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

50 / 1,107 papers shown
Title
On Incorporating Inductive Biases into VAEs
On Incorporating Inductive Biases into VAEs
Ning Miao
Emile Mathieu
N. Siddharth
Yee Whye Teh
Tom Rainforth
CML
DRL
32
10
0
25 Jun 2021
NP-DRAW: A Non-Parametric Structured Latent Variable Model for Image
  Generation
NP-DRAW: A Non-Parametric Structured Latent Variable Model for Image Generation
Xiaohui Zeng
R. Urtasun
R. Zemel
Sanja Fidler
Renjie Liao
DiffM
13
2
0
25 Jun 2021
Handling Data Heterogeneity with Generative Replay in Collaborative
  Learning for Medical Imaging
Handling Data Heterogeneity with Generative Replay in Collaborative Learning for Medical Imaging
Liangqiong Qu
N. Balachandar
Miao Zhang
D. Rubin
MedIm
22
19
0
24 Jun 2021
Symmetric Wasserstein Autoencoders
Symmetric Wasserstein Autoencoders
S. Sun
Hong Guo
DiffM
GAN
26
0
0
24 Jun 2021
VIMPAC: Video Pre-Training via Masked Token Prediction and Contrastive
  Learning
VIMPAC: Video Pre-Training via Masked Token Prediction and Contrastive Learning
Hao Tan
Jie Lei
Thomas Wolf
Joey Tianyi Zhou
39
65
0
21 Jun 2021
Deep Generative Learning via Schrödinger Bridge
Deep Generative Learning via Schrödinger Bridge
Gefei Wang
Yuling Jiao
Qiang Xu
Yang Wang
Can Yang
DiffM
OT
23
93
0
19 Jun 2021
Cascading Modular Network (CAM-Net) for Multimodal Image Synthesis
Cascading Modular Network (CAM-Net) for Multimodal Image Synthesis
Shichong Peng
Alireza Moazeni
Ke Li
GAN
24
0
0
16 Jun 2021
Discrete Auto-regressive Variational Attention Models for Text Modeling
Discrete Auto-regressive Variational Attention Models for Text Modeling
Xianghong Fang
Haoli Bai
Jian Li
Zenglin Xu
Michael Lyu
Irwin King
40
3
0
16 Jun 2021
Multi-Resolution Continuous Normalizing Flows
Multi-Resolution Continuous Normalizing Flows
Vikram S. Voleti
Chris Finlay
Adam M. Oberman
Christopher Pal
35
4
0
15 Jun 2021
BEiT: BERT Pre-Training of Image Transformers
BEiT: BERT Pre-Training of Image Transformers
Hangbo Bao
Li Dong
Songhao Piao
Furu Wei
ViT
68
2,751
0
15 Jun 2021
Divergence Frontiers for Generative Models: Sample Complexity,
  Quantization Effects, and Frontier Integrals
Divergence Frontiers for Generative Models: Sample Complexity, Quantization Effects, and Frontier Integrals
Lang Liu
Krishna Pillutla
Sean Welleck
Sewoong Oh
Yejin Choi
Zaïd Harchaoui
MQ
31
14
0
15 Jun 2021
Improved Transformer for High-Resolution GANs
Improved Transformer for High-Resolution GANs
Long Zhao
Zizhao Zhang
Ting Chen
Dimitris N. Metaxas
Han Zhang
ViT
39
95
0
14 Jun 2021
Non Gaussian Denoising Diffusion Models
Non Gaussian Denoising Diffusion Models
Eliya Nachmani
Robin San Roman
Lior Wolf
VLM
DiffM
35
48
0
14 Jun 2021
CRASH: Raw Audio Score-based Generative Modeling for Controllable
  High-resolution Drum Sound Synthesis
CRASH: Raw Audio Score-based Generative Modeling for Controllable High-resolution Drum Sound Synthesis
Simon Rouard
Gaëtan Hadjeres
DiffM
27
42
0
14 Jun 2021
Inverting Adversarially Robust Networks for Image Synthesis
Inverting Adversarially Robust Networks for Image Synthesis
Renan A. Rojas-Gomez
Raymond A. Yeh
Minh Do
A. Nguyen
16
4
0
13 Jun 2021
D2C: Diffusion-Denoising Models for Few-shot Conditional Generation
