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 / 78 papers shown

Title
MelodySim: Measuring Melody-aware Music Similarity for Plagiarism Detection Tongyu Lu Charlotta-Marlena Geist J. Melechovský Abhinaba Roy Dorien Herremans 7 0 0 27 May 2025
Generalization through variance: how noise shapes inductive biases in diffusion models John J. Vastola DiffM 381 3 0 16 Apr 2025
DiverseFlow: Sample-Efficient Diverse Mode Coverage in Flows Mashrur M. Morshed Vishnu Boddeti 63 0 0 10 Apr 2025
CRCE: Coreference-Retention Concept Erasure in Text-to-Image Diffusion Models Yuyang Xue Edward Moroshko Feng Chen Jingyu Sun Steven McDonagh Sotirios A. Tsaftaris 67 2 0 18 Mar 2025
Efficient Fine-Tuning and Concept Suppression for Pruned Diffusion Models Reza Shirkavand Peiran Yu Shangqian Gao Gowthami Somepalli Tom Goldstein Heng-Chiao Huang 148 2 0 13 Mar 2025
On the Generalization Properties of Diffusion Models Puheng Li Zhong Li Huishuai Zhang Jiang Bian 111 32 0 13 Mar 2025
On the Vulnerability of Concept Erasure in Diffusion Models Lucas Beerens Alex D. Richardson Peng Sun Dongdong Chen DiffM 121 2 0 24 Feb 2025
On Memorization in Diffusion Models Xiangming Gu Chao Du Tianyu Pang Chongxuan Li Min Lin Ye Wang DiffM TDI 234 47 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 151 2 0 21 Feb 2025
Social Science Is Necessary for Operationalizing Socially Responsible Foundation Models Adam Davies Elisa Nguyen Michael Simeone Erik Johnston Martin Gubri 142 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 131 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 Gabriel Loaiza-Ganem 78 7 0 31 Oct 2024
Exploring Local Memorization in Diffusion Models via Bright Ending Attention Chong Chen Daochang Liu M. Shah Chang Xu 110 4 0 29 Oct 2024
Investigating Memorization in Video Diffusion Models Chong Chen Enhuai Liu Daochang Liu M. Shah Chang Xu VGen DiffM 93 1 0 29 Oct 2024
Diffusion Attribution Score: Evaluating Training Data Influence in Diffusion Models Jinxu Lin Linwei Tao Minjing Dong Chang Xu TDI 56 2 0 24 Oct 2024
Iterative Ensemble Training with Anti-Gradient Control for Mitigating Memorization in Diffusion Models Xiao Liu Xiaoliu Guan Yu Wu Jiaxu Miao 55 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 70 2 0 21 Jun 2024
Stylebreeder: Exploring and Democratizing Artistic Styles through Text-to-Image Models Matthew Zheng Enis Simsar Hidir Yesiltepe Federico Tombari Joel Simon Pinar Yanardag 87 3 0 20 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 63 9 0 20 Jun 2024
mOSCAR: A Large-scale Multilingual and Multimodal Document-level Corpus Matthieu Futeral A. Zebaze Pedro Ortiz Suarez Julien Abadji Rémi Lacroix Cordelia Schmid Rachel Bawden Benoît Sagot 83 3 0 13 Jun 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 81 15 0 13 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 130 18 0 28 Feb 2024
AI-Generated Content (AIGC) for Various Data Modalities: A Survey Lin Geng Foo Hossein Rahmani Jing Liu 118 31 0 27 Aug 2023
When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions Weiming Zhuang Chen Chen Lingjuan Lyu Chong Chen Yaochu Jin Lingjuan Lyu AIFin AI4CE 118 93 0 27 Jun 2023
Boosting vision transformers for image retrieval Chull Hwan Song Jooyoung Yoon Shunghyun Choi Yannis Avrithis ViT 66 33 0 21 Oct 2022
