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Continuous Concepts Removal in Text-to-image Diffusion Models
v1v2 (latest)

Continuous Concepts Removal in Text-to-image Diffusion Models

30 November 2024
Tingxu Han
Weisong Sun
Yanrong Hu
Chunrong Fang
Yonglong Zhang
Shiqing Ma
Tao Zheng
Zhenyu Chen
Zhenting Wang
    DiffM
ArXiv (abs)PDFHTMLGithub

Papers citing "Continuous Concepts Removal in Text-to-image Diffusion Models"

39 / 39 papers shown
Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression
Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression
Yiwei Xie
Ping Liu
Zheng Zhang
653
7
0
26 May 2025
Set You Straight: Auto-Steering Denoising Trajectories to Sidestep Unwanted Concepts
Set You Straight: Auto-Steering Denoising Trajectories to Sidestep Unwanted Concepts
Leyang Li
Shilin Lu
Yan Ren
A. Kong
DiffM
436
59
0
17 Apr 2025
Evaluating and Mitigating IP Infringement in Visual Generative AI
Evaluating and Mitigating IP Infringement in Visual Generative AI
Zhenting Wang
Chen Chen
Vikash Sehwag
Minzhou Pan
Lingjuan Lyu
EGVM
280
17
0
07 Jun 2024
How to Trace Latent Generative Model Generated Images without Artificial
  Watermark?
How to Trace Latent Generative Model Generated Images without Artificial Watermark?
Zhenting Wang
Vikash Sehwag
Chen Chen
Lingjuan Lyu
Dimitris N. Metaxas
Shiqing Ma
WIGM
320
23
0
22 May 2024
MACE: Mass Concept Erasure in Diffusion Models
MACE: Mass Concept Erasure in Diffusion ModelsComputer Vision and Pattern Recognition (CVPR), 2024
Shilin Lu
Zilan Wang
Leyang Li
Yanzhu Liu
A. Kong
DiffM
364
262
0
10 Mar 2024
One-Dimensional Adapter to Rule Them All: Concepts, Diffusion Models and
  Erasing Applications
One-Dimensional Adapter to Rule Them All: Concepts, Diffusion Models and Erasing Applications
Mengyao Lyu
Yuhong Yang
Haiwen Hong
Hui Chen
Xuan Jin
Yuan He
Hui Xue
Jungong Han
Guiguang Ding
DiffM
393
142
0
26 Dec 2023
Prompting4Debugging: Red-Teaming Text-to-Image Diffusion Models by Finding Problematic Prompts
Prompting4Debugging: Red-Teaming Text-to-Image Diffusion Models by Finding Problematic PromptsInternational Conference on Machine Learning (ICML), 2023
Zhi-Yi Chin
Chieh-Ming Jiang
Ching-Chun Huang
Pin-Yu Chen
Wei-Chen Chiu
DiffM
490
153
0
12 Sep 2023
Unified Concept Editing in Diffusion Models
Unified Concept Editing in Diffusion ModelsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Rohit Gandikota
Hadas Orgad
Yonatan Belinkov
Joanna Materzyñska
David Bau
DiffM
438
361
0
25 Aug 2023
OUTFOX: LLM-Generated Essay Detection Through In-Context Learning with
  Adversarially Generated Examples
OUTFOX: LLM-Generated Essay Detection Through In-Context Learning with Adversarially Generated ExamplesAAAI Conference on Artificial Intelligence (AAAI), 2023
Ryuto Koike
Masahiro Kaneko
Naoaki Okazaki
DeLMO
466
144
0
21 Jul 2023
Llama 2: Open Foundation and Fine-Tuned Chat Models
Llama 2: Open Foundation and Fine-Tuned Chat Models
Hugo Touvron
Louis Martin
Kevin R. Stone
Peter Albert
Amjad Almahairi
...
