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Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

22 June 2022
Jiahui Yu
Yuanzhong Xu
Jing Yu Koh
Thang Luong
Gunjan Baid
Zirui Wang
Vijay Vasudevan
Alexander Ku
Yinfei Yang
Burcu Karagol Ayan
Ben Hutchinson
Wei Han
Zarana Parekh
Xin Li
Han Zhang
Jason Baldridge
Yonghui Wu
    EGVM
ArXiv (abs)PDFHTML

Papers citing "Scaling Autoregressive Models for Content-Rich Text-to-Image Generation"

50 / 899 papers shown
Title
How to Defend Against Large-scale Model Poisoning Attacks in Federated
  Learning: A Vertical Solution
How to Defend Against Large-scale Model Poisoning Attacks in Federated Learning: A Vertical Solution
Jinbo Wang
Ruijin Wang
Fengli Zhang
FedMLAAML
71
0
0
16 Nov 2024
GSEditPro: 3D Gaussian Splatting Editing with Attention-based
  Progressive Localization
GSEditPro: 3D Gaussian Splatting Editing with Attention-based Progressive Localization
Yanhao Sun
RunZe Tian
Xiao Han
XinYao Liu
Yan Zhang
Kai Xu
3DGSDiffM
68
2
0
15 Nov 2024
Artificial Intelligence for Biomedical Video Generation
Artificial Intelligence for Biomedical Video Generation
Linyuan Li
Jianing Qiu
Anujit Saha
Lin Li
Poyuan Li
Mengxian He
Ziyu Guo
Wu Yuan
VGen
177
0
0
12 Nov 2024
ENAT: Rethinking Spatial-temporal Interactions in Token-based Image
  Synthesis
ENAT: Rethinking Spatial-temporal Interactions in Token-based Image Synthesis
Zanlin Ni
Yulin Wang
Renping Zhou
Yizeng Han
Jiayi Guo
Zhiyuan Liu
Yuan Yao
Gao Huang
103
5
0
11 Nov 2024
Region-Aware Text-to-Image Generation via Hard Binding and Soft
  Refinement
Region-Aware Text-to-Image Generation via Hard Binding and Soft Refinement
Zhennan Chen
Yajie Li
Haofan Wang
Zheyu Chen
Zhengkai Jiang
Jun Yu Li
Qian Wang
Jian Yang
Ying Tai
DiffM
108
9
0
10 Nov 2024
Scalable, Tokenization-Free Diffusion Model Architectures with Efficient
  Initial Convolution and Fixed-Size Reusable Structures for On-Device Image
  Generation
Scalable, Tokenization-Free Diffusion Model Architectures with Efficient Initial Convolution and Fixed-Size Reusable Structures for On-Device Image Generation
Sanchar Palit
Sathya Veera Reddy Dendi
Mallikarjuna Talluri
Raj Narayana Gadde
69
0
0
09 Nov 2024
Autoregressive Models in Vision: A Survey
Autoregressive Models in Vision: A Survey
Jing Xiong
Gongye Liu
Lun Huang
Chengyue Wu
Taiqiang Wu
...
