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Pixel Recurrent Neural Networks

Pixel Recurrent Neural Networks

25 January 2016
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
    SSeg
    GAN
ArXivPDFHTML

Papers citing "Pixel Recurrent Neural Networks"

50 / 1,376 papers shown
Title
Pre-trained Multiple Latent Variable Generative Models are good
  defenders against Adversarial Attacks
Pre-trained Multiple Latent Variable Generative Models are good defenders against Adversarial Attacks
Dario Serez
Marco Cristani
Alessio Del Bue
Vittorio Murino
Pietro Morerio
AAML
83
0
0
04 Dec 2024
Multi-resolution Guided 3D GANs for Medical Image Translation
Multi-resolution Guided 3D GANs for Medical Image Translation
Juhyung Ha
Jong Sung Park
David Crandall
Eleftherios Garyfallidis
Xuhong Zhang
MedIm
85
0
0
30 Nov 2024
Machine learning the Ising transition: A comparison between
  discriminative and generative approaches
Machine learning the Ising transition: A comparison between discriminative and generative approaches
Difei Zhang
Frank Schafer
Julian Arnold
65
0
0
28 Nov 2024
Continuous Autoregressive Models with Noise Augmentation Avoid Error
  Accumulation
Continuous Autoregressive Models with Noise Augmentation Avoid Error Accumulation
Marco Pasini
J. Nistal
Stefan Lattner
George Fazekas
69
3
0
27 Nov 2024
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation
M. Valiuddin
R. V. Sloun
C.G.A. Viviers
Peter H. N. de With
Fons van der Sommen
UQCV
91
1
0
25 Nov 2024
PanoLlama: Generating Endless and Coherent Panoramas with Next-Token-Prediction LLMs
PanoLlama: Generating Endless and Coherent Panoramas with Next-Token-Prediction LLMs
Teng Zhou
Xiaoyu Zhang
Yongchuan Tang
MLLM
DiffM
95
0
0
24 Nov 2024
Color-Oriented Redundancy Reduction in Dataset Distillation
Bowen Yuan
Zijian Wang
Mahsa Baktashmotlagh
Yadan Luo
Zi Huang
DD
83
2
0
18 Nov 2024
Autoregressive Models in Vision: A Survey
Autoregressive Models in Vision: A Survey
Jing Xiong
Gongye Liu
Lun Huang
Chengyue Wu
Taiqiang Wu
...
M. Zhang
Guillermo Sapiro
Jiebo Luo
Ping Luo
Ngai Wong
VGen
48
9
0
08 Nov 2024
Randomized Autoregressive Visual Generation
Randomized Autoregressive Visual Generation
Qihang Yu
Ju He
XueQing Deng
Xiaohui Shen
Liang-Chieh Chen
VGen
DiffM
57
30
1
01 Nov 2024
How Do Flow Matching Models Memorize and Generalize in Sample Data
  Subspaces?
How Do Flow Matching Models Memorize and Generalize in Sample Data Subspaces?
