Pixel Recurrent Neural Networks

25 January 2016

Aaron van den Oord

Papers citing "Pixel Recurrent Neural Networks"

50 / 1,376 papers shown

Title
Discrete Distribution Networks Lei Yang 28 1 0 29 Dec 2023
SutraNets: Sub-series Autoregressive Networks for Long-Sequence, Probabilistic Forecasting Shane Bergsma Timothy J. Zeyl Lei Guo AI4TS 38 3 0 22 Dec 2023
C2FAR: Coarse-to-Fine Autoregressive Networks for Precise Probabilistic Forecasting Shane Bergsma Timothy J. Zeyl J. R. Anaraki Lei Guo BDL AI4TS 26 9 0 22 Dec 2023
HeadCraft: Modeling High-Detail Shape Variations for Animated 3DMMs Artem Sevastopolsky Philip-William Grassal Simon Giebenhain ShahRukh Athar Luisa Verdoliva Matthias Niessner 3DH 58 4 0 21 Dec 2023
Diffusion Models With Learned Adaptive Noise S. Sahoo Aaron Gokaslan Christopher De Sa Volodymyr Kuleshov DiffM 34 8 0 20 Dec 2023
Time-Transformer: Integrating Local and Global Features for Better Time Series Generation Yuansan Liu S. Wijewickrema Ang Li C. Bester Stephen O'Leary James Bailey ViT AI4TS 26 7 0 18 Dec 2023
CoCoGen: Physically-Consistent and Conditioned Score-based Generative Models for Forward and Inverse Problems Christian L. Jacobsen Yilin Zhuang Karthik Duraisamy AI4CE SyDa DiffM 26 17 0 16 Dec 2023
Topic-VQ-VAE: Leveraging Latent Codebooks for Flexible Topic-Guided Document Generation YoungJoon Yoo Jongwon Choi BDL 26 2 0 15 Dec 2023
TERM Model: Tensor Ring Mixture Model for Density Estimation Ruituo Wu Jiani Liu Ce Zhu Anh-Huy Phan Ivan V. Oseledets Yipeng Liu 28 1 0 13 Dec 2023
Image Content Generation with Causal Reasoning Xiaochuan Li Baoyu Fan Runze Zhang Liang Jin Di Wang Zhenhua Guo Yaqian Zhao Rengang Li LRM 80 6 0 12 Dec 2023
Free3D: Consistent Novel View Synthesis without 3D Representation Chuanxia Zheng Andrea Vedaldi 3DV 39 48 0 07 Dec 2023
FERGI: Automatic Annotation of User Preferences for Text-to-Image Generation from Spontaneous Facial Expression Reaction Shuangquan Feng Junhua Ma Virginia R. de Sa EGVM 23 0 0 05 Dec 2023
Rejuvenating image-GPT as Strong Visual Representation Learners Sucheng Ren Zeyu Wang Hongru Zhu Junfei Xiao Alan L. Yuille Cihang Xie VLM 57 7 0 04 Dec 2023
GIVT: Generative Infinite-Vocabulary Transformers Michael Tschannen Cian Eastwood Fabian Mentzer 31 34 0 04 Dec 2023
Sequential Modeling Enables Scalable Learning for Large Vision Models Yutong Bai Xinyang Geng K. Mangalam Amir Bar Alan Yuille Trevor Darrell Jitendra Malik Alexei A. Efros MLLM VLM 22 156 0 01 Dec 2023
SPOT: Self-Training with Patch-Order Permutation for Object-Centric Learning with Autoregressive Transformers Ioannis Kakogeorgiou Spyros Gidaris Konstantinos Karantzalos N. Komodakis ViT OCL 15 12 0 01 Dec 2023
DREAM: Diffusion Rectification and Estimation-Adaptive Models Jinxin Zhou Tianyu Ding Tianyi Chen Jiachen Jiang Ilya Zharkov Zhihui Zhu Luming Liang 30 7 0 30 Nov 2023
IA-LSTM: Interaction-Aware LSTM for Pedestrian Trajectory Prediction Yuehai Chen HAI 27 11 0 26 Nov 2023
Using Human Feedback to Fine-tune Diffusion Models without Any Reward Model Kai Yang Jian Tao Jiafei Lyu Chunjiang Ge Jiaxin Chen Qimai Li Weihan Shen Xiaolong Zhu Xiu Li EGVM 23 89 0 22 Nov 2023
Generative Machine Learning for Multivariate Equity Returns Ruslan Tepelyan Achintya Gopal AIFin SyDa 29 4 0 21 Nov 2023
Instant3D: Fast Text-to-3D with Sparse-View Generation and Large Reconstruction Model Jiahao Li Hao Tan Kai Zhang Zexiang Xu Fujun Luan Yinghao Xu Yicong Hong Kalyan Sunkavalli Greg Shakhnarovich Sai Bi 59 254 0 10 Nov 2023
