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Generating Diverse High-Fidelity Images with VQ-VAE-2

Generating Diverse High-Fidelity Images with VQ-VAE-2

2 June 2019
Ali Razavi
Aaron van den Oord
Oriol Vinyals
    DRLBDL
ArXiv (abs)PDFHTML

Papers citing "Generating Diverse High-Fidelity Images with VQ-VAE-2"

50 / 1,128 papers shown
Title
Adversarial Example Does Good: Preventing Painting Imitation from
  Diffusion Models via Adversarial Examples
Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples
Chumeng Liang
Xiaoyu Wu
Yang Hua
Jiaru Zhang
Yiming Xue
Tao Song
Zhengui Xue
Ruhui Ma
Haibing Guan
DiffMWIGM
64
132
0
09 Feb 2023
Machine Learning for Synthetic Data Generation: A Review
Machine Learning for Synthetic Data Generation: A Review
Ying-Cheng Lu
Minjie Shen
Huazheng Wang
Xiao Wang
Capucine Van Rechem
Tianfan Fu
Wenqi Wei
SyDa
235
150
0
08 Feb 2023
Effective Data Augmentation With Diffusion Models
Effective Data Augmentation With Diffusion Models
Brandon Trabucco
Kyle Doherty
Max Gurinas
Ruslan Salakhutdinov
DiffMVLM
159
258
0
07 Feb 2023
Latent Space Bayesian Optimization with Latent Data Augmentation for
  Enhanced Exploration
Latent Space Bayesian Optimization with Latent Data Augmentation for Enhanced Exploration
O. Boyar
Ichiro Takeuchi
BDL
93
3
0
05 Feb 2023
Using Intermediate Forward Iterates for Intermediate Generator
  Optimization
Using Intermediate Forward Iterates for Intermediate Generator Optimization
Harshit Mishra
Jurijs Nazarovs
Manmohan Dogra
Sathya Ravi
DiffM
73
0
0
05 Feb 2023
A Theoretical Justification for Image Inpainting using Denoising
  Diffusion Probabilistic Models
A Theoretical Justification for Image Inpainting using Denoising Diffusion Probabilistic Models
Litu Rout
Advait Parulekar
Constantine Caramanis
Sanjay Shakkottai
DiffM
92
58
0
02 Feb 2023
Disentanglement of Latent Representations via Causal Interventions
Disentanglement of Latent Representations via Causal Interventions
Gaël Gendron
Michael Witbrock
Gillian Dobbie
OODCMLCoGe
159
2
0
02 Feb 2023
Stable Attribute Group Editing for Reliable Few-shot Image Generation
Stable Attribute Group Editing for Reliable Few-shot Image Generation
Guanqi Ding
Xinzhe Han
Shuhui Wang
Xin Jin
Dandan Tu
Qingming Huang
92
9
0
01 Feb 2023
InstructTTS: Modelling Expressive TTS in Discrete Latent Space with
  Natural Language Style Prompt
InstructTTS: Modelling Expressive TTS in Discrete Latent Space with Natural Language Style Prompt
Dongchao Yang
Songxiang Liu
Rongjie Huang
Chao Weng
Helen Meng
DiffMVLM
91
102
0
31 Jan 2023
Skill Decision Transformer
Skill Decision Transformer
Shyam Sudhakaran
S. Risi
OffRL
91
6
0
31 Jan 2023
Deep networks for system identification: a Survey
Deep networks for system identification: a Survey
G. Pillonetto
Aleksandr Aravkin
Daniel Gedon
L. Ljung
Antônio H. Ribeiro
Thomas B. Schon
OOD
113
45
0
30 Jan 2023
Generating Novel, Designable, and Diverse Protein Structures by
  Equivariantly Diffusing Oriented Residue Clouds