Weiguo Gao
Ming Li
OOD
45
2
0
31 Oct 2024
Towards Unifying Understanding and Generation in the Era of Vision
  Foundation Models: A Survey from the Autoregression Perspective
Towards Unifying Understanding and Generation in the Era of Vision Foundation Models: A Survey from the Autoregression Perspective
Shenghao Xie
Wenqiang Zu
Mingyang Zhao
Duo Su
Shilong Liu
Ruohua Shi
Guoqi Li
Shanghang Zhang
Lei Ma
LRM
44
3
0
29 Oct 2024
LARP: Tokenizing Videos with a Learned Autoregressive Generative Prior
LARP: Tokenizing Videos with a Learned Autoregressive Generative Prior
Hanyu Wang
Saksham Suri
Yixuan Ren
Hao Chen
Abhinav Shrivastava
VGen
31
9
0
28 Oct 2024
Learning Lossless Compression for High Bit-Depth Volumetric Medical
  Image
Learning Lossless Compression for High Bit-Depth Volumetric Medical Image
Kai Wang
Yuanchao Bai
Daxin Li
Deming Zhai
Junjun Jiang
Xianming Liu
34
2
0
23 Oct 2024
Acoustic Model Optimization over Multiple Data Sources: Merging and
  Valuation
Acoustic Model Optimization over Multiple Data Sources: Merging and Valuation
Victor Junqiu Wei
Weicheng Wang
Di Jiang
Conghui Tan
Rongzhong Lian
MoMe
30
0
0
21 Oct 2024
Fluid: Scaling Autoregressive Text-to-image Generative Models with
  Continuous Tokens
Fluid: Scaling Autoregressive Text-to-image Generative Models with Continuous Tokens
Lijie Fan
Tianhong Li
Siyang Qin
Yuanzhen Li
Chen Sun
Michael Rubinstein
Deqing Sun
Kaiming He
Yonglong Tian
VLM
DiffM
48
41
0
17 Oct 2024
Arbitrarily-Conditioned Multi-Functional Diffusion for Multi-Physics
  Emulation
Arbitrarily-Conditioned Multi-Functional Diffusion for Multi-Physics Emulation
Da Long
Zhitong Xu
Guang Yang
A. Narayan
Shandian Zhe
DiffM
AI4CE
18
1
0
17 Oct 2024
CryoFM: A Flow-based Foundation Model for Cryo-EM Densities
CryoFM: A Flow-based Foundation Model for Cryo-EM Densities
Yi Zhou
Yilai Li
Jing Yuan
Quanquan Gu
33
1
0
11 Oct 2024
Level of agreement between emotions generated by Artificial Intelligence
  and human evaluation: a methodological proposal
Level of agreement between emotions generated by Artificial Intelligence and human evaluation: a methodological proposal
Miguel Carrasco
César González-Martín
Sonia Navajas-Torrente
Raul Dastres
44
1
0
10 Oct 2024
DART: Denoising Autoregressive Transformer for Scalable Text-to-Image Generation
DART: Denoising Autoregressive Transformer for Scalable Text-to-Image Generation
Jiatao Gu
Yuyang Wang
Yizhe Zhang
Qihang Zhang
Dinghuai Zhang
Navdeep Jaitly
Josh Susskind
Shuangfei Zhai
DiffM
31
12
0
10 Oct 2024
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
Yuan Zhang
Chun-Kai Fan
Junpeng Ma
Wenzhao Zheng
Tao Huang
...
Denis A. Gudovskiy
Tomoyuki Okuno
Yohei Nakata
Kurt Keutzer
Shanghang Zhang
VLM
30
37
0
06 Oct 2024
ControlAR: Controllable Image Generation with Autoregressive Models
ControlAR: Controllable Image Generation with Autoregressive Models
Zongming Li
Tianheng Cheng
Shoufa Chen
Peize Sun
Haocheng Shen
Longjin Ran
Xiaoxin Chen
Wenyu Liu
Xinggang Wang
DiffM
134
14
0
03 Oct 2024
Fake It Until You Break It: On the Adversarial Robustness of
  AI-generated Image Detectors