Hao Fei
Guillermo Sapiro
Jiebo Luo
Ping Luo
Ngai Wong
VGen
191
14
0
08 Nov 2024
Clustering in Causal Attention Masking
Clustering in Causal Attention Masking
Nikita Karagodin
Yury Polyanskiy
Philippe Rigollet
134
7
0
07 Nov 2024
AsCAN: Asymmetric Convolution-Attention Networks for Efficient
  Recognition and Generation
AsCAN: Asymmetric Convolution-Attention Networks for Efficient Recognition and Generation
Anil Kag
Huseyin Coskun
Jierun Chen
Junli Cao
Willi Menapace
Aliaksandr Siarohin
Sergey Tulyakov
Jian Ren
93
3
0
07 Nov 2024
DomainGallery: Few-shot Domain-driven Image Generation by
  Attribute-centric Finetuning
DomainGallery: Few-shot Domain-driven Image Generation by Attribute-centric Finetuning
Yuxuan Duan
Y. Hong
Bo Zhang
Jun Lan
Huijia Zhu
Weiqiang Wang
Jianfu Zhang
Li Niu
Lefei Zhang
DiffM
114
0
0
07 Nov 2024
Image Understanding Makes for A Good Tokenizer for Image Generation
Image Understanding Makes for A Good Tokenizer for Image Generation
Luting Wang
Yang Zhao
Zijian Zhang
Jiashi Feng
Si Liu
Bingyi Kang
VLM
89
4
0
07 Nov 2024
ReEdit: Multimodal Exemplar-Based Image Editing with Diffusion Models
ReEdit: Multimodal Exemplar-Based Image Editing with Diffusion Models
Ashutosh Srivastava
Tarun Ram Menta
Abhinav Java
Avadhoot Jadhav
Silky Singh
Surgan Jandial
Balaji Krishnamurthy
DiffM
74
1
0
06 Nov 2024
SEE-DPO: Self Entropy Enhanced Direct Preference Optimization
SEE-DPO: Self Entropy Enhanced Direct Preference Optimization
Shivanshu Shekhar
Shreyas Singh
Tong Zhang
76
4
0
06 Nov 2024
Addressing Representation Collapse in Vector Quantized Models with One
  Linear Layer
Addressing Representation Collapse in Vector Quantized Models with One Linear Layer
Yongxin Zhu
Bing Li
Yifei Xin
Linli Xu
113
13
0
04 Nov 2024
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
Towards Unifying Understanding and Generation in the Era of Vision
  Foundation Models: A Survey from the Autoregression Perspective
Towards Unifying Understanding and Generation in the Era of Vision Foundation Models: A Survey from the Autoregression Perspective
Shenghao Xie
Wenqiang Zu
Mingyang Zhao
Duo Su
Shilong Liu
Ruohua Shi
Guoqi Li
Shanghang Zhang
Lei Ma
LRM
151
3
0
29 Oct 2024
Benchmarking Human and Automated Prompting in the Segment Anything Model
Benchmarking Human and Automated Prompting in the Segment Anything Model
Jorge Quesada
Zoe Fowler
Mohammad Alotaibi
Mohit Prabhushankar
Ghassan AlRegib
VLM
66
2
0
29 Oct 2024
MotionGPT-2: A General-Purpose Motion-Language Model for Motion
  Generation and Understanding
MotionGPT-2: A General-Purpose Motion-Language Model for Motion Generation and Understanding
Yuan Wang
Di Huang
Yaqi Zhang
Wanli Ouyang
J. Jiao
Xuetao Feng
Yan Zhou
Pengfei Wan
Shixiang Tang
Dan Xu
VGen
113
16
0
29 Oct 2024
Adapting Diffusion Models for Improved Prompt Compliance and
  Controllable Image Synthesis
Adapting Diffusion Models for Improved Prompt Compliance and Controllable Image Synthesis
Deepak Sridhar
Abhishek Peri
Rohith Rachala
Nuno Vasconcelos
DiffM
64
1
0
29 Oct 2024
NeuZip: Memory-Efficient Training and Inference with Dynamic Compression
  of Neural Networks
NeuZip: Memory-Efficient Training and Inference with Dynamic Compression of Neural Networks
Yongchang Hao
Yanshuai Cao
Lili Mou
MQ
76
4
0
28 Oct 2024
Simpler Diffusion (SiD2): 1.5 FID on ImageNet512 with pixel-space diffusion
Simpler Diffusion (SiD2): 1.5 FID on ImageNet512 with pixel-space diffusion
Emiel Hoogeboom
Thomas Mensink
Jonathan Heek
Kay Lamerigts
Ruiqi Gao
Tim Salimans
470
13
0
25 Oct 2024
FairQueue: Rethinking Prompt Learning for Fair Text-to-Image Generation
FairQueue: Rethinking Prompt Learning for Fair Text-to-Image Generation
Christopher T. H. Teo
Milad Abdollahzadeh
Xinda Ma
Ngai-Man Cheung
DiffM
68
2
0
24 Oct 2024
Robust Watermarking Using Generative Priors Against Image Editing: From Benchmarking to Advances
Robust Watermarking Using Generative Priors Against Image Editing: From Benchmarking to Advances
Shilin Lu
Zihan Zhou
Jiayou Lu
Yuanzhi Zhu
A. Kong
WIGM
145
15
0
24 Oct 2024
Fast constrained sampling in pre-trained diffusion models
Fast constrained sampling in pre-trained diffusion models
Alexandros Graikos
Nebojsa Jojic
Dimitris Samaras
DiffM
137
1
0
24 Oct 2024
How to Continually Adapt Text-to-Image Diffusion Models for Flexible
  Customization?
