ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1701.05517
  4. Cited By
PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture
  Likelihood and Other Modifications

PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications

19 January 2017
Tim Salimans
A. Karpathy
Xi Chen
Diederik P. Kingma
ArXiv (abs)PDFHTMLGithub (1943★)

Papers citing "PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications"

50 / 366 papers shown
Title
Diffuser: Efficient Transformers with Multi-hop Attention Diffusion for
  Long Sequences
Diffuser: Efficient Transformers with Multi-hop Attention Diffusion for Long Sequences
Aosong Feng
Irene Li
Yuang Jiang
Rex Ying
72
18
0
21 Oct 2022
Autoregressive Generative Modeling with Noise Conditional Maximum
  Likelihood Estimation
Autoregressive Generative Modeling with Noise Conditional Maximum Likelihood Estimation
Henry Li
Y. Kluger
45
2
0
19 Oct 2022
Optimizing Hierarchical Image VAEs for Sample Quality
Optimizing Hierarchical Image VAEs for Sample Quality
Eric Luhman
Troy Luhman
DRL
75
5
0
18 Oct 2022
Learning Multivariate CDFs and Copulas using Tensor Factorization
Learning Multivariate CDFs and Copulas using Tensor Factorization
Magda Amiridi
N. Sidiropoulos
116
1
0
13 Oct 2022
Images as Weight Matrices: Sequential Image Generation Through Synaptic
  Learning Rules
Images as Weight Matrices: Sequential Image Generation Through Synaptic Learning Rules
Kazuki Irie
Jürgen Schmidhuber
87
5
0
07 Oct 2022
GOLLIC: Learning Global Context beyond Patches for Lossless
  High-Resolution Image Compression
GOLLIC: Learning Global Context beyond Patches for Lossless High-Resolution Image Compression
Yuan Lan
Liang Qin
Zhao Sun
Yang Xiang
Jie Sun
48
2
0
07 Oct 2022
Imagen Video: High Definition Video Generation with Diffusion Models
Imagen Video: High Definition Video Generation with Diffusion Models
Jonathan Ho
William Chan
Chitwan Saharia
Jay Whang
Ruiqi Gao
...
Diederik P. Kingma
Ben Poole
Mohammad Norouzi
David J. Fleet
Tim Salimans
VGen
181
1,548
0
05 Oct 2022
Latent Plans for Task-Agnostic Offline Reinforcement Learning
Latent Plans for Task-Agnostic Offline Reinforcement Learning
Erick Rosete-Beas
Oier Mees
Gabriel Kalweit
Joschka Boedecker
Wolfram Burgard
OffRL
120
85
0
19 Sep 2022
Langevin Autoencoders for Learning Deep Latent Variable Models
Langevin Autoencoders for Learning Deep Latent Variable Models
Shohei Taniguchi
Yusuke Iwasawa
Wataru Kumagai
Yutaka Matsuo
BDLSyDa
71
2
0
15 Sep 2022
Deep Lossy Plus Residual Coding for Lossless and Near-lossless Image
  Compression
Deep Lossy Plus Residual Coding for Lossless and Near-lossless Image Compression
Yuanchao Bai
Xianming Liu
Kai Wang
Xiangyang Ji
Xiaoling Wu
Wen Gao
81
24
0
11 Sep 2022
Diffusion Models in Vision: A Survey
Diffusion Models in Vision: A Survey
Florinel-Alin Croitoru
Vlad Hondru
Radu Tudor Ionescu
M. Shah
DiffMVLMMedIm
363
1,255
0
10 Sep 2022
Shaken, and Stirred: Long-Range Dependencies Enable Robust Outlier
  Detection with PixelCNN++
Shaken, and Stirred: Long-Range Dependencies Enable Robust Outlier Detection with PixelCNN++
Barath Mohan Umapathi
Kushal Chauhan
Pradeep Shenoy
D. Sridharan
47
0
0
29 Aug 2022
Learned Lossless JPEG Transcoding via Joint Lossy and Residual
  Compression
Learned Lossless JPEG Transcoding via Joint Lossy and Residual Compression
Xiaoshuai Fan
Xin Li
Zhibo Chen
51
1
0
24 Aug 2022
Unsupervised Structure-Consistent Image-to-Image Translation
Unsupervised Structure-Consistent Image-to-Image Translation
Shima Shahfar
Charalambos (Charis) Poullis
54
0
0
24 Aug 2022
Evaluating Out-of-Distribution Detectors Through Adversarial Generation
  of Outliers
Evaluating Out-of-Distribution Detectors Through Adversarial Generation of Outliers
Sangwoong Yoon
Jinwon Choi
Yonghyeon Lee
Yung-Kyun Noh
Frank C. Park
OODD
45
1
0
20 Aug 2022
Out-of-distribution Detection via Frequency-regularized Generative
  Models
Out-of-distribution Detection via Frequency-regularized Generative Models
Mu Cai
Yixuan Li
OODD
64
33
0
18 Aug 2022
Analog Bits: Generating Discrete Data using Diffusion Models with
  Self-Conditioning
Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning
Ting-Li Chen
Ruixiang Zhang
Geoffrey E. Hinton
DiffM
116
313
0
08 Aug 2022
Momentum Transformer: Closing the Performance Gap Between Self-attention
  and Its Linearization
Momentum Transformer: Closing the Performance Gap Between Self-attention and Its Linearization
T. Nguyen
Richard G. Baraniuk
Robert M. Kirby
Stanley J. Osher
Bao Wang
119
9
0
01 Aug 2022
Can large language models reason about medical questions?
