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. 2501.07730
  4. Cited By
Democratizing Text-to-Image Masked Generative Models with Compact Text-Aware One-Dimensional Tokens

Democratizing Text-to-Image Masked Generative Models with Compact Text-Aware One-Dimensional Tokens

13 January 2025
Dongwon Kim
Ju He
Qihang Yu
Chenglin Yang
Xiaohui Shen
Suha Kwak
Liang-Chieh Chen
    VLM
ArXiv (abs)PDFHTML

Papers citing "Democratizing Text-to-Image Masked Generative Models with Compact Text-Aware One-Dimensional Tokens"

50 / 63 papers shown
Title
Discrete JEPA: Learning Discrete Token Representations without Reconstruction
Discrete JEPA: Learning Discrete Token Representations without Reconstruction
Junyeob Baek
Hosung Lee
Christopher Hoang
Mengye Ren
Sungjin Ahn
22
0
0
17 Jun 2025
Grouping First, Attending Smartly: Training-Free Acceleration for Diffusion Transformers
Grouping First, Attending Smartly: Training-Free Acceleration for Diffusion Transformers
Sucheng Ren
Qihang Yu
Ju He
Alan Yuille
Liang-Chieh Chen
131
0
0
20 May 2025
REPA-E: Unlocking VAE for End-to-End Tuning with Latent Diffusion Transformers
REPA-E: Unlocking VAE for End-to-End Tuning with Latent Diffusion Transformers
Xingjian Leng
Jaskirat Singh
Yunzhong Hou
Zhenchang Xing
Saining Xie
Liang Zheng
94
6
0
14 Apr 2025
Deeply Supervised Flow-Based Generative Models
Deeply Supervised Flow-Based Generative Models
Inkyu Shin
Chenglin Yang
Liang-Chieh Chen
93
2
0
18 Mar 2025
FlowTok: Flowing Seamlessly Across Text and Image Tokens
FlowTok: Flowing Seamlessly Across Text and Image Tokens
Ju He
Qihang Yu
Qihao Liu
Liang-Chieh Chen
148
1
0
13 Mar 2025
Robust Latent Matters: Boosting Image Generation with Sampling Error Synthesis
Robust Latent Matters: Boosting Image Generation with Sampling Error Synthesis
Kai Qiu
Xianrui Li
Jason Kuen
Hong Chen
Xiaohao Xu
Jiuxiang Gu
Yinyi Luo
Bhiksha Raj
Zhe Lin
Marios Savvides
158
2
0
11 Mar 2025
Randomized Autoregressive Visual Generation
Randomized Autoregressive Visual Generation
Qihang Yu
Ju He
XueQing Deng
Xiaohui Shen
Liang-Chieh Chen
VGenDiffM
138
40
1
01 Nov 2024
Progressive Compositionality in Text-to-Image Generative Models
Progressive Compositionality in Text-to-Image Generative Models
Xu Han
Linghao Jin
Xiaofeng Liu
Paul Pu Liang
CoGe
149
4
0
22 Oct 2024
Fluid: Scaling Autoregressive Text-to-image Generative Models with
  Continuous Tokens
Fluid: Scaling Autoregressive Text-to-image Generative Models with Continuous Tokens
Lijie Fan
Tianhong Li
Siyang Qin
Yuanzhen Li
Chen Sun
Michael Rubinstein
Deqing Sun
Kaiming He
Yonglong Tian
VLMDiffM
131
57
0
17 Oct 2024
MaskBit: Embedding-free Image Generation via Bit Tokens
MaskBit: Embedding-free Image Generation via Bit Tokens
Mark Weber
Lijun Yu
Qihang Yu
XueQing Deng
Xiaohui Shen
Daniel Cremers
Liang-Chieh Chen
DiffM
102
40
0
24 Sep 2024
Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation
Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation
Zhuoyan Luo
Fengyuan Shi
Yixiao Ge
Yujiu Yang
Limin Wang
Ying Shan
VLM
160
59
0
06 Sep 2024
Show-o: One Single Transformer to Unify Multimodal Understanding and
  Generation
Show-o: One Single Transformer to Unify Multimodal Understanding and Generation
Jinheng Xie
Weijia Mao
Zechen Bai
David Junhao Zhang
Weihao Wang
Kevin Qinghong Lin
Yuchao Gu
Zhijie Chen
Zhenheng Yang
Mike Zheng Shou
136
228
0
22 Aug 2024
Autoregressive Image Generation without Vector Quantization
Autoregressive Image Generation without Vector Quantization
Tianhong Li
Yonglong Tian
He Li
Mingyang Deng
Kaiming He
DiffM
159
238
0
17 Jun 2024
Alleviating Distortion in Image Generation via Multi-Resolution
  Diffusion Models
Alleviating Distortion in Image Generation via Multi-Resolution Diffusion Models
Qihao Liu
Zhanpeng Zeng
Ju He
Qihang Yu
Xiaohui Shen
Liang-Chieh Chen
105
22
0
13 Jun 2024
An Image is Worth 32 Tokens for Reconstruction and Generation
An Image is Worth 32 Tokens for Reconstruction and Generation
Qihang Yu
Mark Weber
XueQing Deng
Xiaohui Shen
Daniel Cremers
Liang-Chieh Chen
VLMViT
172
104
0
11 Jun 2024
Autoregressive Model Beats Diffusion: Llama for Scalable Image
  Generation
Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation
Peize Sun
Yi Jiang
Shoufa Chen
Shilong Zhang
Bingyue Peng
Ping Luo
Zehuan Yuan
VLM
134
301
0
10 Jun 2024
Chameleon: Mixed-Modal Early-Fusion Foundation Models
Chameleon: Mixed-Modal Early-Fusion Foundation Models
Chameleon Team
MLLM
212
338
0
16 May 2024
Scaling Rectified Flow Transformers for High-Resolution Image Synthesis
Scaling Rectified Flow Transformers for High-Resolution Image Synthesis
Patrick Esser
Sumith Kulal
A. Blattmann
Rahim Entezari
Jonas Muller
...
