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I2AM: Interpreting Image-to-Image Latent Diffusion Models via Bi-Attribution Maps
v1v2 (latest)

I2AM: Interpreting Image-to-Image Latent Diffusion Models via Bi-Attribution Maps

17 July 2024
Junseo Park
Hyeryung Jang
ArXiv (abs)PDFHTML

Papers citing "I2AM: Interpreting Image-to-Image Latent Diffusion Models via Bi-Attribution Maps"

50 / 57 papers shown
Title
Underwater Diffusion Attention Network with Contrastive Language-Image Joint Learning for Underwater Image Enhancement
Underwater Diffusion Attention Network with Contrastive Language-Image Joint Learning for Underwater Image Enhancement
Afrah Shaahid
Muzammil Behzad
128
0
0
26 May 2025
IMPRINT: Generative Object Compositing by Learning Identity-Preserving
  Representation
IMPRINT: Generative Object Compositing by Learning Identity-Preserving Representation
Yizhi Song
Zhifei Zhang
Zhe Lin
Scott D. Cohen
Brian L. Price
Jianming Zhang
Soo Ye Kim
Chentao Song
Wei Xiong
Daniel G. Aliaga
DiffM
186
59
0
15 Mar 2024
It's All About Your Sketch: Democratising Sketch Control in Diffusion
  Models
It's All About Your Sketch: Democratising Sketch Control in Diffusion ModelsComputer Vision and Pattern Recognition (CVPR), 2024
Subhadeep Koley
A. Bhunia
Deeptanshu Sekhri
Aneeshan Sain
Pinaki Nath Chowdhury
Tao Xiang
Yi-Zhe Song
DiffM
269
27
0
12 Mar 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
1.2K
2,510
0
05 Mar 2024
Training-Free Consistent Text-to-Image Generation
Training-Free Consistent Text-to-Image GenerationACM Transactions on Graphics (TOG), 2024
Yoad Tewel
Omri Kaduri
Rinon Gal
Yoni Kasten
Lior Wolf
Gal Chechik
Yuval Atzmon
DiffM
249
106
0
05 Feb 2024
StableVITON: Learning Semantic Correspondence with Latent Diffusion
  Model for Virtual Try-On
StableVITON: Learning Semantic Correspondence with Latent Diffusion Model for Virtual Try-OnComputer Vision and Pattern Recognition (CVPR), 2023
Jeongho Kim
Gyojung Gu
Minho Park
S. Park
Jaegul Choo
DiffM
189
164
0
04 Dec 2023
SeeSR: Towards Semantics-Aware Real-World Image Super-Resolution
SeeSR: Towards Semantics-Aware Real-World Image Super-ResolutionComputer Vision and Pattern Recognition (CVPR), 2023
Rongyuan Wu
Tao Yang
Lingchen Sun
Zhengqiang Zhang
Shuai Li
Lei Zhang
DiffMSupR
262
236
0
27 Nov 2023
Pixel-Aware Stable Diffusion for Realistic Image Super-resolution and
  Personalized Stylization
Pixel-Aware Stable Diffusion for Realistic Image Super-resolution and Personalized StylizationEuropean Conference on Computer Vision (ECCV), 2023
Tao Yang
Rongyuan Wu
Peiran Ren
Xuansong Xie
Lei Zhang
DiffM
310
222
0
28 Aug 2023
Dense Text-to-Image Generation with Attention Modulation
Dense Text-to-Image Generation with Attention ModulationIEEE International Conference on Computer Vision (ICCV), 2023
Yunji Kim
Jiyoung Lee
Jin-Hwa Kim
Jung-Woo Ha
Jun-Yan Zhu
DiffM
216
179
0
24 Aug 2023
Taming the Power of Diffusion Models for High-Quality Virtual Try-On
  with Appearance Flow
Taming the Power of Diffusion Models for High-Quality Virtual Try-On with Appearance FlowACM Multimedia (ACM MM), 2023
Junhong Gou
Siyu Sun
Jianfu Zhang
Jianlou Si
Chao Qian
Liqing Zhang
DiffM
301
136
0
11 Aug 2023
DragDiffusion: Harnessing Diffusion Models for Interactive Point-based
  Image Editing
DragDiffusion: Harnessing Diffusion Models for Interactive Point-based Image EditingComputer Vision and Pattern Recognition (CVPR), 2023
Yujun Shi
Chuhui Xue
Jun Hao Liew
Jiachun Pan
Hanshu Yan
Wenqing Zhang
Vincent Y. F. Tan
Song Bai
320
296
0
26 Jun 2023
Diffusion Self-Guidance for Controllable Image Generation
Diffusion Self-Guidance for Controllable Image GenerationNeural Information Processing Systems (NeurIPS), 2023
Dave Epstein
Allan Jabri
Ben Poole
Alexei A. Efros
Aleksander Holynski
318
337
0
01 Jun 2023
Unsupervised Semantic Correspondence Using Stable Diffusion
Unsupervised Semantic Correspondence Using Stable DiffusionNeural Information Processing Systems (NeurIPS), 2023
Eric Hedlin
Gopal Sharma
Shweta Mahajan
Hossam N. Isack
Abhishek Kar
Andrea Tagliasacchi
K. M. Yi
DiffM
272
122
0
24 May 2023
