Pixel Recurrent Neural Networks

25 January 2016

Aaron van den Oord

Papers citing "Pixel Recurrent Neural Networks"

50 / 1,376 papers shown

Title
Enhancing Image Layout Control with Loss-Guided Diffusion Models Zakaria Patel Kirill Serkh DiffM 36 3 0 23 May 2024
PT43D: A Probabilistic Transformer for Generating 3D Shapes from Single Highly-Ambiguous RGB Images Yiheng Xiong Angela Dai ViT 32 0 0 20 May 2024
Lumina-T2X: Transforming Text into Any Modality, Resolution, and Duration via Flow-based Large Diffusion Transformers Peng Gao Le Zhuo Ziyi Lin Ruoyi Du Xu Luo ... Weicai Ye He Tong Jingwen He Yu Qiao Hongsheng Li VGen 37 83 0 09 May 2024
Generated Contents Enrichment Mahdi Naseri Jiayan Qiu Zhou Wang 34 0 0 06 May 2024
A method for quantifying the generalization capabilities of generative models for solving Ising models Qunlong Ma Zhi Ma Ming Gao 30 0 0 06 May 2024
SwipeGANSpace: Swipe-to-Compare Image Generation via Efficient Latent Space Exploration Yuto Nakashima Mingzhe Yang Yukino Baba GAN 44 1 0 30 Apr 2024
Deep generative modelling of canonical ensemble with differentiable thermal properties Shuo-Hui Li Yao-Wen Zhang Ding Pan DRL SyDa 36 1 0 29 Apr 2024
One-Shot Image Restoration Deborah Pereg SupR 31 1 0 26 Apr 2024
AI-Generated Faces in the Real World: A Large-Scale Case Study of Twitter Profile Images Jonas Ricker Dennis Assenmacher Thorsten Holz Asja Fischer Erwin Quiring 31 7 0 22 Apr 2024
Vim4Path: Self-Supervised Vision Mamba for Histopathology Images Ali Nasiri-Sarvi Vincent Quoc-Huy Trinh Hassan Rivaz Mahdi S. Hosseini 41 6 0 20 Apr 2024
Neural Flow Diffusion Models: Learnable Forward Process for Improved Diffusion Modelling Grigory Bartosh Dmitry Vetrov C. A. Naesseth DiffM 34 7 0 19 Apr 2024
Conformal Prediction via Regression-as-Classification E. Guha Shlok Natarajan Thomas Möllenhoff Mohammad Emtiyaz Khan Eugène Ndiaye 24 11 0 12 Apr 2024
Adapting LLaMA Decoder to Vision Transformer Jiahao Wang Wenqi Shao Mengzhao Chen Chengyue Wu Yong Liu Taiqiang Wu Kaipeng Zhang Songyang Zhang Kai-xiang Chen Ping Luo MLLM 38 4 0 10 Apr 2024
Message Passing Variational Autoregressive Network for Solving Intractable Ising Models Qunlong Ma Zhi Ma Jinlong Xu Hairui Zhang Ming Gao 27 5 0 09 Apr 2024
Deep Learning-Based Out-of-distribution Source Code Data Identification: How Far Have We Gone? Van Nguyen Xingliang Yuan Tingmin Wu Surya Nepal M. Grobler Carsten Rudolph 45 1 0 09 Apr 2024
Mask-ControlNet: Higher-Quality Image Generation with An Additional Mask Prompt Zhiqi Huang Hui Xiong Haoyu Wang Longguang Wang Zhiheng Li DiffM 38 0 0 08 Apr 2024
Generative weather for improved crop model simulations Yuji Saikai 19 1 0 31 Mar 2024
Transformer based Pluralistic Image Completion with Reduced Information Loss Qiankun Liu Yuqi Jiang Zhentao Tan Dongdong Chen Ying Fu Qi Chu Gang Hua Nenghai Yu ViT 68 11 0 31 Mar 2024
Ultra-High-Resolution Image Synthesis with Pyramid Diffusion Model Jiajie Yang 40 0 0 19 Mar 2024
Generative Modelling of Stochastic Rotating Shallow Water Noise Dan Crisan Oana Lang Alexander Lobbe 29 0 0 15 Mar 2024
Self-Supervised Learning for Time Series: Contrastive or Generative? Ziyu Liu Azadeh Alavi Minyi Li Xiang Zhang AI4TS 48 7 0 14 Mar 2024
Denoising Autoregressive Representation Learning Yazhe Li J. Bornschein Ting Chen DiffM 40 3 0 08 Mar 2024
Stop Regressing: Training Value Functions via Classification for Scalable Deep RL Jesse Farebrother Jordi Orbay Q. Vuong Adrien Ali Taïga Yevgen Chebotar ... Sergey Levine Pablo Samuel Castro Aleksandra Faust Aviral Kumar Rishabh Agarwal OffRL 56 56 0 06 Mar 2024
