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ALADIN: All Layer Adaptive Instance Normalization for Fine-grained Style
  Similarity

ALADIN: All Layer Adaptive Instance Normalization for Fine-grained Style Similarity

17 March 2021
Dan Ruta
Saeid Motiian
Baldo Faieta
Zhe-nan Lin
Hailin Jin
Alex Filipkowski
Andrew Gilbert
John Collomosse
    AI4CE
ArXivPDFHTML

Papers citing "ALADIN: All Layer Adaptive Instance Normalization for Fine-grained Style Similarity"

26 / 26 papers shown
Title
Data Attribution for Text-to-Image Models by Unlearning Synthesized Images
Data Attribution for Text-to-Image Models by Unlearning Synthesized Images
Sheng-Yu Wang
Aaron Hertzmann
Alexei A. Efros
Jun-Yan Zhu
Richard Zhang
TDI
126
2
0
21 Feb 2025
IntroStyle: Training-Free Introspective Style Attribution using
  Diffusion Features
IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features
Anand Kumar
Jiteng Mu
Nuno Vasconcelos
DiffM
82
0
0
19 Dec 2024
A LoRA is Worth a Thousand Pictures
A LoRA is Worth a Thousand Pictures
Chenxi Liu
Towaki Takikawa
Alec Jacobson
DiffM
OffRL
72
2
0
16 Dec 2024
FedStyle: Style-Based Federated Learning Crowdsourcing Framework for Art
  Commissions
FedStyle: Style-Based Federated Learning Crowdsourcing Framework for Art Commissions
Changjuan Ran
Yeting Guo
Fang Liu
Shenglan Cui
Yunfan Ye
FedML
16
1
0
25 Apr 2024
U Can't Gen This? A Survey of Intellectual Property Protection Methods
  for Data in Generative AI
U Can't Gen This? A Survey of Intellectual Property Protection Methods for Data in Generative AI
Tanja Sarcevic
Alicja Karlowicz
Rudolf Mayer
Ricardo A. Baeza-Yates
Andreas Rauber
42
6
0
22 Apr 2024
Measuring Style Similarity in Diffusion Models
Measuring Style Similarity in Diffusion Models
Gowthami Somepalli
Anubhav Gupta
Kamal Gupta
Shramay Palta
Micah Goldblum
Jonas Geiping
Abhinav Shrivastava
Tom Goldstein
EGVM
45
35
0
01 Apr 2024
ProMark: Proactive Diffusion Watermarking for Causal Attribution
ProMark: Proactive Diffusion Watermarking for Causal Attribution
Vishal Asnani
John Collomosse
Tu Bui
Xiaoming Liu
S. Agarwal
WIGM
DiffM
49
13
0
14 Mar 2024
Co-Evolution of Pose and Mesh for 3D Human Body Estimation from Video
Co-Evolution of Pose and Mesh for 3D Human Body Estimation from Video
Yingxuan You
Hong Liu
Ti Wang
Wenhao Li
Runwei Ding
Xia Li
3DH
21
13
0
20 Aug 2023
DIFF-NST: Diffusion Interleaving For deFormable Neural Style Transfer
DIFF-NST: Diffusion Interleaving For deFormable Neural Style Transfer
Dan Ruta
Gemma Canet Tarrés
Andrew Gilbert
Eli Shechtman
Nicholas I. Kolkin
John Collomosse
DiffM
19
5
0
09 Jul 2023
Evaluating Data Attribution for Text-to-Image Models
Evaluating Data Attribution for Text-to-Image Models
Sheng-Yu Wang
Alexei A. Efros
Jun-Yan Zhu
Richard Y. Zhang
TDI
24
30
0
15 Jun 2023
Not Only Generative Art: Stable Diffusion for Content-Style
  Disentanglement in Art Analysis
Not Only Generative Art: Stable Diffusion for Content-Style Disentanglement in Art Analysis
Yankun Wu
Yuta Nakashima
Noa Garcia
CoGe
DiffM
21
26
0
20 Apr 2023
ALADIN-NST: Self-supervised disentangled representation learning of
  artistic style through Neural Style Transfer
ALADIN-NST: Self-supervised disentangled representation learning of artistic style through Neural Style Transfer
Dan Ruta
Gemma Canet Tarrés
Alexander Black
Andrew Gilbert
John Collomosse
