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AttenST: A Training-Free Attention-Driven Style Transfer Framework with Pre-Trained Diffusion Models

10 March 2025
Bo Huang
Wenlun Xu
Qizhuo Han
Haodong Jing
Ying Li
    DiffM
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Papers citing "AttenST: A Training-Free Attention-Driven Style Transfer Framework with Pre-Trained Diffusion Models"

27 / 27 papers shown
Title
InstantStyle: Free Lunch towards Style-Preserving in Text-to-Image
  Generation
InstantStyle: Free Lunch towards Style-Preserving in Text-to-Image Generation
Haofan Wang
Matteo Spinelli
Qixun Wang
Xu Bai
Zekui Qin
Anthony Chen
DiffM
77
91
0
03 Apr 2024
Style Injection in Diffusion: A Training-free Approach for Adapting
  Large-scale Diffusion Models for Style Transfer
Style Injection in Diffusion: A Training-free Approach for Adapting Large-scale Diffusion Models for Style Transfer
Jiwoo Chung
Sangeek Hyun
Jae-Pil Heo
DiffM
62
95
0
11 Dec 2023
AesPA-Net: Aesthetic Pattern-Aware Style Transfer Networks
AesPA-Net: Aesthetic Pattern-Aware Style Transfer Networks
Kibeom Hong
Seogkyu Jeon
Junsoo Lee
Namhyuk Ahn
Kunhee Kim
Pilhyeon Lee
Daesik Kim
Youngjung Uh
H. Byun
90
30
0
19 Jul 2023
StyleDiffusion: Prompt-Embedding Inversion for Text-Based Editing
StyleDiffusion: Prompt-Embedding Inversion for Text-Based Editing
Senmao Li
Joost van de Weijer
Taihang Hu
Fahad Shahbaz Khan
Qibin Hou
Yaxing Wang
Jian Yang
DiffM
74
55
0
28 Mar 2023
Training-free Content Injection using h-space in Diffusion Models
Training-free Content Injection using h-space in Diffusion Models
Jaeseok Jeong
Mingi Kwon
Youngjung Uh
DiffM
69
27
0
27 Mar 2023
Adding Conditional Control to Text-to-Image Diffusion Models
Adding Conditional Control to Text-to-Image Diffusion Models
Lvmin Zhang
Anyi Rao
Maneesh Agrawala
AI4CE
105
4,074
1
10 Feb 2023
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image
  Encoders and Large Language Models
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models
Junnan Li
Dongxu Li
Silvio Savarese
Steven C. H. Hoi
VLM
MLLM
401
4,527
0
30 Jan 2023
DreamBooth: Fine Tuning Text-to-Image Diffusion Models for
  Subject-Driven Generation
DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation
Nataniel Ruiz
Yuanzhen Li
Varun Jampani
Yael Pritch
Michael Rubinstein
Kfir Aberman
247
2,832
0
25 Aug 2022
Prompt-to-Prompt Image Editing with Cross Attention Control
Prompt-to-Prompt Image Editing with Cross Attention Control
Amir Hertz
Ron Mokady
J. Tenenbaum
Kfir Aberman
Yael Pritch
Daniel Cohen-Or
DiffM
150
1,756
0
02 Aug 2022
Domain Enhanced Arbitrary Image Style Transfer via Contrastive Learning
Domain Enhanced Arbitrary Image Style Transfer via Contrastive Learning
Yuxin Zhang
Fan Tang
Weiming Dong
Haibin Huang
Chongyang Ma
Tong-Yee Lee
Changsheng Xu
116
159
0
19 May 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents
Hierarchical Text-Conditional Image Generation with CLIP Latents
Aditya A. Ramesh
Prafulla Dhariwal
Alex Nichol
Casey Chu
Mark Chen
VLM
DiffM
348
6,830
0
13 Apr 2022
Exact Feature Distribution Matching for Arbitrary Style Transfer and
  Domain Generalization
Exact Feature Distribution Matching for Arbitrary Style Transfer and Domain Generalization
Yabin Zhang
Minghan Li
Ruihuang Li
Kui Jia
Lei Zhang
OOD
89
166
0
15 Mar 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
361
15,373
0
20 Dec 2021
More Control for Free! Image Synthesis with Semantic Diffusion Guidance
More Control for Free! Image Synthesis with Semantic Diffusion Guidance
Xihui Liu
Dong Huk Park
S. Azadi
Gong Zhang
Arman Chopikyan
Yuxiao Hu
Humphrey Shi
Anna Rohrbach
Trevor Darrell
DiffM
72
255
0
10 Dec 2021
AdaAttN: Revisit Attention Mechanism in Arbitrary Neural Style Transfer
AdaAttN: Revisit Attention Mechanism in Arbitrary Neural Style Transfer
Songhua Liu
Tianwei Lin
Dongliang He
Fu Li
Meiling Wang
Xin Li
Zhengxing Sun
Qian Li
Errui Ding
133
305
0
08 Aug 2021
StyTr$^2$: Image Style Transfer with Transformers
StyTr2^22: Image Style Transfer with Transformers
Yingying Deng
Fan Tang
Weiming Dong
Chongyang Ma
Xingjia Pan
Lei Wang
Changsheng Xu
ViT
65
265
0
30 May 2021
Diffusion Models Beat GANs on Image Synthesis
Diffusion Models Beat GANs on Image Synthesis
Prafulla Dhariwal
Alex Nichol
181
7,765
0
11 May 2021
ArtFlow: Unbiased Image Style Transfer via Reversible Neural Flows
ArtFlow: Unbiased Image Style Transfer via Reversible Neural Flows
Jie An
Siyu Huang
Yibing Song
Dejing Dou
Wei Liu
Jiebo Luo
75
192
0
31 Mar 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
CLIP
VLM
820
29,167
0
26 Feb 2021
Denoising Diffusion Implicit Models
Denoising Diffusion Implicit Models
Jiaming Song
Chenlin Meng
Stefano Ermon
VLM
DiffM
213
7,294
0
06 Oct 2020
Arbitrary Style Transfer via Multi-Adaptation Network
Arbitrary Style Transfer via Multi-Adaptation Network
Yingying Deng
Fan Tang
Weiming Dong
Wen-Cheng Sun
Feiyue Huang
Changsheng Xu
TTA
60
180
0
27 May 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
532
10,540
0
12 Dec 2018
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
Eli Shechtman
Oliver Wang
EGVM
327
11,734
0
11 Jan 2018
Arbitrary Style Transfer in Real-time with Adaptive Instance
  Normalization
Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization
Xun Huang
Serge J. Belongie
OOD
175
4,349
0
20 Mar 2017
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Justin Johnson
Alexandre Alahi
Li Fei-Fei
SupR
218
10,230
0
27 Mar 2016
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.5K
100,213
0
04 Sep 2014
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
379
43,524
0
01 May 2014
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