Large Convolutional Model Tuning via Filter Subspace Wei Chen Zichen Miao Qiang Qiu 51 3 0 01 Mar 2024
Exploring Privacy and Fairness Risks in Sharing Diffusion Models: An Adversarial Perspective Xinjian Luo Yangfan Jiang Fei Wei Yuncheng Wu Xiaokui Xiao Beng Chin Ooi DiffM 40 4 0 28 Feb 2024
Diffusion Model-Based Image Editing: A Survey Yi Huang Jiancheng Huang Yifan Liu Mingfu Yan Jiaxi Lv Jianzhuang Liu Wei Xiong He Zhang Liangliang Cao Liangliang Cao EGVM 66 85 0 27 Feb 2024
Collaborative Control for Geometry-Conditioned PBR Image Generation Shimon Vainer Mark Boss Mathias Parger Konstantin Kutsy Dante De Nigris Ciara Rowles Nicolas Perony Simon Donné DiffM 26 12 0 08 Feb 2024
Mamba-ND: Selective State Space Modeling for Multi-Dimensional Data Shufan Li Harkanwar Singh Aditya Grover Mamba 92 56 0 08 Feb 2024
Scalable Wasserstein Gradient Flow for Generative Modeling through Unbalanced Optimal Transport Jaemoo Choi Jaewoong Choi Myungjoo Kang 43 6 0 08 Feb 2024
Data-efficient Large Vision Models through Sequential Autoregression Jianyuan Guo Zhiwei Hao Chengcheng Wang Yehui Tang Han Wu Han Hu Kai Han Chang Xu VLM 38 10 0 07 Feb 2024
Denoising Diffusion via Image-Based Rendering Titas Anciukevicius Fabian Manhardt Federico Tombari Paul Henderson 47 11 0 05 Feb 2024
Deep autoregressive density nets vs neural ensembles for model-based offline reinforcement learning Abdelhakim Benechehab Albert Thomas Balázs Kégl OffRL 35 2 0 05 Feb 2024
Compositional Generative Modeling: A Single Model is Not All You Need Yilun Du L. Kaelbling PINN GAN 51 20 0 02 Feb 2024
Diffusion-based Graph Generative Methods Hongyang Chen Can Xu Lingyu Zheng Qiang Zhang Xuemin Lin DiffM MedIm 29 0 0 28 Jan 2024
A real-time rendering method for high albedo anisotropic materials with multiple scattering Shun Fang Xing Feng Ming Cui 11 0 0 25 Jan 2024
FLLIC: Functionally Lossless Image Compression Xi Zhang Xiaolin Wu 24 0 0 24 Jan 2024
An Efficient Implicit Neural Representation Image Codec Based on Mixed Autoregressive Model for Low-Complexity Decoding Xiang Liu Jiahong Chen Bin Chen Zimo Liu Baoyi An Shu-Tao Xia Zhi Wang 46 0 0 23 Jan 2024
Text-to-Image Cross-Modal Generation: A Systematic Review Maciej Żelaszczyk Jacek Mańdziuk 35 3 0 21 Jan 2024
A Simple Latent Diffusion Approach for Panoptic Segmentation and Mask Inpainting Wouter Van Gansbeke Bert De Brabandere DiffM 46 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 32 3 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 33 71 0 16 Jan 2024
MICA: Towards Explainable Skin Lesion Diagnosis via Multi-Level Image-Concept Alignment Yequan Bie Luyang Luo Hao Chen 26 14 0 16 Jan 2024
An attempt to generate new bridge types from latent space of PixelCNN Hongjun Zhang 11 4 0 11 Jan 2024
PIXAR: Auto-Regressive Language Modeling in Pixel Space Yintao Tai Xiyang Liao Alessandro Suglia Antonio Vergari MLLM 26 7 0 06 Jan 2024
Reversing the Irreversible: A Survey on Inverse Biometrics M. Gomez-Barrero Javier Galbally 51 67 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 42 3 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 31 0 0 04 Jan 2024
Deep autoregressive modeling for land use land cover C. Krapu Mark Borsuk Ryan Calder BDL 17 0 0 02 Jan 2024
Brain-Conditional Multimodal Synthesis: A Survey and Taxonomy Weijian Mai Jian Zhang Pengfei Fang Zhijun Zhang 51 9 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 43 11 0 31 Dec 2023