ménard GAN 26 0 0 26 Mar 2023
LINe: Out-of-Distribution Detection by Leveraging Important Neurons Yong Hyun Ahn Gyeong-Moon Park Seong Tae Kim OODD 175 35 0 24 Mar 2023
FullFormer: Generating Shapes Inside Shapes Tejaswini Medi Jawad Tayyub M. Sarmad Frank Lindseth Margret Keuper 61 1 0 20 Mar 2023
Elastic Interaction Energy-Based Generative Model: Approximation in Feature Space Chuqi Chen Yue Wu Yang Xiang 52 1 0 19 Mar 2023
Synthesizing Realistic Image Restoration Training Pairs: A Diffusion Approach Tao Yang Peiran Ren Xuansong Xie Lei Zhang DiffM 75 15 0 13 Mar 2023
Lossless Point Cloud Geometry and Attribute Compression Using a Learned Conditional Probability Model D. Nguyen Andre Kaup 3DPC 60 36 0 11 Mar 2023
Regularized Vector Quantization for Tokenized Image Synthesis Jiahui Zhang Fangneng Zhan Christian Theobalt Shijian Lu DiffM MQ 95 33 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 51 35 0 09 Mar 2023
Vector Quantized Time Series Generation with a Bidirectional Prior Model Daesoo Lee Sara Malacarne Erlend Aune BDL 88 29 0 08 Mar 2023
Generative Modeling with Flow-Guided Density Ratio Learning Alvin Heng Abdul Fatir Ansari Harold Soh 60 1 0 07 Mar 2023
Guiding Energy-based Models via Contrastive Latent Variables Hankook Lee Jongheon Jeong Sejun Park Jinwoo Shin BDL 88 15 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 52 2 0 05 Mar 2023
How to Construct Energy for Images? Denoising Autoencoder Can Be Energy Based Model W. Zeng DiffM 68 1 0 05 Mar 2023
Consistency Models Yang Song Prafulla Dhariwal Mark Chen Ilya Sutskever VLM DiffM 136 982 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 96 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 142 285 0 23 Feb 2023
GraphVF: Controllable Protein-Specific 3D Molecule Generation with Variational Flow Fangce Sun Zhihao Zhan Hongyu Guo Ming Zhang Jian Tang 73 6 0 23 Feb 2023
LU-Net: Invertible Neural Networks Based on Matrix Factorization Robin Shing Moon Chan Sarina Penquitt Hanno Gottschalk BDL 65 4 0 21 Feb 2023
Restoration based Generative Models Jaemoo Choi Yesom Park Myung-joo Kang DiffM AI4CE 77 5 0 20 Feb 2023
The autoregressive neural network architecture of the Boltzmann distribution of pairwise interacting spins systems I. Biazzo AI4CE 82 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 103 41 0 13 Feb 2023
Short-Term Memory Convolutions Grzegorz Stefański Krzysztof Arendt P. Daniluk Bartlomiej Jasik Artur Szumaczuk 45 4 0 08 Feb 2023
ShiftDDPMs: Exploring Conditional Diffusion Models by Shifting Diffusion Trajectories Zijian Zhang Zhou Zhao Jun Yu Qi Tian DiffM 45 14 0 05 Feb 2023
Improving Prediction Backward-Compatiblility in NLP Model Upgrade with Gated Fusion Yi-An Lai Elman Mansimov Yuqing Xie Yan Zhang 63 4 0 04 Feb 2023
GAN-Based Object Removal in High-Resolution Satellite Images Hadi Mansourifar S. Simske GAN 60 3 0 24 Jan 2023
Compression of GPS Trajectories using Autoencoders Michael Kölle Steffen Illium Carsten Hahn Lorenz Schauer Johannes Hutter Claudia Linnhoff-Popien 38 1 0 18 Jan 2023
Masked Vector Quantization David D. Nguyen David Leibowitz Surya Nepal S. Kanhere MQ 47 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 57 29 0 13 Jan 2023
Street-View Image Generation from a Bird's-Eye View Layout Alexander Swerdlow Runsheng Xu Bolei Zhou 140 73 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 67 2 0 11 Jan 2023
Self-Supervised Video Forensics by Audio-Visual Anomaly Detection Chao Feng Ziyang Chen Andrew Owens 85 78 0 04 Jan 2023
Class-Continuous Conditional Generative Neural Radiance Field Jiwook Kim Minhyeok Lee 95 4 0 03 Jan 2023
Unsupervised Representation Learning from Pre-trained Diffusion Probabilistic Models Zijian Zhang Zhou Zhao Zhijie Lin DiffM 143 56 0 26 Dec 2022
A Mathematical Framework for Learning Probability Distributions Hongkang Yang 111 7 0 22 Dec 2022
Structure-guided Image Outpainting Xi Wang Weixi Cheng Wenliang Jia GAN 21 0 0 21 Dec 2022