Canary in a Coalmine: Better Membership Inference with Ensembled Adversarial Queries Yuxin Wen Arpit Bansal Hamid Kazemi Eitan Borgnia Micah Goldblum Jonas Geiping Tom Goldstein MIACV 58 30 0 19 Oct 2022
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 VLM MLLM CLIP 118 3,355 0 16 Oct 2022
VICRegL: Self-Supervised Learning of Local Visual Features Adrien Bardes Jean Ponce Yann LeCun SSL 53 121 0 04 Oct 2022
Measuring Forgetting of Memorized Training Examples Matthew Jagielski Om Thakkar Florian Tramèr Daphne Ippolito Katherine Lee ... Eric Wallace Shuang Song Abhradeep Thakurta Nicolas Papernot Chiyuan Zhang TDI 98 105 0 30 Jun 2022
Memorization Without Overfitting: Analyzing the Training Dynamics of Large Language Models Kushal Tirumala Aram H. Markosyan Luke Zettlemoyer Armen Aghajanyan TDI 85 191 0 22 May 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents Aditya A. Ramesh Prafulla Dhariwal Alex Nichol Casey Chu Mark Chen VLM DiffM 276 6,768 0 13 Apr 2022
When do GANs replicate? On the choice of dataset size Qianli Feng Chen Guo Fabian Benitez-Quiroz Aleix M. Martinez 168 54 0 23 Feb 2022
A Self-Supervised Descriptor for Image Copy Detection Ed Pizzi Sreya . Dutta Roy Sugosh Nagavara Ravindra Priya Goyal Matthijs Douze SSL 52 123 0 21 Feb 2022
Quantifying Memorization Across Neural Language Models Nicholas Carlini Daphne Ippolito Matthew Jagielski Katherine Lee Florian Tramèr Chiyuan Zhang PILM 71 603 0 15 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 71 15 0 31 Jan 2022
RePaint: Inpainting using Denoising Diffusion Probabilistic Models Andreas Lugmayr Martin Danelljan Andrés Romero Feng Yu Radu Timofte Luc Van Gool DiffM 308 1,385 0 24 Jan 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 245 15,081 0 20 Dec 2021
Membership Inference Attacks From First Principles Nicholas Carlini Steve Chien Milad Nasr Shuang Song Andreas Terzis Florian Tramèr MIACV MIALM 41 663 0 07 Dec 2021
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 366 7,600 0 11 Nov 2021
Self-supervised Product Quantization for Deep Unsupervised Image Retrieval Young Kyun Jang N. Cho MQ 27 66 0 06 Sep 2021
This Person (Probably) Exists. Identity Membership Attacks Against GAN Generated Faces Ryan Webster Julien Rabin Loïc Simon F. Jurie CVBM PICV 36 33 0 13 Jul 2021
The 2021 Image Similarity Dataset and Challenge Matthijs Douze Giorgos Tolias Ed Pizzi Zoe Papakipos L. Chanussot ... Maxim Maximov Laura Leal-Taixé Ismail Elezi Ondřej Chum Cristian Canton Ferrer 43 60 0 17 Jun 2021
On Training Sample Memorization: Lessons from Benchmarking Generative Modeling with a Large-scale Competition C. Bai Hsuan-Tien Lin Colin Raffel Wendy Kan 28 35 0 06 Jun 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 547 5,920 0 29 Apr 2021
An Empirical Study of Training Self-Supervised Vision Transformers Xinlei Chen Saining Xie Kaiming He ViT 119 1,837 0 05 Apr 2021
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 286 21,051 0 25 Mar 2021
ALADIN: All Layer Adaptive Instance Normalization for Fine-grained Style Similarity Dan Ruta Saeid Motiian Baldo Faieta Zhe Lin Hailin Jin Alex Filipkowski Andrew Gilbert John Collomosse AI4CE 44 32 0 17 Mar 2021
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 CLIP VLM 656 28,659 0 26 Feb 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 81 189 0 17 Feb 2021
Training Vision Transformers for Image Retrieval Alaaeldin El-Nouby Natalia Neverova Ivan Laptev Hervé Jégou ViT 95 157 0 10 Feb 2021