D2C: Diffusion-Denoising Models for Few-shot Conditional Generation
Abhishek Sinha
Jiaming Song
Chenlin Meng
Stefano Ermon
VLM
DiffM
30
118
0
12 Jun 2021
PriorGrad: Improving Conditional Denoising Diffusion Models with
  Data-Dependent Adaptive Prior
PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior
Sang-gil Lee
Heeseung Kim
Chaehun Shin
Xu Tan
Chang-Shu Liu
Qi Meng
Tao Qin
Wei Chen
Sung-Hoon Yoon
Tie-Yan Liu
DiffM
29
82
0
11 Jun 2021
Score-based Generative Modeling in Latent Space
Score-based Generative Modeling in Latent Space
Arash Vahdat
Karsten Kreis
Jan Kautz
DiffM
21
659
0
10 Jun 2021
Vector Quantized Models for Planning
Vector Quantized Models for Planning
Sherjil Ozair
Yazhe Li
Ali Razavi
Ioannis Antonoglou
Aaron van den Oord
Oriol Vinyals
OffRL
32
49
0
08 Jun 2021
Hierarchical Lovász Embeddings for Proposal-free Panoptic Segmentation
Hierarchical Lovász Embeddings for Proposal-free Panoptic Segmentation
Tommi Kerola
Jie Li
Atsushi Kanehira
Yasunori Kudo
Alexis Vallet
Adrien Gaidon
40
8
0
08 Jun 2021
NWT: Towards natural audio-to-video generation with representation
  learning
NWT: Towards natural audio-to-video generation with representation learning
Rayhane Mama
Marc S. Tyndel
Hashiam Kadhim
Cole Clifford
Ragavan Thurairatnam
VGen
34
12
0
08 Jun 2021
Interpretable agent communication from scratch (with a generic visual
  processor emerging on the side)
Interpretable agent communication from scratch (with a generic visual processor emerging on the side)
Roberto Dessì
Eugene Kharitonov
Marco Baroni
35
27
0
08 Jun 2021
On Training Sample Memorization: Lessons from Benchmarking Generative
  Modeling with a Large-scale Competition
On Training Sample Memorization: Lessons from Benchmarking Generative Modeling with a Large-scale Competition
C. Bai
Hsuan-Tien Lin
Colin Raffel
Wendy Kan
18
34
0
06 Jun 2021
Neural Distributed Source Coding
Neural Distributed Source Coding
Jay Whang
Alliot Nagle
Anish Acharya
Hyeji Kim
A. Dimakis
43
20
0
05 Jun 2021
On Perceptual Lossy Compression: The Cost of Perceptual Reconstruction
  and An Optimal Training Framework
On Perceptual Lossy Compression: The Cost of Perceptual Reconstruction and An Optimal Training Framework
Zeyu Yan
Fei Wen
R. Ying
Chao Ma
Peilin Liu
23
36
0
05 Jun 2021
DISSECT: Disentangled Simultaneous Explanations via Concept Traversals
DISSECT: Disentangled Simultaneous Explanations via Concept Traversals
Asma Ghandeharioun
Been Kim
Chun-Liang Li
Brendan Jou
B. Eoff
Rosalind W. Picard
AAML
35
53
0
31 May 2021
Cascaded Diffusion Models for High Fidelity Image Generation
Cascaded Diffusion Models for High Fidelity Image Generation
Jonathan Ho
Chitwan Saharia
William Chan
David J. Fleet
Mohammad Norouzi
Tim Salimans
90
1,183
0
30 May 2021
M6-UFC: Unifying Multi-Modal Controls for Conditional Image Synthesis
  via Non-Autoregressive Generative Transformers
M6-UFC: Unifying Multi-Modal Controls for Conditional Image Synthesis via Non-Autoregressive Generative Transformers
Zhu Zhang
Jianxin Ma
Chang Zhou
Rui Men
Zhikang Li
Ming Ding
Jie Tang
Jingren Zhou
Hongxia Yang
27
46
0
29 May 2021
CogView: Mastering Text-to-Image Generation via Transformers
CogView: Mastering Text-to-Image Generation via Transformers
Ming Ding
Zhuoyi Yang
Wenyi Hong
Wendi Zheng
Chang Zhou
...
