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From Visual Explanations to Counterfactual Explanations with Latent Diffusion

From Visual Explanations to Counterfactual Explanations with Latent Diffusion

12 April 2025
Tung Luu
Nam Le
Duc Le
Bac Le
    DiffMAAMLFAtt
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Papers citing "From Visual Explanations to Counterfactual Explanations with Latent Diffusion"

38 / 38 papers shown
Title
Towards Understanding Cross and Self-Attention in Stable Diffusion for
  Text-Guided Image Editing
Towards Understanding Cross and Self-Attention in Stable Diffusion for Text-Guided Image Editing
Bingyan Liu
Chengyu Wang
Tingfeng Cao
Kui Jia
Jun Huang
DiffM
77
61
0
06 Mar 2024
Adversarial Counterfactual Visual Explanations
Adversarial Counterfactual Visual Explanations
Guillaume Jeanneret
Loïc Simon
F. Jurie
DiffM
85
29
0
17 Mar 2023
Diffusion Visual Counterfactual Explanations
Diffusion Visual Counterfactual Explanations
Maximilian Augustin
Valentyn Boreiko
Francesco Croce
Matthias Hein
DiffMBDL
78
74
0
21 Oct 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
200
3,493
0
16 Oct 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
203
1,789
0
02 Aug 2022
Blended Latent Diffusion
Blended Latent Diffusion
Omri Avrahami
Ohad Fried
Dani Lischinski
DiffM
117
388
0
06 Jun 2022
Sparse Visual Counterfactual Explanations in Image Space
Sparse Visual Counterfactual Explanations in Image Space
Valentyn Boreiko
Maximilian Augustin
Francesco Croce
Philipp Berens
Matthias Hein
BDLCML
112
28
0
16 May 2022
Diffusion Models for Counterfactual Explanations
Diffusion Models for Counterfactual Explanations
Guillaume Jeanneret
Loïc Simon
F. Jurie
DiffM
110
58
0
29 Mar 2022
Cycle-Consistent Counterfactuals by Latent Transformations
Cycle-Consistent Counterfactuals by Latent Transformations
Saeed Khorram
Li Fuxin
BDL
55
32
0
28 Mar 2022
RePaint: Inpainting using Denoising Diffusion Probabilistic Models
RePaint: Inpainting using Denoising Diffusion Probabilistic Models
Andreas Lugmayr
Martin Danelljan
Andrés Romero
Feng Yu
Radu Timofte
Luc Van Gool
DiffM
352
1,418
0
24 Jan 2022
Diffusion Models Beat GANs on Image Synthesis
Diffusion Models Beat GANs on Image Synthesis
Prafulla Dhariwal
Alex Nichol
250
7,933
0
11 May 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Ze Liu
Yutong Lin
Yue Cao
Han Hu
Yixuan Wei
Zheng Zhang
Stephen Lin
B. Guo
ViT
463
21,564
0
25 Mar 2021
Beyond Trivial Counterfactual Explanations with Diverse Valuable
  Explanations
Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations
Pau Rodríguez López
Massimo Caccia
Alexandre Lacoste
L. Zamparo
I. Laradji
Laurent Charlin
David Vazquez
AAML
81
57
0
18 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
CLIPVLM
967
29,810
0
26 Feb 2021
Exploring Simple Siamese Representation Learning
Exploring Simple Siamese Representation Learning
Xinlei Chen
Kaiming He
SSL
258
4,072
0
20 Nov 2020
IS-CAM: Integrated Score-CAM for axiomatic-based explanations
IS-CAM: Integrated Score-CAM for axiomatic-based explanations
Rakshit Naidu
Ankita Ghosh
Yash Maurya
K. ShamanthRNayak
Soumya Snigdha Kundu
FAtt
111
46
0
06 Oct 2020
Denoising Diffusion Implicit Models
Denoising Diffusion Implicit Models
Jiaming Song
Chenlin Meng
Stefano Ermon
VLMDiffM
289
7,454
0
06 Oct 2020
SS-CAM: Smoothed Score-CAM for Sharper Visual Feature Localization
SS-CAM: Smoothed Score-CAM for Sharper Visual Feature Localization
Haofan Wang
Rakshit Naidu
