Pixel Recurrent Neural Networks

25 January 2016

Aaron van den Oord

Papers citing "Pixel Recurrent Neural Networks"

50 / 1,376 papers shown

Title
Attentive VQ-VAE A. Hoyos Mariano Rivera 23 0 0 20 Sep 2023
Reuse and Diffuse: Iterative Denoising for Text-to-Video Generation Jiaxi Gu Shicong Wang Haoyu Zhao Tianyi Lu Xing Zhang Zuxuan Wu Songcen Xu Wei Zhang Yu-Gang Jiang Hang Xu DiffM VGen 39 43 0 07 Sep 2023
Unsupervised Out-of-Distribution Detection by Restoring Lossy Inputs with Variational Autoencoder Zezhen Zeng Bin Liu OODD 25 1 0 05 Sep 2023
Advances in machine-learning-based sampling motivated by lattice quantum chromodynamics Kyle Cranmer G. Kanwar S. Racanière Danilo Jimenez Rezende P. Shanahan AI4CE 29 27 0 03 Sep 2023
Diffusion Models for Interferometric Satellite Aperture Radar A. Tuel Thomas Kerdreux Claudia Hulbert B. Rouet-Leduc 20 2 0 31 Aug 2023
Learning Modulated Transformation in GANs Ceyuan Yang Qihang Zhang Yinghao Xu Jiapeng Zhu Yujun Shen Bo Dai 22 1 0 29 Aug 2023
MSFlow: Multi-Scale Flow-based Framework for Unsupervised Anomaly Detection Yixuan Zhou Xing Xu Jingkuan Song Fumin Shen Hengtao Shen AI4CE 23 17 0 29 Aug 2023
Reinforcement Learning for Generative AI: A Survey Yuanjiang Cao Quan.Z Sheng Julian McAuley Lina Yao SyDa 46 10 0 28 Aug 2023
Unaligned 2D to 3D Translation with Conditional Vector-Quantized Code Diffusion using Transformers Abril Corona-Figueroa Sam Bond-Taylor Neelanjan Bhowmik Yona Falinie A. Gaus T. Breckon Hubert P. H. Shum Chris G. Willcocks DiffM 29 4 0 27 Aug 2023
Sampling with flows, diffusion and autoregressive neural networks: A spin-glass perspective Davide Ghio Yatin Dandi Florent Krzakala Lenka Zdeborová DiffM 30 26 0 27 Aug 2023
TrackFlow: Multi-Object Tracking with Normalizing Flows G. Mancusi Aniello Panariello Angelo Porrello Matteo Fabbri Simone Calderara Rita Cucchiara VOT 25 12 0 22 Aug 2023
Information Theory-Guided Heuristic Progressive Multi-View Coding Jiangmeng Li Hang Gao Jingyao Wang Changwen Zheng 22 2 0 21 Aug 2023
Multi-GradSpeech: Towards Diffusion-based Multi-Speaker Text-to-speech Using Consistent Diffusion Models Heyang Xue Shuai Guo Pengcheng Zhu Mengxiao Bi DiffM 35 1 0 21 Aug 2023
Diffusion Models for Image Restoration and Enhancement -- A Comprehensive Survey Xin Li Yulin Ren Xin Jin Cuiling Lan X. Wang Wenjun Zeng Xinchao Wang Zhibo Chen 43 86 0 18 Aug 2023
Likelihood-Based Text-to-Image Evaluation with Patch-Level Perceptual and Semantic Credit Assignment Qi Chen Chaorui Deng Zixiong Huang Bowen Zhang Mingkui Tan Qi Wu EGVM 19 0 0 16 Aug 2023
DiffColor: Toward High Fidelity Text-Guided Image Colorization with Diffusion Models Jianxin Lin Peng Xiao Yijun Wang Rongsheng Zhang Xiangxiang Zeng DiffM 35 3 0 03 Aug 2023
Generative models for wearables data Arinbjorn Kolbeinsson L. Foschini MedIm 24 0 0 31 Jul 2023
Adversarial Likelihood Estimation With One-Way Flows Omri Ben-Dov Pravir Singh Gupta Victoria Fernandez-Abrevaya Michael J. Black Partha Ghosh GAN DRL 32 0 0 19 Jul 2023
Image Denoising and the Generative Accumulation of Photons Alexander Krull H. Basevi Benjamin Salmon A. Zeug F. Muller Samuel Tonks Leela Muppala A. Leonardis DiffM 20 7 0 13 Jul 2023
Monotone deep Boltzmann machines Zhili Feng Ezra Winston J. Zico Kolter 24 1 0 11 Jul 2023
HSR-Diff:Hyperspectral Image Super-Resolution via Conditional Diffusion Models Chanyue Wu Dong Wang Hanyu Mao Ying Li DiffM 18 39 0 21 Jun 2023
Domain-Aware Few-Shot Learning for Optical Coherence Tomography Noise Reduction Deborah Pereg OOD 34 2 0 13 Jun 2023
