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Pixel Recurrent Neural Networks

25 January 2016

Papers citing "Pixel Recurrent Neural Networks"

50 / 1,388 papers shown

Title
Text-to-Image Cross-Modal Generation: A Systematic Review Maciej Żelaszczyk Jacek Mańdziuk 97 4 0 21 Jan 2024
A Simple Latent Diffusion Approach for Panoptic Segmentation and Mask Inpainting Wouter Van Gansbeke Bert De Brabandere DiffM 123 11 0 18 Jan 2024
AiGen-FoodReview: A Multimodal Dataset of Machine-Generated Restaurant Reviews and Images on Social Media Alessandro Gambetti Qiwei Han DeLMO 59 4 0 16 Jan 2024
Scalable Pre-training of Large Autoregressive Image Models Alaaeldin El-Nouby Michal Klein Shuangfei Zhai Miguel Angel Bautista Alexander Toshev Vaishaal Shankar J. Susskind Armand Joulin VLM 105 80 0 16 Jan 2024
MICA: Towards Explainable Skin Lesion Diagnosis via Multi-Level Image-Concept Alignment Yequan Bie Luyang Luo Hao Chen 79 15 0 16 Jan 2024
An attempt to generate new bridge types from latent space of PixelCNN Hongjun Zhang 21 4 0 11 Jan 2024
PIXAR: Auto-Regressive Language Modeling in Pixel Space Yintao Tai Xiyang Liao Alessandro Suglia Antonio Vergari MLLM 74 9 0 06 Jan 2024
Reversing the Irreversible: A Survey on Inverse Biometrics M. Gomez-Barrero Javier Galbally 82 69 0 05 Jan 2024
Bring Metric Functions into Diffusion Models Jie An Zhengyuan Yang Jianfeng Wang Linjie Li Zicheng Liu Lijuan Wang Jiebo Luo DiffM 72 6 0 04 Jan 2024
Bayesian Intrinsic Groupwise Image Registration: Unsupervised Disentanglement of Anatomy and Geometry Xinzhe Luo Xin Wang Linda Shapiro Chun Yuan Jianfeng Feng Xiahai Zhuang 76 0 0 04 Jan 2024
Deep autoregressive modeling for land use land cover C. Krapu Mark Borsuk Ryan Calder BDL 48 1 0 02 Jan 2024
Brain-Conditional Multimodal Synthesis: A Survey and Taxonomy Weijian Mai Jian Zhang Pengfei Fang Zhijun Zhang 177 11 0 31 Dec 2023
HQ-VAE: Hierarchical Discrete Representation Learning with Variational Bayes Yuhta Takida Yukara Ikemiya Takashi Shibuya Kazuki Shimada Woosung Choi ... Naoki Murata Toshimitsu Uesaka Kengo Uchida Wei-Hsiang Liao Yuki Mitsufuji BDL 112 13 0 31 Dec 2023
Discrete Distribution Networks Lei Yang 130 1 0 29 Dec 2023
SutraNets: Sub-series Autoregressive Networks for Long-Sequence, Probabilistic Forecasting Shane Bergsma Timothy J. Zeyl Lei Guo AI4TS 98 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 88 12 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 239 4 0 21 Dec 2023
Diffusion Models With Learned Adaptive Noise Subham Sekhar Sahoo Aaron Gokaslan Christopher De Sa Volodymyr Kuleshov DiffM 120 16 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 120 9 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 99 22 0 16 Dec 2023
Topic-VQ-VAE: Leveraging Latent Codebooks for Flexible Topic-Guided Document Generation YoungJoon Yoo Jongwon Choi BDL 79 2 0 15 Dec 2023
TERM Model: Tensor Ring Mixture Model for Density Estimation Ruituo Wu Jiani Liu Ce Zhu Anh-Huy Phan Ivan Oseledets Yipeng Liu 64 0 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 119 6 0 12 Dec 2023
Free3D: Consistent Novel View Synthesis without 3D Representation Chuanxia Zheng Andrea Vedaldi 3DV 136 50 0 07 Dec 2023
Rejuvenating image-GPT as Strong Visual Representation Learners Sucheng Ren Zeyu Wang Hongru Zhu Junfei Xiao Alan Yuille Cihang Xie VLM 116 8 0 04 Dec 2023
GIVT: Generative Infinite-Vocabulary Transformers Michael Tschannen Cian Eastwood Fabian Mentzer 102 41 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 88 169 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 129 16 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 90 7 0 30 Nov 2023
IA-LSTM: Interaction-Aware LSTM for Pedestrian Trajectory Prediction Yuehai Chen HAI 76 13 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 126 109 0 22 Nov 2023
Generative Machine Learning for Multivariate Equity Returns Ruslan Tepelyan Achintya Gopal AIFin SyDa 70 6 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 131 275 0 10 Nov 2023
Diffusion-Generative Multi-Fidelity Learning for Physical Simulation Zheng Wang Shibo Li Shikai Fang Shandian Zhe DiffM AI4CE 46 2 0 09 Nov 2023
Improved DDIM Sampling with Moment Matching Gaussian Mixtures Prasad Gabbur DiffM 50 1 0 08 Nov 2023
Idempotent Generative Network Assaf Shocher Amil Dravid Yossi Gandelsman Inbar Mosseri Michael Rubinstein Alexei A. Efros 101 16 0 02 Nov 2023
Autonomous Robotic Reinforcement Learning with Asynchronous Human Feedback Max Balsells M. Torné Zihan Wang Samedh Desai Pulkit Agrawal Abhishek Gupta 97 10 0 31 Oct 2023
DiffEnc: Variational Diffusion with a Learned Encoder Beatrix M. G. Nielsen Anders Christensen Andrea Dittadi Ole Winther DiffM 125 13 0 30 Oct 2023
ViR: Towards Efficient Vision Retention Backbones Ali Hatamizadeh Michael Ranzinger Shiyi Lan Jose M. Alvarez Sanja Fidler Jan Kautz GNN 33 2 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 86 15 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 59 2 0 26 Oct 2023
MixerFlow: MLP-Mixer meets Normalising Flows Eshant English Matthias Kirchler Christoph Lippert TPM 65 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 85 1 0 24 Oct 2023
Online Detection of AI-Generated Images David C. Epstein Ishan Jain Oliver Wang Richard Y. Zhang 72 60 0 23 Oct 2023
Matryoshka Diffusion Models Jiatao Gu Shuangfei Zhai Yizhen Zhang Joshua M. Susskind Navdeep Jaitly DiffM 102 47 0 23 Oct 2023
A Pytorch Reproduction of Masked Generative Image Transformer Victor Besnier Mickael Chen ViT 111 12 0 22 Oct 2023
Generative Marginalization Models Sulin Liu Peter J. Ramadge Ryan P. Adams 74 1 0 19 Oct 2023
Neural Likelihood Approximation for Integer Valued Time Series Data Luke O'Loughlin John Maclean Andrew Black AI4TS 44 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 73 9 0 15 Oct 2023
LL-VQ-VAE: Learnable Lattice Vector-Quantization For Efficient Representations Ahmed Khalil Robert Piechocki Raúl Santos-Rodríguez 54 2 0 13 Oct 2023