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Generating Images with Sparse Representations

Generating Images with Sparse Representations

5 March 2021
C. Nash
Jacob Menick
Sander Dieleman
Peter W. Battaglia
ArXivPDFHTML

Papers citing "Generating Images with Sparse Representations"

49 / 149 papers shown
Title
Don't Play Favorites: Minority Guidance for Diffusion Models
Don't Play Favorites: Minority Guidance for Diffusion Models
Soo Bin Um
Suhyeon Lee
Jong Chul Ye
DiffM
25
21
0
29 Jan 2023
Input Perturbation Reduces Exposure Bias in Diffusion Models
Input Perturbation Reduces Exposure Bias in Diffusion Models
Mang Ning
E. Sangineto
Angelo Porrello
Simone Calderara
Rita Cucchiara
DiffM
21
64
0
27 Jan 2023
Fast Inference in Denoising Diffusion Models via MMD Finetuning
Fast Inference in Denoising Diffusion Models via MMD Finetuning
Emanuele Aiello
D. Valsesia
E. Magli
DiffM
22
4
0
19 Jan 2023
Scalable Diffusion Models with Transformers
Scalable Diffusion Models with Transformers
William S. Peebles
Saining Xie
GNN
40
2,008
0
19 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
32
20
0
06 Dec 2022
Refining Generative Process with Discriminator Guidance in Score-based
  Diffusion Models
Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models
Dongjun Kim
Yeongmin Kim
Se Jung Kwon
Wanmo Kang
Il-Chul Moon
DiffM
38
85
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 H. S. Torr
28
8
0
27 Nov 2022
WALDO: Future Video Synthesis using Object Layer Decomposition and
  Parametric Flow Prediction
WALDO: Future Video Synthesis using Object Layer Decomposition and Parametric Flow Prediction
G. L. Moing
Jean Ponce
Cordelia Schmid
19
6
0
25 Nov 2022
Diffusion-SDF: Conditional Generative Modeling of Signed Distance
  Functions
Diffusion-SDF: Conditional Generative Modeling of Signed Distance Functions
Gene Chou
Yuval Bahat
Felix Heide
DiffM
29
112
0
24 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
41
152
0
16 Nov 2022
Improving Sample Quality of Diffusion Models Using Self-Attention
  Guidance
Improving Sample Quality of Diffusion Models Using Self-Attention Guidance
Susung Hong
Gyuseong Lee
Wooseok Jang
Seung Wook Kim
DiffM
24
97
0
03 Oct 2022
A Morphology Focused Diffusion Probabilistic Model for Synthesis of
  Histopathology Images
A Morphology Focused Diffusion Probabilistic Model for Synthesis of Histopathology Images
Puria Azadi Moghadam
Sanne Van Dalen
K. C. Martin
J. Lennerz
Stephen S. F. Yip
H. Farahani
A. Bashashati
DiffM
MedIm
17
84
0
27 Sep 2022
All are Worth Words: A ViT Backbone for Diffusion Models
All are Worth Words: A ViT Backbone for Diffusion Models
Fan Bao
Shen Nie
Kaiwen Xue
Yue Cao
Chongxuan Li
Hang Su
Jun Zhu
VLM
26
315
0
25 Sep 2022
MoVQ: Modulating Quantized Vectors for High-Fidelity Image Generation
MoVQ: Modulating Quantized Vectors for High-Fidelity Image Generation
Chuanxia Zheng
L. Vuong
Jianfei Cai
Dinh Q. Phung
MQ
71
72
0
19 Sep 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
42
1
0
24 Aug 2022
DALLE-URBAN: Capturing the urban design expertise of large text to image
  transformers