Zion English
Kyle Lacey
Alex Goodwin
Yannik Marek
Robin Rombach
DiffM
321
1,410
0
05 Mar 2024
Playground v2.5: Three Insights towards Enhancing Aesthetic Quality in
  Text-to-Image Generation
Playground v2.5: Three Insights towards Enhancing Aesthetic Quality in Text-to-Image Generation
Daiqing Li
Aleks Kamko
Ehsan Akhgari
Ali Sabet
Linmiao Xu
Suhail Doshi
75
110
0
27 Feb 2024
GenEval: An Object-Focused Framework for Evaluating Text-to-Image
  Alignment
GenEval: An Object-Focused Framework for Evaluating Text-to-Image Alignment
Dhruba Ghosh
Hanna Hajishirzi
Ludwig Schmidt
98
202
0
17 Oct 2023
Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation
Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation
Lijun Yu
José Lezama
N. B. Gundavarapu
Luca Versari
Kihyuk Sohn
...
Boqing Gong
Ming-Hsuan Yang
Irfan Essa
David A. Ross
Lu Jiang
137
325
0
09 Oct 2023
PixArt-$α$: Fast Training of Diffusion Transformer for
  Photorealistic Text-to-Image Synthesis
PixArt-ααα: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis
Junsong Chen
Jincheng Yu
Chongjian Ge
Lewei Yao
Enze Xie
...
Zhongdao Wang
James T. Kwok
Ping Luo
Huchuan Lu
Zhenguo Li
DiffM
117
461
0
30 Sep 2023
SDXL: Improving Latent Diffusion Models for High-Resolution Image
  Synthesis
SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis
Dustin Podell
Zion English
Kyle Lacey
A. Blattmann
Tim Dockhorn
Jonas Muller
Joe Penna
Robin Rombach
302
2,457
0
04 Jul 2023
JourneyDB: A Benchmark for Generative Image Understanding
JourneyDB: A Benchmark for Generative Image Understanding
Keqiang Sun
Junting Pan
Yuying Ge
Hao Li
Haodong Duan
...
Yi Wang
Jifeng Dai
Yu Qiao
Limin Wang
Hongsheng Li
129
120
0
03 Jul 2023
DataComp: In search of the next generation of multimodal datasets
DataComp: In search of the next generation of multimodal datasets
S. Gadre
Gabriel Ilharco
Alex Fang
J. Hayase
Georgios Smyrnis
...
A. Dimakis
J. Jitsev
Y. Carmon
Vaishaal Shankar
Ludwig Schmidt
VLM
118
452
0
27 Apr 2023
Muse: Text-To-Image Generation via Masked Generative Transformers
Muse: Text-To-Image Generation via Masked Generative Transformers
Huiwen Chang
Han Zhang
Jarred Barber
AJ Maschinot
José Lezama
...
Kevin Patrick Murphy
William T. Freeman
Michael Rubinstein
Yuanzhen Li
Dilip Krishnan
DiffM
278
560
0
02 Jan 2023
Scalable Diffusion Models with Transformers
Scalable Diffusion Models with Transformers
William S. Peebles
Saining Xie
GNN
161
2,439
0
19 Dec 2022
MAGVIT: Masked Generative Video Transformer
MAGVIT: Masked Generative Video Transformer
Lijun Yu
Yong Cheng
Kihyuk Sohn
José Lezama
Han Zhang
...
