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Pixel Recurrent Neural Networks

25 January 2016

Papers citing "Pixel Recurrent Neural Networks"

50 / 1,388 papers shown

Title
Neural Diffusion Models Grigory Bartosh Dmitry Vetrov C. A. Naesseth DiffM 118 10 0 12 Oct 2023
Learning Stackable and Skippable LEGO Bricks for Efficient, Reconfigurable, and Variable-Resolution Diffusion Modeling Huangjie Zheng Zhendong Wang Jianbo Yuan Guanghan Ning Pengcheng He Quanzeng You Hongxia Yang Mingyuan Zhou 84 12 0 10 Oct 2023
EdVAE: Mitigating Codebook Collapse with Evidential Discrete Variational Autoencoders Gulcin Baykal M. Kandemir Gözde B. Ünal 60 13 0 09 Oct 2023
Analyzing and Improving Optimal-Transport-based Adversarial Networks Jaemoo Choi Jaewoong Choi Myungjoo Kang OT 80 6 0 04 Oct 2023
Predicated Diffusion: Predicate Logic-Based Attention Guidance for Text-to-Image Diffusion Models Kota Sueyoshi Takashi Matsubara DiffM 98 8 0 03 Oct 2023
AI-Generated Images as Data Source: The Dawn of Synthetic Era Zuhao Yang Fangneng Zhan Kunhao Liu Muyu Xu Shijian Lu EGVM 107 20 0 03 Oct 2023
Pixel-Inconsistency Modeling for Image Manipulation Localization Chenqi Kong Anwei Luo Shiqi Wang Haoliang Li Anderson de Rezende Rocha Alex C. Kot AAML 88 17 0 30 Sep 2023
MotionLM: Multi-Agent Motion Forecasting as Language Modeling Ari Seff Brian Cera Dian Chen Mason Ng Aurick Zhou Nigamaa Nayakanti Khaled S. Refaat Rami Al-Rfou Benjamin Sapp 78 103 0 28 Sep 2023
Transformer-VQ: Linear-Time Transformers via Vector Quantization Albert Mohwald 107 17 0 28 Sep 2023
A Unified View of Differentially Private Deep Generative Modeling Dingfan Chen Raouf Kerkouche Mario Fritz SyDa 85 5 0 27 Sep 2023
Deep Generative Methods for Producing Forecast Trajectories in Power Systems Nathan Weill Jonathan Dumas AI4TS 64 0 0 26 Sep 2023
MOSAIC: Multi-Object Segmented Arbitrary Stylization Using CLIP Prajwal Ganugula Y. Kumar N. Reddy Prabhath Chellingi A. Thakur Neeraj Kasera C. S. Anand CLIP DiffM 41 3 0 24 Sep 2023
Attentive VQ-VAE A. Hoyos Mariano Rivera 53 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 82 48 0 07 Sep 2023
Unsupervised Out-of-Distribution Detection by Restoring Lossy Inputs with Variational Autoencoder Zezhen Zeng Bin Liu OODD 61 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 96 26 0 03 Sep 2023
Diffusion Models for Interferometric Satellite Aperture Radar A. Tuel Thomas Kerdreux Claudia Hulbert B. Rouet-Leduc 58 2 0 31 Aug 2023
Learning Modulated Transformation in GANs Ceyuan Yang Qihang Zhang Yinghao Xu Jiapeng Zhu Yujun Shen Bo Dai 51 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 116 22 0 29 Aug 2023
Reinforcement Learning for Generative AI: A Survey Yuanjiang Cao Quan.Z Sheng Julian McAuley Lina Yao SyDa 202 13 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 87 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 69 29 0 27 Aug 2023
TrackFlow: Multi-Object Tracking with Normalizing Flows Gianluca Mancusi Aniello Panariello Angelo Porrello Matteo Fabbri Simone Calderara Rita Cucchiara VOT 59 14 0 22 Aug 2023
Information Theory-Guided Heuristic Progressive Multi-View Coding Jiangmeng Li Hang Gao Jingyao Wang Changwen Zheng 91 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 81 1 0 21 Aug 2023
Diffusion Models for Image Restoration and Enhancement -- A Comprehensive Survey Xin Li Yulin Ren Xin Jin Cuiling Lan Xingyu Wang Wenjun Zeng Xinchao Wang Zhibo Chen 104 88 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 105 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 72 3 0 03 Aug 2023
Generative models for wearables data Arinbjorn Kolbeinsson L. Foschini MedIm 57 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 58 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 65 7 0 13 Jul 2023
Monotone deep Boltzmann machines Zhili Feng Ezra Winston J. Zico Kolter 61 1 0 11 Jul 2023
HSR-Diff:Hyperspectral Image Super-Resolution via Conditional Diffusion Models Chanyue Wu Dong Wang Hanyu Mao Ying Li DiffM 81 41 0 21 Jun 2023
Domain-Aware Few-Shot Learning for Optical Coherence Tomography Noise Reduction Deborah Pereg OOD 64 4 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 104 8 0 13 Jun 2023
Learning Joint Latent Space EBM Prior Model for Multi-layer Generator Jiali Cui Ying Nian Wu Tian Han 79 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 104 10 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 62 10 0 01 Jun 2023
Spontaneous Symmetry Breaking in Generative Diffusion Models G. Raya L. Ambrogioni DiffM 92 37 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 84 2 0 31 May 2023
Generating Driving Scenes with Diffusion Ethan Pronovost Kai Wang N. Roy DiffM 89 17 0 29 May 2023
Learning to Jump: Thinning and Thickening Latent Counts for Generative Modeling Tianqi Chen Mingyuan Zhou DiffM 110 9 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 101 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 88 6 0 25 May 2023
Sound Design Strategies for Latent Audio Space Explorations Using Deep Learning Architectures Kivancc Tatar Kelsey Cotton D. Bisig DiffM 46 2 0 24 May 2023
Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport Jaemoo Choi Jaewoong Choi Myung-joo Kang OT 126 23 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 121 23 0 23 May 2023
FIT: Far-reaching Interleaved Transformers Ting-Li Chen Lala Li 108 13 0 22 May 2023
Photo-zSNthesis: Converting Type Ia Supernova Lightcurves to Redshift Estimates via Deep Learning H. Qu M. Sako 45 5 0 19 May 2023
Exploring the Rate-Distortion-Complexity Optimization in Neural Image Compression Yixin Gao Runsen Feng Zongyu Guo Zhibo Chen 69 6 0 12 May 2023