How to Continually Adapt Text-to-Image Diffusion Models for Flexible Customization?
Jiahua Dong
Wenqi Liang
Hongliu Li
Duzhen Zhang
Meng Cao
Henghui Ding
Salman Khan
Fahad Shahbaz Khan
DiffM
90
13
0
23 Oct 2024
DiP-GO: A Diffusion Pruner via Few-step Gradient Optimization
DiP-GO: A Diffusion Pruner via Few-step Gradient Optimization
Haowei Zhu
Dehua Tang
Ji Liu
Mingjie Lu
Jintu Zheng
...
Spandan Tiwari
Ashish Sirasao
Jun-Hai Yong
Bin Wang
E. Barsoum
DiffM
84
9
0
22 Oct 2024
Elucidating the design space of language models for image generation
Elucidating the design space of language models for image generation
Xuantong Liu
Shaozhe Hao
Xianbiao Qi
Tianyang Hu
Jun Wang
Rong Xiao
Yuan Yao
VLM
80
3
0
21 Oct 2024
Opportunities and Challenges of Generative-AI in Finance
Opportunities and Challenges of Generative-AI in Finance
Akshar Prabhu Desai
Ganesh Satish Mallya
Mohammad Luqman
Tejasvi Ravi
Nithya Kota
Pranjul Yadav
AIFin
125
4
0
21 Oct 2024
BiGR: Harnessing Binary Latent Codes for Image Generation and Improved Visual Representation Capabilities
BiGR: Harnessing Binary Latent Codes for Image Generation and Improved Visual Representation Capabilities
Shaozhe Hao
Xuantong Liu
Xianbiao Qi
Shihao Zhao
Bojia Zi
Rong Xiao
Kai Han
Kwan-Yee K. Wong
198
3
0
18 Oct 2024
Assessing Open-world Forgetting in Generative Image Model Customization
Assessing Open-world Forgetting in Generative Image Model Customization
Héctor Laria
Alex Gomez-Villa
Imad Eddine Marouf
Bogdan Raducanu
Bogdan Raducanu
VLMDiffM
114
0
0
18 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
MagicTailor: Component-Controllable Personalization in Text-to-Image Diffusion Models
MagicTailor: Component-Controllable Personalization in Text-to-Image Diffusion Models
Donghao Zhou
Jiancheng Huang
J. Bai
Jiaze Wang
Hao Chen
Guangyong Chen
Xiaowei Hu
Pheng Ann Heng
146
5
0
17 Oct 2024
Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World
  Model Disentanglement
Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World Model Disentanglement
Zhi Wang
Li Zhang
Wenhao Wu
Yuanheng Zhu
Dongbin Zhao
C. L. Philip Chen
OffRL
102
9
0
15 Oct 2024
Customize Your Visual Autoregressive Recipe with Set Autoregressive
  Modeling
Customize Your Visual Autoregressive Recipe with Set Autoregressive Modeling
Wenze Liu
Le Zhuo
Yi Xin
Sheng Xia
Peng Gao
Xiangyu Yue
125
9
0
14 Oct 2024
Evaluating Semantic Variation in Text-to-Image Synthesis: A Causal Perspective
Evaluating Semantic Variation in Text-to-Image Synthesis: A Causal Perspective
Xiangru Zhu
Penglei Sun
Yaoxian Song
Yanghua Xiao
Zhixu Li
Chengyu Wang
Jun Huang
Bei Yang
Xiaoxiao Xu
EGVM
514
2
0
14 Oct 2024
Generating Intermediate Representations for Compositional Text-To-Image
  Generation
Generating Intermediate Representations for Compositional Text-To-Image Generation
Ran Galun
Sagie Benaim
49
0
0
13 Oct 2024
Toward Guidance-Free AR Visual Generation via Condition Contrastive
  Alignment
Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment
Huayu Chen
Hang Su
Peize Sun
Jun Zhu
VLM
84
4
0
12 Oct 2024
DART: Denoising Autoregressive Transformer for Scalable Text-to-Image Generation
DART: Denoising Autoregressive Transformer for Scalable Text-to-Image Generation
Jiatao Gu
Yuyang Wang
Yizhe Zhang
Qihang Zhang
Dinghuai Zhang
Navdeep Jaitly
Josh Susskind
Shuangfei Zhai
DiffM
135
17
0
10 Oct 2024
Meissonic: Revitalizing Masked Generative Transformers for Efficient High-Resolution Text-to-Image Synthesis
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
162
19
0
10 Oct 2024
EvolveDirector: Approaching Advanced Text-to-Image Generation with Large
  Vision-Language Models
EvolveDirector: Approaching Advanced Text-to-Image Generation with Large Vision-Language Models
Rui Zhao
Hangjie Yuan
Yujie Wei
Shiwei Zhang
Yuchao Gu
...