DRL
OOD
11
3
0
12 Apr 2023
NeAT: Neural Artistic Tracing for Beautiful Style Transfer
NeAT: Neural Artistic Tracing for Beautiful Style Transfer
Dan Ruta
Andrew Gilbert
John Collomosse
Eli Shechtman
Nicholas I. Kolkin
3DH
22
3
0
11 Apr 2023
EKILA: Synthetic Media Provenance and Attribution for Generative Art
EKILA: Synthetic Media Provenance and Attribution for Generative Art
Kar Balan
S. Agarwal
Simon Jenni
Andy Parsons
Andrew Gilbert
John Collomosse
22
12
0
10 Apr 2023
PARASOL: Parametric Style Control for Diffusion Image Synthesis
PARASOL: Parametric Style Control for Diffusion Image Synthesis
Gemma Canet Tarrés
Dan Ruta
Tu Bui
John Collomosse
DiffM
32
6
0
11 Mar 2023
Adversarial Attacks and Defenses in Machine Learning-Powered Networks: A
  Contemporary Survey
Adversarial Attacks and Defenses in Machine Learning-Powered Networks: A Contemporary Survey
Yulong Wang
Tong Sun
Shenghong Li
Xinnan Yuan
W. Ni
E. Hossain
H. Vincent Poor
AAML
24
18
0
11 Mar 2023
Simple Disentanglement of Style and Content in Visual Representations
Simple Disentanglement of Style and Content in Visual Representations
Lilian Ngweta
Subha Maity
Alex Gittens
Yuekai Sun
Mikhail Yurochkin
CoGe
DRL
19
7
0
20 Feb 2023
Self-supervised Multi-view Disentanglement for Expansion of Visual
  Collections
Self-supervised Multi-view Disentanglement for Expansion of Visual Collections
Nihal Jain
Praneetha Vaddamanu
Paridhi Maheshwari
Vishwa Vinay
K. Kulkarni
11
3
0
04 Feb 2023
Diffusion Art or Digital Forgery? Investigating Data Replication in
  Diffusion Models
Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion Models
Gowthami Somepalli
Vasu Singla
Micah Goldblum
Jonas Geiping
Tom Goldstein
26
303
0
07 Dec 2022
Rethinking Generalization: The Impact of Annotation Style on Medical
  Image Segmentation
Rethinking Generalization: The Impact of Annotation Style on Medical Image Segmentation
Brennan Nichyporuk
Jillian Cardinell
Justin Szeto
Raghav Mehta
J. Falet
Douglas L. Arnold
Sotirios A. Tsaftaris
Tal Arbel
11
7
0
31 Oct 2022
HyperNST: Hyper-Networks for Neural Style Transfer
HyperNST: Hyper-Networks for Neural Style Transfer
Dan Ruta
Andrew Gilbert
Saeid Motiian
Baldo Faieta
Zhe-nan Lin
John Collomosse
25
7
0
09 Aug 2022
CoGS: Controllable Generation and Search from Sketch and Style
CoGS: Controllable Generation and Search from Sketch and Style
Cusuh Ham
Gemma Canet Tarrés
Tu Bui
James Hays
Zhe-nan Lin
John Collomosse
11
18
0
17 Mar 2022
StyleBabel: Artistic Style Tagging and Captioning
StyleBabel: Artistic Style Tagging and Captioning
Dan Ruta
Andrew Gilbert
Pranav Aggarwal
Naveen Marri
Ajinkya Kale
...
Hailin Jin
Baldo Faieta
Alex Filipkowski
Zhe-nan Lin
John Collomosse
17
12
0
10 Mar 2022
Learning Disentangled Representations in the Imaging Domain
Learning Disentangled Representations in the Imaging Domain
Xiao Liu
Pedro Sanchez
Spyridon Thermos
Alison Q. OÑeil
Sotirios A. Tsaftaris
OOD
DRL
19
71
0
26 Aug 2021
Measuring the Biases and Effectiveness of Content-Style Disentanglement
Measuring the Biases and Effectiveness of Content-Style Disentanglement
Xiao Liu
Spyridon Thermos
Gabriele Valvano
A. Chartsias
Alison Q. OÑeil
Sotirios A. Tsaftaris
CoGe
DRL
19
18
0
27 Aug 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
264
10,344
0
12 Dec 2018
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