Sharan Narang
Aurelien Rodriguez
Robert Stojnic
Sergey Edunov
Thomas Scialom
AI4MHALM
12.5K
16,448
0
18 Jul 2023
RAPHAEL: Text-to-Image Generation via Large Mixture of Diffusion Paths
RAPHAEL: Text-to-Image Generation via Large Mixture of Diffusion PathsNeural Information Processing Systems (NeurIPS), 2023
Zeyue Xue
Guanglu Song
Qiushan Guo
Boxiao Liu
Zhuofan Zong
Yu Liu
Ping Luo
DiffM
758
180
0
29 May 2023
Forget-Me-Not: Learning to Forget in Text-to-Image Diffusion Models
Forget-Me-Not: Learning to Forget in Text-to-Image Diffusion Models
Eric Zhang
Kai Wang
Xingqian Xu
Zinan Lin
Humphrey Shi
DiffM
503
306
0
30 Mar 2023
AI-Generated Content (AIGC): A Survey
AI-Generated Content (AIGC): A Survey
Jiayang Wu
Wensheng Gan
Zefeng Chen
Shicheng Wan
Hong Lin
3DV
361
197
0
26 Mar 2023
Ablating Concepts in Text-to-Image Diffusion Models
Ablating Concepts in Text-to-Image Diffusion ModelsIEEE International Conference on Computer Vision (ICCV), 2023
Nupur Kumari
Bin Zhang
Sheng-Yu Wang
Eli Shechtman
Richard Y. Zhang
Jun-Yan Zhu
VLM
722
324
0
23 Mar 2023
Erasing Concepts from Diffusion Models
Erasing Concepts from Diffusion ModelsIEEE International Conference on Computer Vision (ICCV), 2023
Rohit Gandikota
Joanna Materzyñska
Jaden Fiotto-Kaufman
David Bau
DiffM
713
527
0
13 Mar 2023
Consistency Models
Consistency ModelsInternational Conference on Machine Learning (ICML), 2023
Yang Song
Prafulla Dhariwal
Mark Chen
Ilya Sutskever
VLMDiffM
769
1,700
0
02 Mar 2023
LLaMA: Open and Efficient Foundation Language Models
LLaMA: Open and Efficient Foundation Language Models
Hugo Touvron
Thibaut Lavril
Gautier Izacard
Xavier Martinet
Marie-Anne Lachaux
...
Faisal Azhar
Aurelien Rodriguez
Armand Joulin
Edouard Grave
Guillaume Lample
ALMPILM
20.2K
19,547
0
27 Feb 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
1.2K
6,666
1
10 Feb 2023
Extracting Training Data from Diffusion Models
Extracting Training Data from Diffusion ModelsUSENIX Security Symposium (USENIX Security), 2023
Nicholas Carlini
Jamie Hayes
Milad Nasr
Matthew Jagielski
Vikash Sehwag
Florian Tramèr
Borja Balle
Daphne Ippolito
Eric Wallace
DiffM
654
898
0
30 Jan 2023
Safe Latent Diffusion: Mitigating Inappropriate Degeneration in
  Diffusion Models
Safe Latent Diffusion: Mitigating Inappropriate Degeneration in Diffusion ModelsComputer Vision and Pattern Recognition (CVPR), 2022
P. Schramowski
Manuel Brack
Bjorn Deiseroth
Kristian Kersting
655
525
0
09 Nov 2022
How well can Text-to-Image Generative Models understand Ethical Natural
  Language Interventions?
How well can Text-to-Image Generative Models understand Ethical Natural Language Interventions?Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Hritik Bansal
Da Yin
Masoud Monajatipoor
Kai-Wei Chang
306
135
0
27 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 modelsNeural Information Processing Systems (NeurIPS), 2022
Christoph Schuhmann
Romain Beaumont
Richard Vencu
Cade Gordon
Ross Wightman
...
Srivatsa Kundurthy
Katherine Crowson
Ludwig Schmidt
R. Kaczmarczyk
J. Jitsev
VLMMLLMCLIP
1.5K
4,964
0
16 Oct 2022
DE-FAKE: Detection and Attribution of Fake Images Generated by
  Text-to-Image Generation Models
DE-FAKE: Detection and Attribution of Fake Images Generated by Text-to-Image Generation ModelsConference on Computer and Communications Security (CCS), 2022
Zeyang Sha
Zheng Li
Ning Yu
Yang Zhang
DiffM
334
233
0
13 Oct 2022
Can There be Art Without an Artist?