Xiang Wang
Zhangjie Wu
Junhao Zhang
Yingya Zhang
Mike Zheng Shou
DiffMVLM
119
4
0
09 Oct 2024
Rectified Diffusion: Straightness Is Not Your Need in Rectified Flow
Rectified Diffusion: Straightness Is Not Your Need in Rectified Flow
Fu-Yun Wang
Ling Yang
Zhaoyang Huang
Mengdi Wang
Hongsheng Li
78
21
0
09 Oct 2024
Decouple-Then-Merge: Finetune Diffusion Models as Multi-Task Learning
Decouple-Then-Merge: Finetune Diffusion Models as Multi-Task Learning
Qianli Ma
Xuefei Ning
Dongrui Liu
Li Niu
Linfeng Zhang
MoMe
122
0
0
09 Oct 2024
Diversity-Rewarded CFG Distillation
Diversity-Rewarded CFG Distillation
Geoffrey Cideron
A. Agostinelli
Johan Ferret
Sertan Girgin
Romuald Elie
Olivier Bachem
Sarah Perrin
Alexandre Ramé
94
2
0
08 Oct 2024
Learning on LoRAs: GL-Equivariant Processing of Low-Rank Weight Spaces
  for Large Finetuned Models
Learning on LoRAs: GL-Equivariant Processing of Low-Rank Weight Spaces for Large Finetuned Models
Theo Putterman
Derek Lim
Yoav Gelberg
Stefanie Jegelka
Haggai Maron
AI4CE
102
6
0
05 Oct 2024
Did You Hear That? Introducing AADG: A Framework for Generating
  Benchmark Data in Audio Anomaly Detection
Did You Hear That? Introducing AADG: A Framework for Generating Benchmark Data in Audio Anomaly Detection
Ksheeraja Raghavan
Samiran Gode
Ankit Parag Shah
Surabhi Raghavan
Wolfram Burgard
Bhiksha Raj
Rita Singh
76
0
0
04 Oct 2024
LANTERN: Accelerating Visual Autoregressive Models with Relaxed Speculative Decoding
LANTERN: Accelerating Visual Autoregressive Models with Relaxed Speculative Decoding
Doohyuk Jang
Sihwan Park
J. Yang
Yeonsung Jung
Jihun Yun
Souvik Kundu
Sung-Yub Kim
Eunho Yang
139
10
0
04 Oct 2024
Tuning Timestep-Distilled Diffusion Model Using Pairwise Sample Optimization
Tuning Timestep-Distilled Diffusion Model Using Pairwise Sample Optimization
Zichen Miao
Zhengyuan Yang
Kevin Lin
Ze Wang
Zicheng Liu
Lijuan Wang
Qiang Qiu
97
6
0
04 Oct 2024
CaLMFlow: Volterra Flow Matching using Causal Language Models
CaLMFlow: Volterra Flow Matching using Causal Language Models
Shiyang Zhang
Daniel Levine
Ivan Vrkic
Marco Francesco Bressana
David Zhang
S. Rizvi
Yangtian Zhang
E. Zappala
David van Dijk
49
1
0
03 Oct 2024
Eliminating Oversaturation and Artifacts of High Guidance Scales in Diffusion Models
Eliminating Oversaturation and Artifacts of High Guidance Scales in Diffusion Models
Seyedmorteza Sadat
Otmar Hilliges
Romann M. Weber
DiffM
58
13
0
03 Oct 2024
Loong: Generating Minute-level Long Videos with Autoregressive Language Models
Loong: Generating Minute-level Long Videos with Autoregressive Language Models
Yuqing Wang
Tianwei Xiong
Daquan Zhou
Zhijie Lin
Yang Zhao
Bingyi Kang
Jiashi Feng
Xihui Liu
VGen
161
35
0
03 Oct 2024
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