Generating Novel, Designable, and Diverse Protein Structures by Equivariantly Diffusing Oriented Residue Clouds
Yeqing Lin
Mohammed AlQuraishi
DiffMAI4CE
77
78
0
29 Jan 2023
Improving Statistical Fidelity for Neural Image Compression with
  Implicit Local Likelihood Models
Improving Statistical Fidelity for Neural Image Compression with Implicit Local Likelihood Models
Matthew Muckley
Alaaeldin El-Nouby
Karen Ullrich
Hervé Jégou
Jakob Verbeek
132
55
0
26 Jan 2023
Regeneration Learning: A Learning Paradigm for Data Generation
Regeneration Learning: A Learning Paradigm for Data Generation
Xu Tan
Tao Qin
Jiang Bian
Tie-Yan Liu
Yoshua Bengio
GAN
66
15
0
21 Jan 2023
SwiftAvatar: Efficient Auto-Creation of Parameterized Stylized Character
  on Arbitrary Avatar Engines
SwiftAvatar: Efficient Auto-Creation of Parameterized Stylized Character on Arbitrary Avatar Engines
Shizun Wang
Weihong Zeng
Xu Wang
Han Yang
Li Chen
Yi Yuan
Yunzhao Zeng
Min Zheng
Chuang Zhang
Ming Wu
87
8
0
19 Jan 2023
Masked Autoencoding Does Not Help Natural Language Supervision at Scale
Masked Autoencoding Does Not Help Natural Language Supervision at Scale
Floris Weers
Vaishaal Shankar
Angelos Katharopoulos
Yinfei Yang
Tom Gunter
CLIP
70
5
0
19 Jan 2023
Masked Vector Quantization
David D. Nguyen
David Leibowitz
Surya Nepal
S. Kanhere
MQ
61
0
0
16 Jan 2023
T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete
  Representations
T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations
Jianrong Zhang
Yangsong Zhang
Xiaodong Cun
Shaoli Huang
Yong Zhang
Hongwei Zhao
Hongtao Lu
Xiaodong Shen
151
358
0
15 Jan 2023
Latent Autoregressive Source Separation
Latent Autoregressive Source Separation
Emilian Postolache
Giorgio Mariani
Michele Mancusi
Andrea Santilli
Luca Cosmo
Emanuele Rodolà
BDLDRL
63
10
0
09 Jan 2023
CodeTalker: Speech-Driven 3D Facial Animation with Discrete Motion Prior
CodeTalker: Speech-Driven 3D Facial Animation with Discrete Motion Prior
Jinbo Xing
Menghan Xia
Yuechen Zhang
Xiaodong Cun
Jue Wang
T. Wong
133
149
0
06 Jan 2023
Sequentially Controlled Text Generation
Sequentially Controlled Text Generation
Alexander Spangher
Xinyu Hua
Yao Ming
Nanyun Peng
81
7
0
05 Jan 2023
Self-Supervised Video Forensics by Audio-Visual Anomaly Detection
Self-Supervised Video Forensics by Audio-Visual Anomaly Detection
Chao Feng
Ziyang Chen
Andrew Owens
95
78
0
04 Jan 2023
eVAE: Evolutionary Variational Autoencoder
eVAE: Evolutionary Variational Autoencoder
Zhangkai Wu
LongBing Cao
Lei Qi
BDLDRL
108
11
0
01 Jan 2023
TeViS:Translating Text Synopses to Video Storyboards
TeViS:Translating Text Synopses to Video Storyboards
Xu Gu
Yuchong Sun
Feiyue Ni
Shizhe Chen
Xihua Wang
Ruihua Song
Yangqiu Song
Xiang Cao
DiffM
120
4
0
31 Dec 2022
Unsupervised Representation Learning from Pre-trained Diffusion
  Probabilistic Models
Unsupervised Representation Learning from Pre-trained Diffusion Probabilistic Models
Zijian Zhang
Zhou Zhao
Zhijie Lin
DiffM
157
56
0
26 Dec 2022