Junyang Lin
Xu Zou
Zhou Shao
Hongxia Yang
Jie Tang
ViT
VLM
54
766
0
26 May 2021
Parallel and Flexible Sampling from Autoregressive Models via Langevin
  Dynamics
Parallel and Flexible Sampling from Autoregressive Models via Langevin Dynamics
V. Jayaram
John Thickstun
DiffM
28
23
0
17 May 2021
Priors in Bayesian Deep Learning: A Review
Priors in Bayesian Deep Learning: A Review
Vincent Fortuin
UQCV
BDL
38
124
0
14 May 2021
High-Resolution Complex Scene Synthesis with Transformers
High-Resolution Complex Scene Synthesis with Transformers
Manuel Jahn
Robin Rombach
Bjorn Ommer
ViT
23
37
0
13 May 2021
Diffusion Models Beat GANs on Image Synthesis
Diffusion Models Beat GANs on Image Synthesis
Prafulla Dhariwal
Alex Nichol
85
7,480
0
11 May 2021
Computer-Aided Design as Language
Computer-Aided Design as Language
Yaroslav Ganin
Sergey Bartunov
Yujia Li
E. Keller
Stefano Saliceti
3DV
104
90
0
06 May 2021
OCTOPUS: Overcoming Performance andPrivatization Bottlenecks in
  Distributed Learning
OCTOPUS: Overcoming Performance andPrivatization Bottlenecks in Distributed Learning
Shuo Wang
Surya Nepal
Kristen Moore
M. Grobler
Carsten Rudolph
A. Abuadbba
FedML
45
8
0
03 May 2021
Data Augmentation in High Dimensional Low Sample Size Setting Using a
  Geometry-Based Variational Autoencoder
Data Augmentation in High Dimensional Low Sample Size Setting Using a Geometry-Based Variational Autoencoder
Clément Chadebec
Elina Thibeau-Sutre
Ninon Burgos
S. Allassonnière
48
63
0
30 Apr 2021
GODIVA: Generating Open-DomaIn Videos from nAtural Descriptions
GODIVA: Generating Open-DomaIn Videos from nAtural Descriptions
Chenfei Wu
Lun Huang
Qianxi Zhang
Binyang Li
Lei Ji
Fan Yang
Guillermo Sapiro
Nan Duan
DiffM
VGen
32
233
0
30 Apr 2021
PANDA : Perceptually Aware Neural Detection of Anomalies
PANDA : Perceptually Aware Neural Detection of Anomalies
Jack W. Barker
T. Breckon
27
5
0
28 Apr 2021
Adaptive Appearance Rendering
Adaptive Appearance Rendering
Mengyao Zhai
Ruizhi Deng
Jiacheng Chen
Lei Chen
Zhiwei Deng
Greg Mori
25
1
0
24 Apr 2021
On Aliased Resizing and Surprising Subtleties in GAN Evaluation
On Aliased Resizing and Surprising Subtleties in GAN Evaluation
Gaurav Parmar
Richard Y. Zhang
Jun-Yan Zhu
EGVM
25
74
0
22 Apr 2021
IB-DRR: Incremental Learning with Information-Back Discrete
  Representation Replay
IB-DRR: Incremental Learning with Information-Back Discrete Representation Replay
Jian Jiang
Edoardo Cetin
Oya Celiktutan
27
9
0
21 Apr 2021
VideoGPT: Video Generation using VQ-VAE and Transformers
VideoGPT: Video Generation using VQ-VAE and Transformers
Wilson Yan
Yunzhi Zhang
Pieter Abbeel
A. Srinivas
ViT
VGen
245
487
0
20 Apr 2021
Geometry-Free View Synthesis: Transformers and no 3D Priors
Geometry-Free View Synthesis: Transformers and no 3D Priors
Robin Rombach
Patrick Esser
Bjorn Ommer
ViT
33
93
0
15 Apr 2021
Spectrogram Inpainting for Interactive Generation of Instrument Sounds
Spectrogram Inpainting for Interactive Generation of Instrument Sounds
Théis Bazin
Gaëtan Hadjeres
P. Esling
M. Malt
39
11
0
15 Apr 2021
Diamond in the rough: Improving image realism by traversing the GAN
  latent space
Diamond in the rough: Improving image realism by traversing the GAN latent space
Jeffrey Wen
Fabian Benitez-Quiroz
Qianli Feng
Aleix M. Martinez
31
3
0
12 Apr 2021
Boltzmann Tuning of Generative Models
Boltzmann Tuning of Generative Models
Victor Berger
Michele Sebag
37
0
0
12 Apr 2021
InfinityGAN: Towards Infinite-Pixel Image Synthesis
InfinityGAN: Towards Infinite-Pixel Image Synthesis
C. Lin
Hsin-Ying Lee
Yen-Chi Cheng
Sergey Tulyakov
Ming-Hsuan Yang
36
70
0
08 Apr 2021
Creativity and Machine Learning: A Survey
Creativity and Machine Learning: A Survey
Giorgio Franceschelli
Mirco Musolesi
VLM
AI4CE
34
40
0
06 Apr 2021
Noise Estimation for Generative Diffusion Models
Noise Estimation for Generative Diffusion Models
Robin San-Roman
Eliya Nachmani
Lior Wolf
DiffM
41
105
0
06 Apr 2021
Training Deep Normalizing Flow Models in Highly Incomplete Data
  Scenarios with Prior Regularization
Training Deep Normalizing Flow Models in Highly Incomplete Data Scenarios with Prior Regularization
Edgar A. Bernal
31
1
0
03 Apr 2021
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