Fake It Until You Break It: On the Adversarial Robustness of AI-generated Image Detectors
Sina Mavali
Jonas Ricker
David Pape
Yash Sharma
Asja Fischer
Lea Schönherr
AAML
36
3
0
02 Oct 2024
Denoising with a Joint-Embedding Predictive Architecture
Denoising with a Joint-Embedding Predictive Architecture
Dengsheng Chen
Jie Hu
Xiaoming Wei
Enhua Wu
DiffM
52
2
0
02 Oct 2024
Conditional Image Synthesis with Diffusion Models: A Survey
Conditional Image Synthesis with Diffusion Models: A Survey
Zheyuan Zhan
Defang Chen
Jian-Ping Mei
Zhenghe Zhao
Jiawei Chen
Chun Chen
Siwei Lyu
Can Wang
VLM
45
5
0
28 Sep 2024
Rejection Sampling IMLE: Designing Priors for Better Few-Shot Image
  Synthesis
Rejection Sampling IMLE: Designing Priors for Better Few-Shot Image Synthesis
Chirag Vashist
Shichong Peng
Ke Li
DiffM
32
1
0
26 Sep 2024
DynaMo: In-Domain Dynamics Pretraining for Visuo-Motor Control
DynaMo: In-Domain Dynamics Pretraining for Visuo-Motor Control
Zichen Jeff Cui
Hengkai Pan
Aadhithya Iyer
Siddhant Haldar
Lerrel Pinto
VGen
33
10
0
18 Sep 2024
BAD: Bidirectional Auto-regressive Diffusion for Text-to-Motion
  Generation
BAD: Bidirectional Auto-regressive Diffusion for Text-to-Motion Generation
Seyed Rohollah Hosseyni
Ali Ahmad Rahmani
S. J. Seyedmohammadi
Sanaz Seyedin
Arash Mohammadi
DiffM
45
7
0
17 Sep 2024
Scalable Autoregressive Image Generation with Mamba
Scalable Autoregressive Image Generation with Mamba
Haopeng Li
Jinyue Yang
Kexin Wang
Xuerui Qiu
Yuhong Chou
Xin Li
Guoqi Li
Mamba
55
12
0
22 Aug 2024
Low-Quality Image Detection by Hierarchical VAE
Low-Quality Image Detection by Hierarchical VAE
Tomoyasu Nanaumi
Kazuhiko Kawamoto
Hiroshi Kera
27
0
0
20 Aug 2024
Parallel Sampling via Counting
Parallel Sampling via Counting
Nima Anari
Ruiquan Gao
Aviad Rubinstein
58
3
0
18 Aug 2024
A Non-negative VAE:the Generalized Gamma Belief Network
A Non-negative VAE:the Generalized Gamma Belief Network
Zhibin Duan
Tiansheng Wen
Muyao Wang
Bo Chen
Mingyuan Zhou
BDL
27
1
0
06 Aug 2024
LDFaceNet: Latent Diffusion-based Network for High-Fidelity Deepfake
  Generation
LDFaceNet: Latent Diffusion-based Network for High-Fidelity Deepfake Generation
Dwij Mehta
Aditya Mehta
Pratik Narang
DiffM
48
0
0
04 Aug 2024
VAR-CLIP: Text-to-Image Generator with Visual Auto-Regressive Modeling
VAR-CLIP: Text-to-Image Generator with Visual Auto-Regressive Modeling
Qian Zhang
Xiangzi Dai
Ninghua Yang
Xiang An
Ziyong Feng
Xingyu Ren
VLM
CLIP
43
17
0
02 Aug 2024
Robust VAEs via Generating Process of Noise Augmented Data
Robust VAEs via Generating Process of Noise Augmented Data
Hiroo Irobe
Wataru Aoki
Kimihiro Yamazaki
Yuhui Zhang
Takumi Nakagawa
Hiroki Waida
Yuichiro Wada
Takafumi Kanamori
AAML
21
0
0
26 Jul 2024
What's the score? Automated Denoising Score Matching for Nonlinear
  Diffusions
What's the score? Automated Denoising Score Matching for Nonlinear Diffusions
Raghav Singhal
Mark Goldstein
Rajesh Ranganath
DiffM
64
4
0
10 Jul 2024
Mobius: A High Efficient Spatial-Temporal Parallel Training Paradigm for
  Text-to-Video Generation Task
Mobius: A High Efficient Spatial-Temporal Parallel Training Paradigm for Text-to-Video Generation Task
