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Pixel Recurrent Neural Networks
v1v2v3 (latest)

Pixel Recurrent Neural Networks

25 January 2016
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
    SSegGAN
ArXiv (abs)PDFHTML

Papers citing "Pixel Recurrent Neural Networks"

50 / 1,388 papers shown
Title
Text-to-Image Cross-Modal Generation: A Systematic Review
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
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
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
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
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
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
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
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
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
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
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
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
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
Discrete Distribution Networks
Lei Yang
130
1
0
29 Dec 2023
SutraNets: Sub-series Autoregressive Networks for Long-Sequence,
  Probabilistic Forecasting
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
C2FAR: Coarse-to-Fine Autoregressive Networks for Precise Probabilistic Forecasting
Shane Bergsma
Timothy J. Zeyl
J. R. Anaraki
Lei Guo
BDLAI4TS
88
12
0
22 Dec 2023
HeadCraft: Modeling High-Detail Shape Variations for Animated 3DMMs
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
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
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
ViTAI4TS
120
9
0
18 Dec 2023
CoCoGen: Physically-Consistent and Conditioned Score-based Generative
  Models for Forward and Inverse Problems
CoCoGen: Physically-Consistent and Conditioned Score-based Generative Models for Forward and Inverse Problems
Christian L. Jacobsen
Yilin Zhuang
Karthik Duraisamy
AI4CESyDaDiffM
99
22
0
16 Dec 2023
Topic-VQ-VAE: Leveraging Latent Codebooks for Flexible Topic-Guided
  Document Generation
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
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
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
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
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
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
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
MLLMVLM
88
169
0
01 Dec 2023
SPOT: Self-Training with Patch-Order Permutation for Object-Centric
  Learning with Autoregressive Transformers
SPOT: Self-Training with Patch-Order Permutation for Object-Centric Learning with Autoregressive Transformers
Ioannis Kakogeorgiou
Spyros Gidaris
Konstantinos Karantzalos
N. Komodakis
ViTOCL
129
16
0
01 Dec 2023
DREAM: Diffusion Rectification and Estimation-Adaptive Models
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
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
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
Generative Machine Learning for Multivariate Equity Returns
Ruslan Tepelyan
Achintya Gopal
AIFinSyDa
70
6
0
21 Nov 2023
Instant3D: Fast Text-to-3D with Sparse-View Generation and Large
  Reconstruction Model
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
Diffusion-Generative Multi-Fidelity Learning for Physical Simulation
Zheng Wang
Shibo Li
Shikai Fang
Shandian Zhe
DiffMAI4CE
46
2
0
09 Nov 2023
Improved DDIM Sampling with Moment Matching Gaussian Mixtures
Improved DDIM Sampling with Moment Matching Gaussian Mixtures
Prasad Gabbur
DiffM
50
1
0
08 Nov 2023
Idempotent Generative Network
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
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
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
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
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
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
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
I2^22MD: 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
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
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
A Pytorch Reproduction of Masked Generative Image Transformer
Victor Besnier
Mickael Chen
ViT
111
12
0
22 Oct 2023
Generative Marginalization Models
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
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
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
LL-VQ-VAE: Learnable Lattice Vector-Quantization For Efficient Representations
Ahmed Khalil
Robert Piechocki
Raúl Santos-Rodríguez
54
2
0
13 Oct 2023
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