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1712.09763
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PixelSNAIL: An Improved Autoregressive Generative Model
28 December 2017
Xi Chen
Nikhil Mishra
Mostafa Rohaninejad
Pieter Abbeel
DRL
DiffM
BDL
GAN
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Papers citing
"PixelSNAIL: An Improved Autoregressive Generative Model"
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Title
MedUnifier: Unifying Vision-and-Language Pre-training on Medical Data with Vision Generation Task using Discrete Visual Representations
Ziyang Zhang
Yang Yu
Yucheng Chen
Xulei Yang
S. Yeo
MedIm
56
1
0
02 Mar 2025
Isolated Diffusion: Optimizing Multi-Concept Text-to-Image Generation Training-Freely with Isolated Diffusion Guidance
Jin Zhu
Huimin Ma
Jiansheng Chen
Jian Yuan
79
4
0
20 Jan 2025
Simplified and Generalized Masked Diffusion for Discrete Data
Jiaxin Shi
Kehang Han
Zehao Wang
Arnaud Doucet
Michalis K. Titsias
DiffM
85
63
0
17 Jan 2025
Circuit Complexity Bounds for Visual Autoregressive Model
Yekun Ke
Xiaoyu Li
Yingyu Liang
Zhenmei Shi
Zhao Song
45
5
0
08 Jan 2025
Meissonic: Revitalizing Masked Generative Transformers for Efficient High-Resolution Text-to-Image Synthesis
Jinbin Bai
Tian-Chun Ye
Wei Chow
Enxin Song
Qing-Guo Chen
Hefei Ling
Zhen Dong
Lei Zhu
66
14
0
10 Oct 2024
Accelerating Auto-regressive Text-to-Image Generation with Training-free Speculative Jacobi Decoding
Yao Teng
Han Shi
Xian Liu
Xuefei Ning
Guohao Dai
Yu Wang
Zhenguo Li
Xihui Liu
58
10
0
02 Oct 2024
Denoising with a Joint-Embedding Predictive Architecture
Dengsheng Chen
Jie Hu
Xiaoming Wei
Enhua Wu
DiffM
52
2
0
02 Oct 2024
Autoregressive Image Generation without Vector Quantization
Tianhong Li
Yonglong Tian
He Li
Mingyang Deng
Kaiming He
DiffM
62
183
0
17 Jun 2024
Glauber Generative Model: Discrete Diffusion Models via Binary Classification
Harshit Varma
Dheeraj M. Nagaraj
Karthikeyan Shanmugam
VLM
67
2
0
27 May 2024
Image as First-Order Norm+Linear Autoregression: Unveiling Mathematical Invariance
Yinpeng Chen
Xiyang Dai
Dongdong Chen
Mengchen Liu
Lu Yuan
Zicheng Liu
Youzuo Lin
26
2
0
25 May 2023
FIT: Far-reaching Interleaved Transformers
Ting-Li Chen
Lala Li
29
12
0
22 May 2023
Few-shot 3D Shape Generation
Jin Zhu
Huimin Ma
Jiansheng Chen
Jian Yuan
DiffM
28
1
0
19 May 2023
Lformer: Text-to-Image Generation with L-shape Block Parallel Decoding
Jiacheng Li
Longhui Wei
Zongyuan Zhan
Xinfu He
Siliang Tang
Qi Tian
Yueting Zhuang
24
4
0
07 Mar 2023
LayoutDETR: Detection Transformer Is a Good Multimodal Layout Designer
Ning Yu
Chia-Chih Chen
Zeyuan Chen
Rui Meng
Ganglu Wu
P. Josel
Juan Carlos Niebles
Caiming Xiong
Ran Xu
ViT
DiffM
24
7
0
19 Dec 2022
Few-shot Image Generation with Diffusion Models
Jin Zhu
Huimin Ma
Jiansheng Chen
Jian Yuan
DiffM
40
20
0
07 Nov 2022
Full-band General Audio Synthesis with Score-based Diffusion
Santiago Pascual
Gautam Bhattacharya
Chunghsin Yeh
Jordi Pons
Joan Serrà
DiffM
27
33
0
26 Oct 2022
PoseGPT: Quantization-based 3D Human Motion Generation and Forecasting
Thomas Lucas
Fabien Baradel
Philippe Weinzaepfel
Grégory Rogez
22
69
0
19 Oct 2022
Comparing the latent space of generative models
Andrea Asperti
Valerio Tonelli
DRL
26
12
0
14 Jul 2022
Text2Human: Text-Driven Controllable Human Image Generation
Yuming Jiang
Shuai Yang
Haonan Qiu
Wayne Wu
Chen Change Loy
Ziwei Liu
DiffM
116
46
0
31 May 2022
Few-Shot Diffusion Models
Giorgio Giannone
Didrik Nielsen
Ole Winther
DiffM
183
49
0
30 May 2022
A Continuous Time Framework for Discrete Denoising Models
Andrew Campbell
Joe Benton
Valentin De Bortoli
Tom Rainforth
George Deligiannidis
Arnaud Doucet
DiffM
194
134
0
30 May 2022
Video Diffusion Models
Jonathan Ho
Tim Salimans
Alexey A. Gritsenko
William Chan
Mohammad Norouzi
David J. Fleet
DiffM
VGen
47
1,514
0
07 Apr 2022
Image Super-Resolution With Deep Variational Autoencoders