Can There be Art Without an Artist?
A. Ghosh
Genoveva Fossas
245
32
0
16 Sep 2022
Scaling Autoregressive Models for Content-Rich Text-to-Image Generation
Scaling Autoregressive Models for Content-Rich Text-to-Image Generation
Jiahui Yu
Yuanzhong Xu
Jing Yu Koh
Thang Luong
Gunjan Baid
...
Zarana Parekh
Xin Li
Han Zhang
Jason Baldridge
Yonghui Wu
EGVM
1.1K
1,447
0
22 Jun 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
1.5K
8,076
0
23 May 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
4.8K
23,881
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
1.4K
4,672
0
20 Dec 2021
CLIPScore: A Reference-free Evaluation Metric for Image Captioning
CLIPScore: A Reference-free Evaluation Metric for Image CaptioningConference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Jack Hessel
Ari Holtzman
Maxwell Forbes
Ronan Le Bras
Yejin Choi
CLIP
1.2K
2,636
0
18 Apr 2021
Knowledge Neurons in Pretrained Transformers
Knowledge Neurons in Pretrained TransformersAnnual Meeting of the Association for Computational Linguistics (ACL), 2021
Damai Dai
Li Dong
Y. Hao
Zhifang Sui
Baobao Chang
Furu Wei
KELMMU
719
631
0
18 Apr 2021
Few-shot Image Generation via Cross-domain Correspondence
Few-shot Image Generation via Cross-domain CorrespondenceComputer Vision and Pattern Recognition (CVPR), 2021
Utkarsh Ojha
Yijun Li
Jingwan Lu
Alexei A. Efros
Yong Jae Lee
Eli Shechtman
Richard Y. Zhang
400
311
0
13 Apr 2021
Zero-Shot Text-to-Image Generation
Zero-Shot Text-to-Image GenerationInternational Conference on Machine Learning (ICML), 2021
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
1.1K
6,306
0
24 Feb 2021
Towards Faster and Stabilized GAN Training for High-fidelity Few-shot
  Image Synthesis
Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image SynthesisInternational Conference on Learning Representations (ICLR), 2021
Bingchen Liu
Yizhe Zhu
Kunpeng Song
Ahmed Elgammal
621
306
0
12 Jan 2021
Training Generative Adversarial Networks with Limited Data
Training Generative Adversarial Networks with Limited DataNeural Information Processing Systems (NeurIPS), 2020
Tero Karras
M. Aittala
Janne Hellsten
S. Laine
J. Lehtinen
Timo Aila
GAN
825
2,213
0
11 Jun 2020
Controllable Text-to-Image Generation
Controllable Text-to-Image GenerationNeural Information Processing Systems (NeurIPS), 2019
Bowen Li
Xiaojuan Qi
Thomas Lukasiewicz
Juil Sock
GAN
364
416
0
16 Sep 2019
Generative Adversarial Text to Image Synthesis
Generative Adversarial Text to Image Synthesis
Scott E. Reed
Zeynep Akata
Xinchen Yan
Lajanugen Logeswaran
Bernt Schiele
Honglak Lee
GAN
671
3,378
0
17 May 2016
Training Region-based Object Detectors with Online Hard Example Mining
Training Region-based Object Detectors with Online Hard Example Mining
Abhinav Shrivastava
Abhinav Gupta
Ross B. Girshick
ObjD
883
2,646
0
12 Apr 2016
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition ChallengeInternational Journal of Computer Vision (IJCV), 2014
Olga Russakovsky
Gaowen Liu
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLMObjD
3.7K
42,317
0
01 Sep 2014
Mini-Batch Primal and Dual Methods for SVMs
Mini-Batch Primal and Dual Methods for SVMsInternational Conference on Machine Learning (ICML), 2013
Martin Takáč
A. Bijral
Peter Richtárik
Nathan Srebro
260
195
0
10 Mar 2013
1
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