DALLE-URBAN: Capturing the urban design expertise of large text to image transformers
Sachith Seneviratne
Damith A. Senanayake
Sanka Rasnayaka
Rajith Vidanaarachchi
Jason Thompson
ViT
14
17
0
03 Aug 2022
Improving Diffusion Model Efficiency Through Patching
Improving Diffusion Model Efficiency Through Patching
Troy Luhman
Eric Luhman
DiffM
9
18
0
09 Jul 2022
Entropy-driven Sampling and Training Scheme for Conditional Diffusion
  Generation
Entropy-driven Sampling and Training Scheme for Conditional Diffusion Generation
Sheng-liang Li
Guangcong Zheng
Haibo Wang
Taiping Yao
Yang Chen
Shoudong Ding
Xi Li
DiffM
23
22
0
23 Jun 2022
On Analyzing Generative and Denoising Capabilities of Diffusion-based
  Deep Generative Models
On Analyzing Generative and Denoising Capabilities of Diffusion-based Deep Generative Models
Kamil Deja
Anna Kuzina
Tomasz Trzciñski
Jakub M. Tomczak
DiffM
31
25
0
31 May 2022
Few-Shot Diffusion Models
Few-Shot Diffusion Models
Giorgio Giannone
Didrik Nielsen
Ole Winther
DiffM
183
49
0
30 May 2022
Structured Uncertainty in the Observation Space of Variational
  Autoencoders
Structured Uncertainty in the Observation Space of Variational Autoencoders
James A. G. Langley
M. Monteiro
Charles Jones
Nick Pawlowski
Ben Glocker
CML
OOD
BDL
DRL
31
2
0
25 May 2022
Accelerating Diffusion Models via Early Stop of the Diffusion Process
Accelerating Diffusion Models via Early Stop of the Diffusion Process
Zhaoyang Lyu
Xu Xudong
Ceyuan Yang
Dahua Lin
Bo Dai
DiffM
193
92
0
25 May 2022
Towards Unified Keyframe Propagation Models
Towards Unified Keyframe Propagation Models
Patrick Esser
Peter Michael
Soumyadip Sengupta
VGen
25
0
0
19 May 2022
The Devil is in the Frequency: Geminated Gestalt Autoencoder for
  Self-Supervised Visual Pre-Training
The Devil is in the Frequency: Geminated Gestalt Autoencoder for Self-Supervised Visual Pre-Training
Hao Liu
Xinghua Jiang
Xin Li
Antai Guo
Deqiang Jiang
Bo Ren
26
37
0
18 Apr 2022
Transframer: Arbitrary Frame Prediction with Generative Models
Transframer: Arbitrary Frame Prediction with Generative Models
C. Nash
João Carreira
Jacob Walker
Iain Barr
Andrew Jaegle
Mateusz Malinowski
Peter W. Battaglia
ViT
27
37
0
17 Mar 2022
The Role of ImageNet Classes in Fréchet Inception Distance
The Role of ImageNet Classes in Fréchet Inception Distance
Tuomas Kynkaanniemi
Tero Karras
M. Aittala
Timo Aila
J. Lehtinen
EGVM
VLM
27
199
0
11 Mar 2022
Polarity Sampling: Quality and Diversity Control of Pre-Trained
  Generative Networks via Singular Values
Polarity Sampling: Quality and Diversity Control of Pre-Trained Generative Networks via Singular Values
Ahmed Imtiaz Humayun
Randall Balestriero
Richard Baraniuk
21
31
0
03 Mar 2022
Autoregressive Image Generation using Residual Quantization
Autoregressive Image Generation using Residual Quantization
Doyup Lee
Chiheon Kim
Saehoon Kim
Minsu Cho
Wook-Shin Han
VGen
172
326
0
03 Mar 2022
General-purpose, long-context autoregressive modeling with Perceiver AR
General-purpose, long-context autoregressive modeling with Perceiver AR
Curtis Hawthorne
Andrew Jaegle
Cătălina Cangea
Sebastian Borgeaud
C. Nash
...