Diffusion-Generative Multi-Fidelity Learning for Physical Simulation Zheng Wang Shibo Li Shikai Fang Shandian Zhe DiffM AI4CE 16 1 0 09 Nov 2023
Improved DDIM Sampling with Moment Matching Gaussian Mixtures Prasad Gabbur DiffM 30 1 0 08 Nov 2023
Idempotent Generative Network Assaf Shocher Amil Dravid Yossi Gandelsman Inbar Mosseri Michael Rubinstein Alexei A. Efros 40 15 0 02 Nov 2023
Autonomous Robotic Reinforcement Learning with Asynchronous Human Feedback Max Balsells M. Torné Zihan Wang Samedh Desai Pulkit Agrawal Abhishek Gupta 42 10 0 31 Oct 2023
DiffEnc: Variational Diffusion with a Learned Encoder Beatrix M. G. Nielsen Anders Christensen Andrea Dittadi Ole Winther DiffM 18 10 0 30 Oct 2023
ViR: Towards Efficient Vision Retention Backbones Ali Hatamizadeh Michael Ranzinger Shiyi Lan Jose M. Alvarez Sanja Fidler Jan Kautz GNN 22 1 0 30 Oct 2023
Energy-Based Models for Anomaly Detection: A Manifold Diffusion Recovery Approach Sangwoong Yoon Young-Uk Jin Yung-Kyun Noh Frank C. Park 21 12 0 28 Oct 2023
Learning an Inventory Control Policy with General Inventory Arrival Dynamics Sohrab Andaz Carson Eisenach Dhruv Madeka Kari Torkkola Randy Jia Dean Phillips Foster Sham Kakade 30 2 0 26 Oct 2023
MixerFlow: MLP-Mixer meets Normalising Flows Eshant English Matthias Kirchler Christoph Lippert TPM 14 0 0 25 Oct 2023
I $^2$ MD: 3D Action Representation Learning with Inter- and Intra-modal Mutual Distillation Yunyao Mao Jiajun Deng Wen-gang Zhou Zhenbo Lu Wanli Ouyang Houqiang Li VLM 30 1 0 24 Oct 2023
Online Detection of AI-Generated Images David C. Epstein Ishan Jain Oliver Wang Richard Y. Zhang 29 53 0 23 Oct 2023
Matryoshka Diffusion Models Jiatao Gu Shuangfei Zhai Yizhen Zhang Joshua M. Susskind Navdeep Jaitly DiffM 21 43 0 23 Oct 2023
A Pytorch Reproduction of Masked Generative Image Transformer Victor Besnier Mickael Chen ViT 61 12 0 22 Oct 2023
Generative Marginalization Models Sulin Liu Peter J. Ramadge Ryan P. Adams 32 1 0 19 Oct 2023
Neural Likelihood Approximation for Integer Valued Time Series Data Luke O'Loughlin John Maclean Andrew Black AI4TS 15 0 0 19 Oct 2023
Top-K Pooling with Patch Contrastive Learning for Weakly-Supervised Semantic Segmentation Wangyu Wu Tianhong Dai Xiaowei Huang Fei Ma Jimin Xiao ViT 36 9 0 15 Oct 2023
LL-VQ-VAE: Learnable Lattice Vector-Quantization For Efficient Representations Ahmed Khalil Robert Piechocki Raúl Santos-Rodríguez 15 2 0 13 Oct 2023
Neural Diffusion Models Grigory Bartosh Dmitry Vetrov C. A. Naesseth DiffM 24 6 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 38 8 0 10 Oct 2023
EdVAE: Mitigating Codebook Collapse with Evidential Discrete Variational Autoencoders Gulcin Baykal M. Kandemir Gözde B. Ünal 24 12 0 09 Oct 2023
Analyzing and Improving Optimal-Transport-based Adversarial Networks Jaemoo Choi Jaewoong Choi Myungjoo Kang OT 32 4 0 04 Oct 2023
Predicated Diffusion: Predicate Logic-Based Attention Guidance for Text-to-Image Diffusion Models Kota Sueyoshi Takashi Matsubara DiffM 15 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 31 18 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 34 15 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 26 92 0 28 Sep 2023
Transformer-VQ: Linear-Time Transformers via Vector Quantization Albert Mohwald 28 15 0 28 Sep 2023
A Unified View of Differentially Private Deep Generative Modeling Dingfan Chen Raouf Kerkouche Mario Fritz SyDa 26 4 0 27 Sep 2023
Deep Generative Methods for Producing Forecast Trajectories in Power Systems Nathan Weill Jonathan Dumas AI4TS 27 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 11 3 0 24 Sep 2023