BeliefPPG: Uncertainty-aware Heart Rate Estimation from PPG signals via Belief Propagation Valentin Bieri Paul Streli B. U. Demirel Christian Holz 24 8 0 13 Jun 2023
Learning Joint Latent Space EBM Prior Model for Multi-layer Generator Jiali Cui Ying Nian Wu Tian Han 16 8 0 10 Jun 2023
ADDP: Learning General Representations for Image Recognition and Generation with Alternating Denoising Diffusion Process Changyao Tian Chenxin Tao Jifeng Dai Hao Li Ziheng Li Lewei Lu Xiaogang Wang Hongsheng Li Gao Huang Xizhou Zhu DiffM 25 9 0 08 Jun 2023
Image generation with shortest path diffusion Ayan Das Stathi Fotiadis Anil Batra F. Nabiei FengTing Liao Sattar Vakili Da-shan Shiu A. Bernacchia 14 8 0 01 Jun 2023
Spontaneous Symmetry Breaking in Generative Diffusion Models G. Raya L. Ambrogioni DiffM 17 30 0 31 May 2023
End-to-end Training of Deep Boltzmann Machines by Unbiased Contrastive Divergence with Local Mode Initialization Shohei Taniguchi Masahiro Suzuki Yusuke Iwasawa Yutaka Matsuo SyDa 18 2 0 31 May 2023
Generating Driving Scenes with Diffusion Ethan Pronovost Kai Wang N. Roy DiffM 20 15 0 29 May 2023
Learning to Jump: Thinning and Thickening Latent Counts for Generative Modeling Tianqi Chen Mingyuan Zhou DiffM 60 7 0 28 May 2023
Image as First-Order Norm+Linear Autoregression: Unveiling Mathematical Invariance Yinpeng Chen Xiyang Dai Dongdong Chen Mengchen Liu Lu Yuan Zicheng Liu Youzuo Lin 26 2 0 25 May 2023
Concept-Centric Transformers: Enhancing Model Interpretability through Object-Centric Concept Learning within a Shared Global Workspace Jinyung Hong Keun Hee Park Theodore P. Pavlic 29 5 0 25 May 2023
Sound Design Strategies for Latent Audio Space Explorations Using Deep Learning Architectures Kivancc Tatar Kelsey Cotton D. Bisig DiffM 17 2 0 24 May 2023
Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport Jaemoo Choi Jaewoong Choi Myung-joo Kang OT 36 19 0 24 May 2023
Not All Image Regions Matter: Masked Vector Quantization for Autoregressive Image Generation Mengqi Huang Zhendong Mao Quang Wang Yongdong Zhang VGen DiffM 68 21 0 23 May 2023
FIT: Far-reaching Interleaved Transformers Ting-Li Chen Lala Li 26 12 0 22 May 2023
Photo-zSNthesis: Converting Type Ia Supernova Lightcurves to Redshift Estimates via Deep Learning H. Qu M. Sako 20 5 0 19 May 2023
Exploring the Rate-Distortion-Complexity Optimization in Neural Image Compression Yixin Gao Runsen Feng Zongyu Guo Zhibo Chen 29 4 0 12 May 2023
MEGABYTE: Predicting Million-byte Sequences with Multiscale Transformers L. Yu Daniel Simig Colin Flaherty Armen Aghajanyan Luke Zettlemoyer M. Lewis 23 84 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 42 126 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 51 25 0 04 May 2023
ProgDTD: Progressive Learned Image Compression with Double-Tail-Drop Training A. Hojjat Janek Haberer Olaf Landsiedel 33 9 0 03 May 2023
Sequence Modeling with Multiresolution Convolutional Memory Jiaxin Shi Ke Alexander Wang E. Fox 42 13 0 02 May 2023
Geometric Latent Diffusion Models for 3D Molecule Generation Minkai Xu Alexander Powers R. Dror Stefano Ermon J. Leskovec DiffM AI4CE 55 135 0 02 May 2023
Synthetic Data for Face Recognition: Current State and Future Prospects Fadi Boutros Vitomir Štruc Julian Fierrez Naser Damer 27 75 0 01 May 2023
Score-Based Diffusion Models as Principled Priors for Inverse Imaging Berthy T. Feng Jamie Smith Michael Rubinstein Huiwen Chang Katherine L. Bouman William T. Freeman DiffM 87 87 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 16 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 29 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