J. Michael
Soumya Snigdha Kundu
FAtt
111
79
0
25 Jun 2020
Denoising Diffusion Probabilistic Models
Denoising Diffusion Probabilistic Models
Jonathan Ho
Ajay Jain
Pieter Abbeel
DiffM
672
18,276
0
19 Jun 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
482
10,591
0
17 Feb 2020
Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural
  Networks
Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks
Mehdi Neshat
Zifan Wang
Bradley Alexander
Fan Yang
Zijian Zhang
Sirui Ding
Markus Wagner
Xia Hu
FAtt
93
1,074
0
03 Oct 2019
MaskGAN: Towards Diverse and Interactive Facial Image Manipulation
MaskGAN: Towards Diverse and Interactive Facial Image Manipulation
Cheng-Han Lee
Ziwei Liu
Lingyun Wu
Ping Luo
CVBM
166
1,076
0
27 Jul 2019
High-Resolution Image Synthesis and Semantic Manipulation with
  Conditional GANs
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
Ting-Chun Wang
Ming-Yuan Liu
Jun-Yan Zhu
Andrew Tao
Jan Kautz
Bryan Catanzaro
SSeg
176
3,943
0
30 Nov 2017
Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks
Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks
Aditya Chattopadhyay
Anirban Sarkar
Prantik Howlader
V. Balasubramanian
FAtt
112
2,306
0
30 Oct 2017
Towards Deep Learning Models Resistant to Adversarial Attacks
Towards Deep Learning Models Resistant to Adversarial Attacks
Aleksander Madry
Aleksandar Makelov
Ludwig Schmidt
Dimitris Tsipras
Adrian Vladu
SILMOOD
315
12,131
0
19 Jun 2017
Grad-CAM: Why did you say that?
Grad-CAM: Why did you say that?
Ramprasaath R. Selvaraju
Abhishek Das
Ramakrishna Vedantam
Michael Cogswell
Devi Parikh
Dhruv Batra
FAtt
70
475
0
22 Nov 2016
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based
  Localization
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
Ramprasaath R. Selvaraju
Michael Cogswell
Abhishek Das
Ramakrishna Vedantam
Devi Parikh
Dhruv Batra
FAtt
321
20,070
0
07 Oct 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN3DV
775
36,861
0
25 Aug 2016
Transferability in Machine Learning: from Phenomena to Black-Box Attacks
  using Adversarial Samples
Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversarial Samples
Nicolas Papernot
Patrick McDaniel
Ian Goodfellow
SILMAAML
114
1,742
0
24 May 2016
Learning Deep Features for Discriminative Localization
Learning Deep Features for Discriminative Localization
Bolei Zhou
A. Khosla
Àgata Lapedriza
A. Oliva
Antonio Torralba
SSLSSegFAtt
253
9,338
0
14 Dec 2015
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,322
0
10 Dec 2015
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DVBDL
886
27,412
0
02 Dec 2015
The Limitations of Deep Learning in Adversarial Settings
The Limitations of Deep Learning in Adversarial Settings
Nicolas Papernot
Patrick McDaniel
S. Jha
Matt Fredrikson
Z. Berkay Celik
A. Swami
AAML
115
3,966
0
24 Nov 2015
DeepFool: a simple and accurate method to fool deep neural networks
DeepFool: a simple and accurate method to fool deep neural networks
Seyed-Mohsen Moosavi-Dezfooli
Alhussein Fawzi
P. Frossard
AAML
154
4,903
0
14 Nov 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg3DV
1.9K
77,341
0
18 May 2015
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Jascha Narain Sohl-Dickstein
Eric A. Weiss
Niru Maheswaranathan
Surya Ganguli
SyDaDiffM
306
7,005
0
12 Mar 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.0K
150,260
0
22 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
1.7K
100,479
0
04 Sep 2014
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