Can large language models reason about medical questions?
Valentin Liévin
C. Hother
Andreas Geert Motzfeldt
Ole Winther
ELMLM&MAAI4MHLRM
112
315
0
17 Jul 2022
Accelerated Deep Lossless Image Coding with Unified Paralleleized GPU
  Coding Architecture
Accelerated Deep Lossless Image Coding with Unified Paralleleized GPU Coding Architecture
Benjamin Lukas Cajus Barzen
Fedor Glazov
Jonas Geistert
T. Sikora
43
3
0
11 Jul 2022
Neural Inverse Transform Sampler
Neural Inverse Transform Sampler
Henry Li
Y. Kluger
52
4
0
22 Jun 2022
Generative Modelling With Inverse Heat Dissipation
Generative Modelling With Inverse Heat Dissipation
Severi Rissanen
Markus Heinonen
Arno Solin
DiffM
136
120
0
21 Jun 2022
Asymmetric Learned Image Compression with Multi-Scale Residual Block,
  Importance Map, and Post-Quantization Filtering
Asymmetric Learned Image Compression with Multi-Scale Residual Block, Importance Map, and Post-Quantization Filtering
H. Fu
Feng Liang
Jie Liang
Binglin Li
Guohe Zhang
Jingning Han
19
2
0
21 Jun 2022
Fast Lossless Neural Compression with Integer-Only Discrete Flows
Fast Lossless Neural Compression with Integer-Only Discrete Flows
Siyu Wang
Jianfei Chen
Chongxuan Li
Jun Zhu
Bo Zhang
MQ
62
7
0
17 Jun 2022
PILC: Practical Image Lossless Compression with an End-to-end GPU
  Oriented Neural Framework
PILC: Practical Image Lossless Compression with an End-to-end GPU Oriented Neural Framework
Ning Kang
Shanzhao Qiu
Shifeng Zhang
Zhenguo Li
Shutao Xia
53
19
0
10 Jun 2022
Out-of-Distribution Detection with Class Ratio Estimation
Out-of-Distribution Detection with Class Ratio Estimation
Mingtian Zhang
Andi Zhang
Tim Z. Xiao
Yitong Sun
Jingyu Sun
OODD
54
5
0
08 Jun 2022
DiVAE: Photorealistic Images Synthesis with Denoising Diffusion Decoder
DiVAE: Photorealistic Images Synthesis with Denoising Diffusion Decoder
Jie Shi
Chenfei Wu
Jian Liang
Xiang Liu
Nan Duan
DiffM
76
26
0
01 Jun 2022
Text2Human: Text-Driven Controllable Human Image Generation
Text2Human: Text-Driven Controllable Human Image Generation
Yuming Jiang
Shuai Yang
Haonan Qiu
Wayne Wu
Chen Change Loy
Ziwei Liu
DiffM
173
48
0
31 May 2022
A Continuous Time Framework for Discrete Denoising Models
A Continuous Time Framework for Discrete Denoising Models
Andrew Campbell
Joe Benton
Valentin De Bortoli
Tom Rainforth
George Deligiannidis
Arnaud Doucet
DiffM
290
168
0
30 May 2022
Mitigating Out-of-Distribution Data Density Overestimation in
  Energy-Based Models
Mitigating Out-of-Distribution Data Density Overestimation in Energy-Based Models
Beomsu Kim
Jong Chul Ye
33
1
0
30 May 2022
Improving VAE-based Representation Learning
Improving VAE-based Representation Learning
Mingtian Zhang
Tim Z. Xiao
Brooks Paige
David Barber
SSLDRL
70
10
0
28 May 2022
3DILG: Irregular Latent Grids for 3D Generative Modeling
3DILG: Irregular Latent Grids for 3D Generative Modeling
Biao Zhang
Matthias Nießner
Peter Wonka
3DV
118
91
0
27 May 2022
Training and Inference on Any-Order Autoregressive Models the Right Way
Training and Inference on Any-Order Autoregressive Models the Right Way
Andy Shih
Dorsa Sadigh
Stefano Ermon
BDLTPMOODCML
98
28
0
26 May 2022
UViM: A Unified Modeling Approach for Vision with Learned Guiding Codes
UViM: A Unified Modeling Approach for Vision with Learned Guiding Codes
Alexander Kolesnikov
André Susano Pinto
Lucas Beyer
Xiaohua Zhai
Jeremiah Harmsen
N. Houlsby
171
72
0
20 May 2022
MCVD: Masked Conditional Video Diffusion for Prediction, Generation, and
  Interpolation