Neural Shape Compiler: A Unified Framework for Transforming between
  Text, Point Cloud, and Program
Neural Shape Compiler: A Unified Framework for Transforming between Text, Point Cloud, and Program
Tiange Luo
Honglak Lee
Justin Johnson
96
5
0
25 Dec 2022
QuantArt: Quantizing Image Style Transfer Towards High Visual Fidelity
QuantArt: Quantizing Image Style Transfer Towards High Visual Fidelity
Siyu Huang
Jie An
D. Wei
Jiebo Luo
Hanspeter Pfister
DiffM
87
29
0
20 Dec 2022
Uncovering the Disentanglement Capability in Text-to-Image Diffusion
  Models
Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models
Qiucheng Wu
Yujian Liu
Handong Zhao
Ajinkya Kale
T. Bui
Tong Yu
Zhe Lin
Yang Zhang
Shiyu Chang
DiffMCoGe
105
104
0
16 Dec 2022
The Infinite Index: Information Retrieval on Generative Text-To-Image
  Models
The Infinite Index: Information Retrieval on Generative Text-To-Image Models
Niklas Deckers
Maik Fröbe
Johannes Kiesel
G. Pandolfo
Christopher Schröder
Benno Stein
Martin Potthast
DiffM
103
16
0
14 Dec 2022
Image Compression with Product Quantized Masked Image Modeling
Image Compression with Product Quantized Masked Image Modeling
Alaaeldin El-Nouby
Matthew Muckley
Karen Ullrich
Ivan Laptev
Jakob Verbeek
Hervé Jégou
MQ
82
31
0
14 Dec 2022
Multi-Concept Customization of Text-to-Image Diffusion
Multi-Concept Customization of Text-to-Image Diffusion
Nupur Kumari
Bin Zhang
Richard Y. Zhang
Eli Shechtman
Jun-Yan Zhu
278
882
0
08 Dec 2022
Rethinking the Objectives of Vector-Quantized Tokenizers for Image
  Synthesis
Rethinking the Objectives of Vector-Quantized Tokenizers for Image Synthesis
Yuchao Gu
Xintao Wang
Yixiao Ge
Ying Shan
Xiaohu Qie
Mike Zheng Shou
DiffM
103
22
0
06 Dec 2022
M-VADER: A Model for Diffusion with Multimodal Context
M-VADER: A Model for Diffusion with Multimodal Context
Samuel Weinbach
Marco Bellagente
C. Eichenberg
Andrew M. Dai
R. Baldock
Souradeep Nanda
Bjorn Deiseroth
Koen Oostermeijer
H. Teufel
Andres Felipe Cruz Salinas
DiffM
205
11
0
06 Dec 2022
3D Neural Field Generation using Triplane Diffusion
3D Neural Field Generation using Triplane Diffusion
J. Shue
E. R. Chan
Ryan Po
Zachary Ankner
Jiajun Wu
Gordon Wetzstein
DiffM
146
242
0
30 Nov 2022
Compressing Volumetric Radiance Fields to 1 MB
Compressing Volumetric Radiance Fields to 1 MB
Lingzhi Li
Zhen Shen
Zhongshu Wang
Li Shen
Liefeng Bo
79
67
0
29 Nov 2022
Accelerating Antimicrobial Peptide Discovery with Latent Structure
Accelerating Antimicrobial Peptide Discovery with Latent Structure
Danqing Wang
Zeyu Wen
Fei Ye
Lei Li
Hao Zhou
MedIm
46
4
0
28 Nov 2022
Traditional Classification Neural Networks are Good Generators: They are
  Competitive with DDPMs and GANs
Traditional Classification Neural Networks are Good Generators: They are Competitive with DDPMs and GANs
Guangrun Wang
Philip Torr
83
9
0
27 Nov 2022
Homology-constrained vector quantization entropy regularizer
Homology-constrained vector quantization entropy regularizer
Ivan O. Volkov
43
2
0
25 Nov 2022