Yiran Yang
Jinchao Zhang
Ying Deng
Jie Zhou
DiffM
31
0
0
09 Jul 2024
Entropy-Informed Weighting Channel Normalizing Flow
Entropy-Informed Weighting Channel Normalizing Flow
Wei Chen
Shian Du
Shigui Li
Delu Zeng
John Paisley
34
0
0
06 Jul 2024
Vision Mamba for Classification of Breast Ultrasound Images
Vision Mamba for Classification of Breast Ultrasound Images
Ali Nasiri-Sarvi
Mahdi S. Hosseini
Hassan Rivaz
41
5
0
04 Jul 2024
Do As I Do: Pose Guided Human Motion Copy
Do As I Do: Pose Guided Human Motion Copy
Sifan Wu
Zhenguang Liu
Beibei Zhang
Roger Zimmermann
Zhongjie Ba
Xiaosong Zhang
Kui Ren
36
8
0
24 Jun 2024
Ranking LLMs by compression
Ranking LLMs by compression
Peijia Guo
Ziguang Li
Haibo Hu
Chao Huang
Ming Li
Rui Zhang
36
1
0
20 Jun 2024
Sampling 3D Gaussian Scenes in Seconds with Latent Diffusion Models
Sampling 3D Gaussian Scenes in Seconds with Latent Diffusion Models
Paul Henderson
Melonie de Almeida
D. Ivanova
Titas Anciukevicius
3DGS
48
4
0
18 Jun 2024
Autoregressive Image Generation without Vector Quantization
Autoregressive Image Generation without Vector Quantization
Tianhong Li
Yonglong Tian
He Li
Mingyang Deng
Kaiming He
DiffM
53
178
0
17 Jun 2024
Scaling the Codebook Size of VQGAN to 100,000 with a Utilization Rate of
  99%
Scaling the Codebook Size of VQGAN to 100,000 with a Utilization Rate of 99%
Lei Zhu
Fangyun Wei
Yanye Lu
Dong Chen
VLM
43
34
0
17 Jun 2024
Latent Denoising Diffusion GAN: Faster sampling, Higher image quality
Latent Denoising Diffusion GAN: Faster sampling, Higher image quality
Luan Thanh Trinh
T. Hamagami
DiffM
40
5
0
17 Jun 2024
Efficient Mixture Learning in Black-Box Variational Inference
Efficient Mixture Learning in Black-Box Variational Inference
A. Hotti
Oskar Kviman
Ricky Molén
Victor Elvira
Jens Lagergren
41
1
0
11 Jun 2024
Is Value Functions Estimation with Classification Plug-and-play for
  Offline Reinforcement Learning?
Is Value Functions Estimation with Classification Plug-and-play for Offline Reinforcement Learning?
Denis Tarasov
Kirill Brilliantov
Dmitrii Kharlapenko
OffRL
32
2
0
10 Jun 2024
ZeroPur: Succinct Training-Free Adversarial Purification
ZeroPur: Succinct Training-Free Adversarial Purification
Xiuli Bi
Zonglin Yang
Bo Liu
Xiaodong Cun
Chi-Man Pun
Pietro Liò
Bin Xiao
38
0
0
05 Jun 2024
Trajectory Forecasting through Low-Rank Adaptation of Discrete Latent
  Codes
Trajectory Forecasting through Low-Rank Adaptation of Discrete Latent Codes
Riccardo Benaglia
Angelo Porrello
Pietro Buzzega
Simone Calderara
Rita Cucchiara
20
0
0
31 May 2024
AstroPT: Scaling Large Observation Models for Astronomy
AstroPT: Scaling Large Observation Models for Astronomy
Michael J. Smith
Ryan J. Roberts
E. Angeloudi
M. Huertas-Company
46
1
0
23 May 2024
Survey on Visual Signal Coding and Processing with Generative Models:
  Technologies, Standards and Optimization
Survey on Visual Signal Coding and Processing with Generative Models: Technologies, Standards and Optimization
Zhibo Chen
Heming Sun
Li Zhang
Fan Zhang
40
3
0
23 May 2024
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