MCVD: Masked Conditional Video Diffusion for Prediction, Generation, and Interpolation
Vikram S. Voleti
Alexia Jolicoeur-Martineau
Christopher Pal
DiffMVGen
151
308
0
19 May 2022
Towards Measuring Domain Shift in Histopathological Stain Translation in
  an Unsupervised Manner
Towards Measuring Domain Shift in Histopathological Stain Translation in an Unsupervised Manner
Zeeshan Nisar
Jelica Vasiljević
P. Gançarski
T. Lampert
MedIm
48
5
0
09 May 2022
SoFaiR: Single Shot Fair Representation Learning
SoFaiR: Single Shot Fair Representation Learning
Xavier Gitiaux
Huzefa Rangwala
68
4
0
26 Apr 2022
LayoutLMv3: Pre-training for Document AI with Unified Text and Image
  Masking
LayoutLMv3: Pre-training for Document AI with Unified Text and Image Masking
Yupan Huang
Tengchao Lv
Lei Cui
Yutong Lu
Furu Wei
109
464
0
18 Apr 2022
What Matters in Language Conditioned Robotic Imitation Learning over
  Unstructured Data
What Matters in Language Conditioned Robotic Imitation Learning over Unstructured Data
Oier Mees
Lukás Hermann
Wolfram Burgard
LM&Ro
109
156
0
13 Apr 2022
Video Diffusion Models
Video Diffusion Models
Jonathan Ho
Tim Salimans
Alexey A. Gritsenko
William Chan
Mohammad Norouzi
David J. Fleet
DiffMVGen
235
1,647
0
07 Apr 2022
Statistical Model Criticism of Variational Auto-Encoders
Statistical Model Criticism of Variational Auto-Encoders
Claartje Barkhof
Wilker Aziz
DRL
82
3
0
06 Apr 2022
Simple and Effective Synthesis of Indoor 3D Scenes
Simple and Effective Synthesis of Indoor 3D Scenes
Jing Yu Koh
Harsh Agrawal
Dhruv Batra
Richard Tucker
Austin Waters
Honglak Lee
Yinfei Yang
Jason Baldridge
Peter Anderson
VGen3DV
132
30
0
06 Apr 2022
Perception Prioritized Training of Diffusion Models
Perception Prioritized Training of Diffusion Models
Jooyoung Choi
Jungbeom Lee
Chaehun Shin
Sungwon Kim
Hyunwoo J. Kim
Sung-Hoon Yoon
DiffM
127
253
0
01 Apr 2022
Generating High Fidelity Data from Low-density Regions using Diffusion
  Models
Generating High Fidelity Data from Low-density Regions using Diffusion Models
Vikash Sehwag
C. Hazirbas
Albert Gordo
Firat Ozgenel
Cristian Canton Ferrer
DiffM
95
71
0
31 Mar 2022
Bunched LPCNet2: Efficient Neural Vocoders Covering Devices from Cloud
  to Edge
Bunched LPCNet2: Efficient Neural Vocoders Covering Devices from Cloud to Edge
Sangjun Park
Kihyun Choo
Joohyung Lee
A. Porov
Konstantin Osipov
June Sig Sung
68
6
0
27 Mar 2022
Efficient-VDVAE: Less is more
Efficient-VDVAE: Less is more
Louay Hazami
Rayhane Mama
Ragavan Thurairatnam
BDL
95
28
0
25 Mar 2022
A Unified Contrastive Energy-based Model for Understanding the
  Generative Ability of Adversarial Training
A Unified Contrastive Energy-based Model for Understanding the Generative Ability of Adversarial Training
Yifei Wang
Yisen Wang
Jiansheng Yang
Zhouchen Lin
AAML
74
15
0
25 Mar 2022
Unified Multivariate Gaussian Mixture for Efficient Neural Image
  Compression
Unified Multivariate Gaussian Mixture for Efficient Neural Image Compression
Xiaosu Zhu
Jingkuan Song
Lianli Gao
Fengcai Zheng
Hengtao Shen
55
64
0
21 Mar 2022
Look Outside the Room: Synthesizing A Consistent Long-Term 3D Scene
  Video from A Single Image
Look Outside the Room: Synthesizing A Consistent Long-Term 3D Scene Video from A Single Image
Xuanchi Ren
Xiaolong Wang
VGen
103
58
0
17 Mar 2022
Semi-Discrete Normalizing Flows through Differentiable Tessellation
Semi-Discrete Normalizing Flows through Differentiable Tessellation
Ricky T. Q. Chen
Brandon Amos
Maximilian Nickel
67
10
0
14 Mar 2022
Previous
12345678
Next