Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion Models

7 December 2022

Papers citing "Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion Models"

50 / 51 papers shown

Title
Enhancing Privacy-Utility Trade-offs to Mitigate Memorization in Diffusion Models C. L. P. Chen Daochang Liu M. Shah Chang Xu 57 1 0 25 Apr 2025
Generalization through variance: how noise shapes inductive biases in diffusion models John J. Vastola DiffM 60 1 0 16 Apr 2025
DiverseFlow: Sample-Efficient Diverse Mode Coverage in Flows Mashrur M. Morshed Vishnu Boddeti 33 0 0 10 Apr 2025
Efficient Fine-Tuning and Concept Suppression for Pruned Diffusion Models Reza Shirkavand Peiran Yu Shangqian Gao Gowthami Somepalli Tom Goldstein Heng-Chiao Huang 103 1 0 13 Mar 2025
On the Generalization Properties of Diffusion Models Puheng Li Zhong Li Huishuai Zhang Jiang Bian 64 29 0 13 Mar 2025
On Memorization in Diffusion Models Xiangming Gu Chao Du Tianyu Pang Chongxuan Li Min-Bin Lin Ye Wang DiffM TDI 161 43 0 21 Feb 2025
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 114 2 0 21 Feb 2025
A Comprehensive Survey on Concept Erasure in Text-to-Image Diffusion Models Changhoon Kim Yanjun Qi DiffM 33 1 0 17 Feb 2025
Social Science Is Necessary for Operationalizing Socially Responsible Foundation Models Adam Davies Elisa Nguyen Michael Simeone Erik Johnston Martin Gubri 76 0 0 20 Dec 2024
Classifier-Free Guidance inside the Attraction Basin May Cause Memorization Anubhav Jain Yuya Kobayashi Takashi Shibuya Yuhta Takida N. Memon Julian Togelius Yuki Mitsufuji DiffM 99 2 0 23 Nov 2024
A Geometric Framework for Understanding Memorization in Generative Models Brendan Leigh Ross Hamidreza Kamkari Tongzi Wu Rasa Hosseinzadeh Zhaoyan Liu George Stein Jesse C. Cresswell G. Loaiza-Ganem 36 6 0 31 Oct 2024
Exploring Local Memorization in Diffusion Models via Bright Ending Attention C. L. P. Chen Daochang Liu M. Shah Chang Xu 49 3 0 29 Oct 2024
Investigating Memorization in Video Diffusion Models C. L. P. Chen Enhuai Liu Daochang Liu M. Shah Chang Xu VGen DiffM 69 1 0 29 Oct 2024
Diffusion Attribution Score: Evaluating Training Data Influence in Diffusion Models Jinxu Lin Linwei Tao Minjing Dong Chang Xu TDI 36 2 0 24 Oct 2024
Risks When Sharing LoRA Fine-Tuned Diffusion Model Weights Dixi Yao 15 1 0 13 Sep 2024
RLCP: A Reinforcement Learning-based Copyright Protection Method for Text-to-Image Diffusion Model Zhuan Shi Jing Yan Xiaoli Tang Lingjuan Lyu Boi Faltings 23 1 0 29 Aug 2024
ProCreate, Don't Reproduce! Propulsive Energy Diffusion for Creative Generation Jack Lu Ryan Teehan Mengye Ren DiffM 27 3 0 05 Aug 2024
Iterative Ensemble Training with Anti-Gradient Control for Mitigating Memorization in Diffusion Models Xiao Liu Xiaoliu Guan Yu Wu Jiaxu Miao 24 7 0 22 Jul 2024
Six-CD: Benchmarking Concept Removals for Benign Text-to-image Diffusion Models Jie Ren Kangrui Chen Yingqian Cui Shenglai Zeng Hui Liu Yue Xing Jiliang Tang Lingjuan Lyu 27 1 0 21 Jun 2024
Fantastic Copyrighted Beasts and How (Not) to Generate Them Luxi He Yangsibo Huang Weijia Shi Tinghao Xie Haotian Liu Yue Wang Luke Zettlemoyer Chiyuan Zhang Danqi Chen Peter Henderson 39 9 0 20 Jun 2024
Gradient Inversion of Federated Diffusion Models Jiyue Huang Chi Hong Lydia Y. Chen Stefanie Roos FedML 24 1 0 30 May 2024
Hide and Seek: How Does Watermarking Impact Face Recognition? Yuguang Yao Steven Grosz Sijia Liu Anil K. Jain 32 1 0 29 Apr 2024
Ambient Diffusion Posterior Sampling: Solving Inverse Problems with Diffusion Models Trained on Corrupted Data Asad Aali Giannis Daras Brett Levac Sidharth Kumar Alexandros G. Dimakis Jonathan I. Tamir MedIm 54 9 0 13 Mar 2024
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 32 1,047 0 05 Mar 2024
On the Challenges and Opportunities in Generative AI Laura Manduchi Kushagra Pandey Robert Bamler Ryan Cotterell Sina Daubener ... F. Wenzel Frank Wood Stephan Mandt Vincent Fortuin Vincent Fortuin 51 17 0 28 Feb 2024