SpaText: Spatio-Textual Representation for Controllable Image Generation
SpaText: Spatio-Textual Representation for Controllable Image Generation
Omri Avrahami
Thomas Hayes
Oran Gafni
Sonal Gupta
Yaniv Taigman
Devi Parikh
Dani Lischinski
Ohad Fried
Xiaoyue Yin
DiffM
135
210
0
25 Nov 2022
Composite Score for Anomaly Detection in Imbalanced Real-World
  Industrial Dataset
Composite Score for Anomaly Detection in Imbalanced Real-World Industrial Dataset
Arnaud Bougaham
M. Adoui
Isabelle Linden
Benoit Frénay
28
5
0
25 Nov 2022
Choreographer: Learning and Adapting Skills in Imagination
Choreographer: Learning and Adapting Skills in Imagination
Pietro Mazzaglia
Tim Verbelen
Bart Dhoedt
Alexandre Lacoste
Sai Rajeswar
131
25
0
23 Nov 2022
Make-A-Story: Visual Memory Conditioned Consistent Story Generation
Make-A-Story: Visual Memory Conditioned Consistent Story Generation
Tanzila Rahman
Hsin-Ying Lee
Jian Ren
Sergey Tulyakov
Shweta Mahajan
Leonid Sigal
DiffM
144
71
0
23 Nov 2022
$β$-Multivariational Autoencoder for Entangled Representation
  Learning in Video Frames
βββ-Multivariational Autoencoder for Entangled Representation Learning in Video Frames
F. Nouri
R. Bergevin
63
0
0
22 Nov 2022
Exploring Discrete Diffusion Models for Image Captioning
Exploring Discrete Diffusion Models for Image Captioning
Zixin Zhu
Yixuan Wei
Jianfeng Wang
Zhe Gan
Zheng Zhang
Le Wang
G. Hua
Lijuan Wang
Zicheng Liu
Han Hu
DiffMVLM
105
24
0
21 Nov 2022
Normalizing Flow with Variational Latent Representation
Normalizing Flow with Variational Latent Representation
Hanze Dong
Shizhe Diao
Weizhong Zhang
Tong Zhang
BDLOODDRL
78
0
0
21 Nov 2022
Beyond the Field-of-View: Enhancing Scene Visibility and Perception with
  Clip-Recurrent Transformer
Beyond the Field-of-View: Enhancing Scene Visibility and Perception with Clip-Recurrent Transformer
Haowen Shi
Zhijie Xu
Kailun Yang
Xiaoyue Yin
Ze Wang
Kaiwei Wang
ViT
102
5
0
21 Nov 2022
Diffusion-Based Scene Graph to Image Generation with Masked Contrastive
  Pre-Training
Diffusion-Based Scene Graph to Image Generation with Masked Contrastive Pre-Training
Ling Yang
Zhilin Huang
Yang Song
Shenda Hong
Ge Li
Wentao Zhang
Tengjiao Wang
Guohao Li
Ming-Hsuan Yang
104
57
0
21 Nov 2022
MagicVideo: Efficient Video Generation With Latent Diffusion Models
MagicVideo: Efficient Video Generation With Latent Diffusion Models
Daquan Zhou
Weimin Wang
Hanshu Yan
Weiwei Lv
Yizhe Zhu
Jiashi Feng
DiffMVGen
133
392
0
20 Nov 2022
MAGE: MAsked Generative Encoder to Unify Representation Learning and
  Image Synthesis
MAGE: MAsked Generative Encoder to Unify Representation Learning and Image Synthesis
Tianhong Li
Huiwen Chang
Shlok Kumar Mishra
Han Zhang
Dina Katabi
Dilip Krishnan
108
170
0
16 Nov 2022
Versatile Diffusion: Text, Images and Variations All in One Diffusion
  Model
Versatile Diffusion: Text, Images and Variations All in One Diffusion Model
Xingqian Xu
Zhangyang Wang
Eric Zhang
Kai Wang
Humphrey Shi
DiffM
207
198
0
15 Nov 2022
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