A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot
  Semantic Correspondence
A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic CorrespondenceNeural Information Processing Systems (NeurIPS), 2023
Junyi Zhang
Charles Herrmann
Junhwa Hur
Luisa Polania Cabrera
Varun Jampani
Deqing Sun
Ming-Hsuan Yang
DiffM
278
272
0
24 May 2023
LaDI-VTON: Latent Diffusion Textual-Inversion Enhanced Virtual Try-On
LaDI-VTON: Latent Diffusion Textual-Inversion Enhanced Virtual Try-OnACM Multimedia (ACM MM), 2023
Davide Morelli
Alberto Baldrati
Giuseppe Cartella
Marcella Cornia
Marco Bertini
Rita Cucchiara
DiffM
335
165
0
22 May 2023
Common Diffusion Noise Schedules and Sample Steps are Flawed
Common Diffusion Noise Schedules and Sample Steps are FlawedIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Shanchuan Lin
Bingchen Liu
Jiashi Li
Xiao Yang
DiffM
291
276
0
15 May 2023
MasaCtrl: Tuning-Free Mutual Self-Attention Control for Consistent Image
  Synthesis and Editing
MasaCtrl: Tuning-Free Mutual Self-Attention Control for Consistent Image Synthesis and EditingIEEE International Conference on Computer Vision (ICCV), 2023
Ming Cao
Xintao Wang
Chen Ma
Ying Shan
Xiaohu Qie
Yinqiang Zheng
DiffM
192
640
0
17 Apr 2023
Inpaint Anything: Segment Anything Meets Image Inpainting
Inpaint Anything: Segment Anything Meets Image Inpainting
Tao Yu
Runsen Feng
Ruoyu Feng
Jinming Liu
Xin Jin
Wenjun Zeng
Zhibo Chen
DiffM
236
277
0
13 Apr 2023
Adding Conditional Control to Text-to-Image Diffusion Models
Adding Conditional Control to Text-to-Image Diffusion ModelsIEEE International Conference on Computer Vision (ICCV), 2023
Lvmin Zhang
Anyi Rao
Maneesh Agrawala
AI4CE
804
5,549
1
10 Feb 2023
RTMDet: An Empirical Study of Designing Real-Time Object Detectors
RTMDet: An Empirical Study of Designing Real-Time Object Detectors
Chengqi Lyu
Wenwei Zhang
Haian Huang
Yue Zhou
Yudong Wang
Yanyi Liu
Shilong Zhang
Kai-xiang Chen
ObjD
283
612
0
14 Dec 2022
SmartBrush: Text and Shape Guided Object Inpainting with Diffusion Model
SmartBrush: Text and Shape Guided Object Inpainting with Diffusion ModelComputer Vision and Pattern Recognition (CVPR), 2022
Shaoan Xie
Zhifei Zhang
Zhe Lin
Tobias Hinz
Kun Zhang
DiffM
205
307
0
09 Dec 2022
Paint by Example: Exemplar-based Image Editing with Diffusion Models
Paint by Example: Exemplar-based Image Editing with Diffusion ModelsComputer Vision and Pattern Recognition (CVPR), 2022
Binxin Yang
Shuyang Gu
Bo Zhang
Ting Zhang
Xuejin Chen
Xiaoyan Sun
Dong Chen
Fang Wen
DiffM
208
527
0
23 Nov 2022
Plug-and-Play Diffusion Features for Text-Driven Image-to-Image
  Translation
Plug-and-Play Diffusion Features for Text-Driven Image-to-Image TranslationComputer Vision and Pattern Recognition (CVPR), 2022
Narek Tumanyan
Michal Geyer
Shai Bagon
Tali Dekel
275
866
0
22 Nov 2022
DiffEdit: Diffusion-based semantic image editing with mask guidance
DiffEdit: Diffusion-based semantic image editing with mask guidanceInternational Conference on Learning Representations (ICLR), 2022
Guillaume Couairon
Jakob Verbeek
Holger Schwenk
Matthieu Cord
DiffM
309
636
0
20 Oct 2022
What the DAAM: Interpreting Stable Diffusion Using Cross Attention
What the DAAM: Interpreting Stable Diffusion Using Cross AttentionAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Raphael Tang
Linqing Liu
Akshat Pandey
Zhiying Jiang
Gefei Yang
K. Kumar
Pontus Stenetorp
Jimmy J. Lin
Ferhan Ture
406
220
0
10 Oct 2022
Prompt-to-Prompt Image Editing with Cross Attention Control
Prompt-to-Prompt Image Editing with Cross Attention ControlInternational Conference on Learning Representations (ICLR), 2022
Amir Hertz
Ron Mokady
J. Tenenbaum
Kfir Aberman
Yael Pritch
Daniel Cohen-Or
DiffM
599
2,252
0
02 Aug 2022
Classifier-Free Diffusion Guidance
Classifier-Free Diffusion Guidance
Jonathan Ho
Tim Salimans
FaML
402
5,117
0
26 Jul 2022
Photorealistic Text-to-Image Diffusion Models with Deep Language
  Understanding
Photorealistic Text-to-Image Diffusion Models with Deep Language UnderstandingNeural Information Processing Systems (NeurIPS), 2022
Chitwan Saharia
William Chan
Saurabh Saxena
Lala Li
Jay Whang
...