PQMass: Probabilistic Assessment of the Quality of Generative Models using Probability Mass Estimation Pablo Lemos Sammy N. Sharief Nikolay Malkin Laurence Perreault Levasseur Y. Hezaveh Laurence Perreault-Levasseur Yashar Hezaveh 13 3 0 06 Feb 2024
IntentTuner: An Interactive Framework for Integrating Human Intents in Fine-tuning Text-to-Image Generative Models Xingchen Zeng Ziyao Gao Yilin Ye Wei Zeng 12 12 0 28 Jan 2024
Understanding (Un)Intended Memorization in Text-to-Image Generative Models Ali Naseh Jaechul Roh Amir Houmansadr DiffM 12 6 0 06 Dec 2023
Reinforcement Learning from Diffusion Feedback: Q* for Image Search Aboli Rajan Marathe VLM 30 0 0 27 Nov 2023
My Art My Choice: Adversarial Protection Against Unruly AI Anthony Rhodes Ram Bhagat U. Ciftci Ilke Demir DiffM 20 4 0 06 Sep 2023
AI-Generated Content (AIGC) for Various Data Modalities: A Survey Lin Geng Foo Hossein Rahmani J. Liu 57 30 0 27 Aug 2023
Statistically Optimal Generative Modeling with Maximum Deviation from the Empirical Distribution Elen Vardanyan Sona Hunanyan T. Galstyan A. Minasyan A. Dalalyan 16 2 0 31 Jul 2023
Deconstructing Data Reconstruction: Multiclass, Weight Decay and General Losses G. Buzaglo Niv Haim Gilad Yehudai Gal Vardi Yakir Oz Yaniv Nikankin Michal Irani 16 10 0 04 Jul 2023
When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions Weiming Zhuang Chen Chen Lingjuan Lyu C. L. P. Chen Yaochu Jin Lingjuan Lyu AIFin AI4CE 83 84 0 27 Jun 2023
Set-Membership Inference Attacks using Data Watermarking M. Laszkiewicz Denis Lukovnikov Johannes Lederer Asja Fischer WIGM TDI 15 2 0 22 Jun 2023
Conditionally Strongly Log-Concave Generative Models Florentin Guth Etienne Lempereur Joan Bruna S. Mallat 22 3 0 31 May 2023
Understanding and Mitigating Copying in Diffusion Models Gowthami Somepalli Vasu Singla Micah Goldblum Jonas Geiping Tom Goldstein DiffM 11 124 0 31 May 2023
Ambient Diffusion: Learning Clean Distributions from Corrupted Data Giannis Daras Kulin Shah Y. Dagan Aravind Gollakota A. Dimakis Adam R. Klivans DiffM 28 64 0 30 May 2023
EKILA: Synthetic Media Provenance and Attribution for Generative Art Kar Balan S. Agarwal Simon Jenni Andy Parsons Andrew Gilbert John Collomosse 9 12 0 10 Apr 2023
Forget-Me-Not: Learning to Forget in Text-to-Image Diffusion Models Eric Zhang Kai Wang Xingqian Xu Zhangyang Wang Humphrey Shi DiffM 33 169 0 30 Mar 2023
Aerial Diffusion: Text Guided Ground-to-Aerial View Translation from a Single Image using Diffusion Models D. Kothandaraman Tianyi Zhou Ming Lin Dinesh Manocha 21 5 0 15 Mar 2023
A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT Yihan Cao Siyu Li Yixin Liu Zhiling Yan Yutong Dai Philip S. Yu Lichao Sun 19 493 0 07 Mar 2023
Multiscale Structure Guided Diffusion for Image Deblurring Mengwei Ren M. Delbracio Hossein Talebi Guido Gerig P. Milanfar DiffM 13 56 0 04 Dec 2022
When do GANs replicate? On the choice of dataset size Qianli Feng Chen Guo Fabian Benitez-Quiroz Aleix M. Martinez 136 54 0 23 Feb 2022
Plug-In Inversion: Model-Agnostic Inversion for Vision with Data Augmentations Amin Ghiasi Hamid Kazemi Steven Reich Chen Zhu Micah Goldblum Tom Goldstein 29 15 0 31 Jan 2022
RePaint: Inpainting using Denoising Diffusion Probabilistic Models Andreas Lugmayr Martin Danelljan Andrés Romero F. I. F. Richard Yu Radu Timofte Luc Van Gool DiffM 203 1,330 0 24 Jan 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,337 0 11 Nov 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 283 5,723 0 29 Apr 2021
How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models Ahmed Alaa B. V. Breugel Evgeny S. Saveliev M. Schaar 38 186 0 17 Feb 2021
Extracting Training Data from Large Language Models Nicholas Carlini Florian Tramèr Eric Wallace Matthew Jagielski Ariel Herbert-Voss ... Tom B. Brown D. Song Ulfar Erlingsson Alina Oprea Colin Raffel MLAU SILM 267 1,798 0 14 Dec 2020