Hannah R. Sheahan
Neil Zeghidour
Jean-Baptiste Alayrac
João Carreira
Jesse Engel
37
65
0
15 Feb 2022
MaskGIT: Masked Generative Image Transformer
MaskGIT: Masked Generative Image Transformer
Huiwen Chang
Han Zhang
Lu Jiang
Ce Liu
William T. Freeman
ViT
40
622
0
08 Feb 2022
StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets
StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets
Axel Sauer
Katja Schwarz
Andreas Geiger
182
490
0
01 Feb 2022
From data to functa: Your data point is a function and you can treat it
  like one
From data to functa: Your data point is a function and you can treat it like one
Emilien Dupont
Hyunjik Kim
S. M. Ali Eslami
Danilo Jimenez Rezende
Dan Rosenbaum
TDI
3DPC
178
139
0
28 Jan 2022
ShapeFormer: Transformer-based Shape Completion via Sparse
  Representation
ShapeFormer: Transformer-based Shape Completion via Sparse Representation
Xingguang Yan
Liqiang Lin
Niloy J. Mitra
Dani Lischinski
Daniel Cohen-Or
Hui Huang
ViT
64
112
0
25 Jan 2022
NomMer: Nominate Synergistic Context in Vision Transformer for Visual
  Recognition
NomMer: Nominate Synergistic Context in Vision Transformer for Visual Recognition
Hao Liu
Xinghua Jiang
Xin Li
Zhimin Bao
Deqiang Jiang
Bo Ren
ViT
24
16
0
25 Nov 2021
Unleashing Transformers: Parallel Token Prediction with Discrete
  Absorbing Diffusion for Fast High-Resolution Image Generation from
  Vector-Quantized Codes
Unleashing Transformers: Parallel Token Prediction with Discrete Absorbing Diffusion for Fast High-Resolution Image Generation from Vector-Quantized Codes
Sam Bond-Taylor
P. Hessey
Hiroshi Sasaki
T. Breckon
Chris G. Willcocks
DiffM
27
71
0
24 Nov 2021
A Method for Evaluating Deep Generative Models of Images via Assessing
  the Reproduction of High-order Spatial Context
A Method for Evaluating Deep Generative Models of Images via Assessing the Reproduction of High-order Spatial Context
Rucha Deshpande
M. Anastasio
F. Brooks
MedIm
36
2
0
24 Nov 2021
Few-shot Image Generation with Mixup-based Distance Learning
Few-shot Image Generation with Mixup-based Distance Learning
Chaerin Kong
Jeesoo Kim
D. Han
Nojun Kwak
16
22
0
23 Nov 2021
FreqNet: A Frequency-domain Image Super-Resolution Network with Dicrete
  Cosine Transform
FreqNet: A Frequency-domain Image Super-Resolution Network with Dicrete Cosine Transform
Runyuan Cai
Yue Ding
Hongtao Lu
SupR
46
5
0
21 Nov 2021
PatchGame: Learning to Signal Mid-level Patches in Referential Games
PatchGame: Learning to Signal Mid-level Patches in Referential Games
Kamal Gupta
Gowthami Somepalli
Anubhav Gupta
Vinoj Jayasundara
Matthias Zwicker
Abhinav Shrivastava
25
3
0
02 Nov 2021
Vector-quantized Image Modeling with Improved VQGAN
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
480
0
09 Oct 2021
ImageBART: Bidirectional Context with Multinomial Diffusion for
  Autoregressive Image Synthesis
ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image Synthesis
Patrick Esser
Robin Rombach
A. Blattmann
Bjorn Ommer
DiffM
24
156
0
19 Aug 2021
Diffusion Models Beat GANs on Image Synthesis
Diffusion Models Beat GANs on Image Synthesis
Prafulla Dhariwal
Alex Nichol
81
7,420
0
11 May 2021
Variable-rate discrete representation learning
Variable-rate discrete representation learning
Sander Dieleman
C. Nash
Jesse Engel
Karen Simonyan
BDL
DRL
24
23
0
10 Mar 2021
Taming Transformers for High-Resolution Image Synthesis
Taming Transformers for High-Resolution Image Synthesis
Patrick Esser
Robin Rombach
Bjorn Ommer
ViT
64
2,814
0
17 Dec 2020
Big Bird: Transformers for Longer Sequences
Big Bird: Transformers for Longer Sequences
Manzil Zaheer
Guru Guruganesh
Kumar Avinava Dubey
Joshua Ainslie
Chris Alberti
...
Philip Pham
Anirudh Ravula
Qifan Wang
Li Yang
Amr Ahmed
VLM
280
2,015
0
28 Jul 2020
Efficient Content-Based Sparse Attention with Routing Transformers
Efficient Content-Based Sparse Attention with Routing Transformers
Aurko Roy
M. Saffar
Ashish Vaswani
David Grangier
MoE
243
580
0
12 Mar 2020
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
243
4,469
0
23 Jan 2020
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
282
10,354
0
12 Dec 2018
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
239
2,550
0
25 Jan 2016
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