Darius Chira
Ilian Haralampiev
Ole Winther
Andrea Dittadi
Valentin Liévin
DRL
35
32
0
17 Mar 2022
Diffusion bridges vector quantized Variational AutoEncoders
Max H. Cohen
Guillaume Quispe
Sylvain Le Corff
Charles Ollion
Eric Moulines
DiffM
24
14
0
10 Feb 2022
ShapeFormer: Transformer-based Shape Completion via Sparse Representation
Xingguang Yan
Liqiang Lin
Niloy J. Mitra
Dani Lischinski
Daniel Cohen-Or
Hui Huang
ViT
68
114
0
25 Jan 2022
Global Context with Discrete Diffusion in Vector Quantised Modelling for Image Generation
Minghui Hu
Yujie Wang
Tat-Jen Cham
Jianfei Yang
P.N.Suganthan
DiffM
13
40
0
03 Dec 2021
Resampling Base Distributions of Normalizing Flows
Vincent Stimper
Bernhard Schölkopf
José Miguel Hernández-Lobato
BDL
30
32
0
29 Oct 2021
PixelPyramids: Exact Inference Models from Lossless Image Pyramids
Shweta Mahajan
Stefan Roth
TPM
12
2
0
17 Oct 2021
Vector-quantized Image Modeling with Improved VQGAN
Jiahui Yu
Xin Li
Jing Yu Koh
Han Zhang
Ruoming Pang
James Qin
Alexander Ku
Yuanzhong Xu
Jason Baldridge
Yonghui Wu
ViT
VLM
DRL
49
483
0
09 Oct 2021
Intuitive and Efficient Roof Modeling for Reconstruction and Synthesis
Jing Ren
Biao Zhang
Bojian Wu
Jianqiang Huang
Lubin Fan
M. Ovsjanikov
Peter Wonka
19
19
0
16 Sep 2021
GANmapper: geographical data translation
Abraham Noah Wu
Filip Biljecki
GAN
18
41
0
07 Aug 2021
Combiner: Full Attention Transformer with Sparse Computation Cost
Hongyu Ren
H. Dai
Zihang Dai
Mengjiao Yang
J. Leskovec
Dale Schuurmans
Bo Dai
81
77
0
12 Jul 2021
Structured Denoising Diffusion Models in Discrete State-Spaces
Jacob Austin
Daniel D. Johnson
Jonathan Ho
Daniel Tarlow
Rianne van den Berg
DiffM
35
851
0
07 Jul 2021
Score-based Generative Modeling in Latent Space
Arash Vahdat
Karsten Kreis
Jan Kautz
DiffM
16
659
0
10 Jun 2021
Generating Diverse Structure for Image Inpainting With Hierarchical VQ-VAE
Jialun Peng
Dong Liu
Songcen Xu
Houqiang Li
DiffM
25
191
0
18 Mar 2021
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models
Sam Bond-Taylor
Adam Leach
Yang Long
Chris G. Willcocks
VLM
TPM
41
481
0
08 Mar 2021
Predicting Video with VQVAE
Jacob Walker
Ali Razavi
Aaron van den Oord
DRL
24
66
0
02 Mar 2021
Improved Denoising Diffusion Probabilistic Models
Alex Nichol
Prafulla Dhariwal
DiffM
60
3,526
0
18 Feb 2021
Maximum Likelihood Training of Score-Based Diffusion Models
Yang Song
Conor Durkan
Iain Murray
Stefano Ermon
DiffM
64
625
0
22 Jan 2021
Taming Transformers for High-Resolution Image Synthesis
Patrick Esser
Robin Rombach
Bjorn Ommer
ViT
64
2,819
0
17 Dec 2020
Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images
R. Child
BDL
VLM
56
337
0
20 Nov 2020
Testing for Typicality with Respect to an Ensemble of Learned Distributions
F. Laine
Claire Tomlin
11
0
0
11 Nov 2020
Further Analysis of Outlier Detection with Deep Generative Models
Ziyu Wang
Bin Dai
David Wipf
Jun Zhu
17
39
0
25 Oct 2020
Generative Adversarial Networks for Image and Video Synthesis: Algorithms and Applications
Xuan Li
Xun Huang
Jiahui Yu
Ting-Chun Wang
Arun Mallya
GAN
30
153
0
06 Aug 2020
Incorporating Reinforced Adversarial Learning in Autoregressive Image Generation
Kenan E. Ak
N. Xu
Zhe-nan Lin
Yilin Wang
19
12
0
20 Jul 2020
Autoregressive Unsupervised Image Segmentation
Yassine Ouali
C´eline Hudelot
Myriam Tami
SSL
35
86
0
16 Jul 2020
Locally Masked Convolution for Autoregressive Models
Ajay Jain
Pieter Abbeel
Deepak Pathak
DiffM
OffRL
39
31
0
22 Jun 2020
Denoising Diffusion Probabilistic Models
Jonathan Ho
Ajay Jain
Pieter Abbeel
DiffM
118
17,042
0
19 Jun 2020
Latent Video Transformer
Ruslan Rakhimov
Denis Volkhonskiy
Alexey Artemov
Denis Zorin
Evgeny Burnaev
VGen
33
118
0
18 Jun 2020
Unsupervised Pansharpening Based on Self-Attention Mechanism
Ying Qu
Razieh Kaviani Baghbaderani
Hairong Qi
C. Kwan
33
69
0
16 Jun 2020
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