Alexander G. Hauptmann
Ming-Hsuan Yang
Yuan Hao
Irfan Essa
Lu Jiang
DiffMVGen
115
248
0
10 Dec 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
83
170
0
16 Nov 2022
LAION-5B: An open large-scale dataset for training next generation
  image-text models
LAION-5B: An open large-scale dataset for training next generation image-text models
Christoph Schuhmann
Romain Beaumont
Richard Vencu
Cade Gordon
Ross Wightman
...
Srivatsa Kundurthy
Katherine Crowson
Ludwig Schmidt
R. Kaczmarczyk
J. Jitsev
VLMMLLMCLIP
231
3,520
0
16 Oct 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
185
365
0
25 Sep 2022
Classifier-Free Diffusion Guidance
Classifier-Free Diffusion Guidance
Jonathan Ho
Tim Salimans
FaML
204
3,982
0
26 Jul 2022
Scaling Autoregressive Models for Content-Rich Text-to-Image Generation
Scaling Autoregressive Models for Content-Rich Text-to-Image Generation
Jiahui Yu
Yuanzhong Xu
Jing Yu Koh
Thang Luong
Gunjan Baid
...
Zarana Parekh
Xin Li
Han Zhang
Jason Baldridge
Yonghui Wu
EGVM
223
1,134
0
22 Jun 2022
Photorealistic Text-to-Image Diffusion Models with Deep Language
  Understanding
Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding
Chitwan Saharia
William Chan
Saurabh Saxena
Lala Li
Jay Whang
...
Raphael Gontijo-Lopes
Tim Salimans
Jonathan Ho
David J Fleet
Mohammad Norouzi
VLM
510
6,102
0
23 May 2022
Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priors
Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priors
Oran Gafni
Adam Polyak
Oron Ashual
Shelly Sheynin
Devi Parikh
Yaniv Taigman
DiffM
97
526
0
24 Mar 2022
MaskGIT: Masked Generative Image Transformer
MaskGIT: Masked Generative Image Transformer
Huiwen Chang
Han Zhang
Lu Jiang
Ce Liu
William T. Freeman
ViT
158
695
0
08 Feb 2022
High-Resolution Image Synthesis with Latent Diffusion Models
High-Resolution Image Synthesis with Latent Diffusion Models
Robin Rombach
A. Blattmann
Dominik Lorenz
Patrick Esser
Bjorn Ommer
3DV
603
15,845
0
20 Dec 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
ViTVLMDRL
168
527
0
09 Oct 2021
Diffusion Models Beat GANs on Image Synthesis
Diffusion Models Beat GANs on Image Synthesis
Prafulla Dhariwal
Alex Nichol
343
8,006
0
11 May 2021
Regularizing Generative Adversarial Networks under Limited Data
Regularizing Generative Adversarial Networks under Limited Data
Hung-Yu Tseng
Lu Jiang
Ce Liu
Ming-Hsuan Yang
Weilong Yang
GAN
123
145
0
07 Apr 2021
Learning Transferable Visual Models From Natural Language Supervision
Learning Transferable Visual Models From Natural Language Supervision
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
...
Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
CLIPVLM
1.1K
30,032
0
26 Feb 2021
Zero-Shot Text-to-Image Generation
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
428
5,015
0
24 Feb 2021
Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize
  Long-Tail Visual Concepts
Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts
Soravit Changpinyo
P. Sharma
Nan Ding
Radu Soricut
VLM
472
1,143
0
17 Feb 2021
Taming Transformers for High-Resolution Image Synthesis
Taming Transformers for High-Resolution Image Synthesis
Patrick Esser
Robin Rombach
Bjorn Ommer
ViT
137
3,015
0
17 Dec 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at
  Scale
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
744
41,796
0
22 Oct 2020
Denoising Diffusion Probabilistic Models
Denoising Diffusion Probabilistic Models
Jonathan Ho
Ajay Jain
Pieter Abbeel
DiffM
971
18,496
0
19 Jun 2020
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
1.1K
42,651
0
28 May 2020
Decision-Making with Auto-Encoding Variational Bayes
Decision-Making with Auto-Encoding Variational Bayes
Romain Lopez
Pierre Boyeau
Nir Yosef
Michael I. Jordan
Jeffrey Regier
BDL
709
10,591
0
17 Feb 2020
Exploring the Limits of Transfer Learning with a Unified Text-to-Text
  Transformer
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Colin Raffel
Noam M. Shazeer
Adam Roberts
Katherine Lee
Sharan Narang
Michael Matena
Yanqi Zhou
Wei Li
Peter J. Liu
AIMat
647
20,418
0
23 Oct 2019
Making Convolutional Networks Shift-Invariant Again
Making Convolutional Networks Shift-Invariant Again
Richard Y. Zhang
OOD
103
799
0
25 Apr 2019
12
Next