Raphael Gontijo-Lopes
Tim Salimans
Jonathan Ho
David J Fleet
Mohammad Norouzi
VLM
1.0K
7,306
0
23 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
VLMDiffM
767
8,126
0
13 Apr 2022
Perception Prioritized Training of Diffusion Models
Perception Prioritized Training of Diffusion ModelsComputer Vision and Pattern Recognition (CVPR), 2022
Jooyoung Choi
Jungbeom Lee
Chaehun Shin
Sungwon Kim
Hyunwoo J. Kim
Sung-Hoon Yoon
DiffM
241
318
0
01 Apr 2022
RePaint: Inpainting using Denoising Diffusion Probabilistic Models
RePaint: Inpainting using Denoising Diffusion Probabilistic ModelsComputer Vision and Pattern Recognition (CVPR), 2022
Andreas Lugmayr
Martin Danelljan
Andrés Romero
Feng Yu
Radu Timofte
Luc Van Gool
DiffM
815
1,794
0
24 Jan 2022
High-Resolution Image Synthesis with Latent Diffusion Models
High-Resolution Image Synthesis with Latent Diffusion ModelsComputer Vision and Pattern Recognition (CVPR), 2021
Robin Rombach
A. Blattmann
Dominik Lorenz
Patrick Esser
Bjorn Ommer
DiffM
1.2K
20,333
0
20 Dec 2021
GLIDE: Towards Photorealistic Image Generation and Editing with
  Text-Guided Diffusion Models
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion ModelsInternational Conference on Machine Learning (ICML), 2021
Alex Nichol
Prafulla Dhariwal
Aditya A. Ramesh
Pranav Shyam
Pamela Mishkin
Bob McGrew
Ilya Sutskever
Mark Chen
836
4,276
0
20 Dec 2021
Masked-attention Mask Transformer for Universal Image Segmentation
Masked-attention Mask Transformer for Universal Image Segmentation
Bowen Cheng
Ishan Misra
Alex Schwing
Alexander Kirillov
Rohit Girdhar
ISeg
887
3,157
0
02 Dec 2021
Blended Diffusion for Text-driven Editing of Natural Images
Blended Diffusion for Text-driven Editing of Natural Images
Omri Avrahami
Dani Lischinski
Ohad Fried
DiffM
446
1,106
0
29 Nov 2021
Palette: Image-to-Image Diffusion Models
Palette: Image-to-Image Diffusion ModelsInternational Conference on Computer Graphics and Interactive Techniques (SIGGRAPH), 2021
Chitwan Saharia
William Chan
Huiwen Chang
Chris A. Lee
Jonathan Ho
Tim Salimans
David J. Fleet
Mohammad Norouzi
DiffMVLM
922
1,944
0
10 Nov 2021
VITON-HD: High-Resolution Virtual Try-On via Misalignment-Aware
  Normalization
VITON-HD: High-Resolution Virtual Try-On via Misalignment-Aware NormalizationComputer Vision and Pattern Recognition (CVPR), 2021
Seunghwan Choi
Sunghyun Park
M. Lee
Jaegul Choo
DiffM
275
341
0
31 Mar 2021
Parser-Free Virtual Try-on via Distilling Appearance Flows
Parser-Free Virtual Try-on via Distilling Appearance FlowsComputer Vision and Pattern Recognition (CVPR), 2021
Yuying Ge
Yibing Song
Ruimao Zhang
Chongjian Ge
Wei Liu
Ping Luo
DiffM
121
223
0
08 Mar 2021
Learning Transferable Visual Models From Natural Language Supervision
Learning Transferable Visual Models From Natural Language SupervisionInternational Conference on Machine Learning (ICML), 2021
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
...
Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
CLIPVLM
1.9K
39,712
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Semantically Robust Unpaired Image Translation for Data with Unmatched
  Semantics Statistics
Semantically Robust Unpaired Image Translation for Data with Unmatched Semantics StatisticsIEEE International Conference on Computer Vision (ICCV), 2020
Zhiwei Jia
Bodi Yuan
Kangkang Wang
Hong Wu
David Clifford
Zhiqiang Yuan
Hao Su
VLM
289
25
0
09 Dec 2020
Denoising Diffusion Implicit Models
Denoising Diffusion Implicit ModelsInternational Conference on Learning Representations (ICLR), 2020
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Chenlin Meng
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Denoising Diffusion Probabilistic Models
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Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural
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Zifan Wang
Bradley Alexander
Fan Yang
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294
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Full-Gradient Representation for Neural Network Visualization
Full-Gradient Representation for Neural Network VisualizationNeural Information Processing Systems (NeurIPS), 2019
Suraj Srinivas
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RISE: Randomized Input Sampling for Explanation of Black-box Models
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FAtt
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SmoothGrad: removing noise by adding noise
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