A Self-Supervised Descriptor for Image Copy Detection

21 February 2022

Ed Pizzi

Sreya . Dutta Roy

Sugosh Nagavara Ravindra

Papers citing "A Self-Supervised Descriptor for Image Copy Detection"

50 / 93 papers shown

Title
Safer Prompts: Reducing IP Risk in Visual Generative AI Lena Reissinger Yuanyuan Li Anna-Carolina Haensch Neeraj Sarna 23 0 0 06 May 2025
Using Knowledge Graphs to harvest datasets for efficient CLIP model training Simon Ging Sebastian Walter Jelena Bratulić Johannes Dienert Hannah Bast Thomas Brox CLIP 20 0 0 05 May 2025
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
SkyReels-V2: Infinite-length Film Generative Model Guibin Chen D. Lin Jiangping Yang Chunze Lin J. Zhu ... Di Qiu Debang Li Zhengcong Fei Yang Li Yahui Zhou DiffM VGen 47 1 0 17 Apr 2025
Data Unlearning in Diffusion Models Silas Alberti Kenan Hasanaliyev Manav Shah Stefano Ermon DiffM MU 34 1 0 02 Mar 2025
Quality-Driven Curation of Remote Sensing Vision-Language Data via Learned Scoring Models Dilxat Muhtar Enzhuo Zhang Zhenshi Li Feng-Xue Gu Yanglangxing He P. Xiao Xueliang Zhang 36 2 0 02 Mar 2025
SolidMark: Evaluating Image Memorization in Generative Models Nicky Kriplani Minh Pham Gowthami Somepalli Chinmay Hegde Niv Cohen VLM 37 1 0 01 Mar 2025
Machine learning and high dimensional vector search Matthijs Douze 58 0 0 24 Feb 2025
CopyJudge: Automated Copyright Infringement Identification and Mitigation in Text-to-Image Diffusion Models Shunchang Liu Zhuan Shi Lingjuan Lyu Yaochu Jin Boi Faltings 55 2 0 24 Feb 2025
Does Training with Synthetic Data Truly Protect Privacy? Yunpeng Zhao Jie Zhang 80 0 0 18 Feb 2025
Counteracting temporal attacks in Video Copy Detection Katarzyna Fojcik Piotr Syga AAML 33 0 0 19 Jan 2025
Lossless Compression of Vector IDs for Approximate Nearest Neighbor Search Daniel de Souza Severo Giuseppe Ottaviano Matthew Muckley Karen Ullrich Matthijs Douze MQ 41 0 0 16 Jan 2025
IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features Anand Kumar Jiteng Mu Nuno Vasconcelos DiffM 72 0 0 19 Dec 2024
GEM: A Generalizable Ego-Vision Multimodal World Model for Fine-Grained Ego-Motion, Object Dynamics, and Scene Composition Control Mariam Hassan Sebastian Stapf Ahmad Rahimi Pedro M B Rezende Yasaman Haghighi ... Mathieu Salzmann Davide Scaramuzza Marc Pollefeys Paolo Favaro Alexandre Alahi VLM VGen 69 5 0 15 Dec 2024
CopyrightShield: Spatial Similarity Guided Backdoor Defense against Copyright Infringement in Diffusion Models Zhixiang Guo Siyuan Liang Aishan Liu Dacheng Tao AAML 69 1 0 02 Dec 2024
LoyalDiffusion: A Diffusion Model Guarding Against Data Replication Chenghao Li Yuke Zhang Dake Chen Jingqi Xu P. Beerel 63 0 0 02 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 104 2 0 23 Nov 2024
TIP-I2V: A Million-Scale Real Text and Image Prompt Dataset for Image-to-Video Generation Wenhao Wang Y. Yang VGen 45 3 0 05 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 40 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 57 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 76 1 0 29 Oct 2024
Dual-Model Defense: Safeguarding Diffusion Models from Membership Inference Attacks through Disjoint Data Splitting Bao Q. Tran Viet Anh Nguyen Anh Tran Toan M. Tran 26 0 0 22 Oct 2024
Revealing the Unseen: Guiding Personalized Diffusion Models to Expose Training Data Xiaoyu Wu Jiaru Zhang Steven Wu 33 1 0 03 Oct 2024
Towards a Theoretical Understanding of Memorization in Diffusion Models Yunhao Chen Xingjun Ma Difan Zou Yu-Gang Jiang DiffM 36 5 0 03 Oct 2024
Image Copy Detection for Diffusion Models Wenhao Wang Yifan Sun Zhentao Tan Yi Yang 25 1 0 30 Sep 2024
Training Data Attribution: Was Your Model Secretly Trained On Data Created By Mine? Likun Zhang Hao Wu L. Zhang Fengyuan Xu Jin Cao Fenghua Li Ben Niu TDI 18 1 0 24 Sep 2024
ImPoster: Text and Frequency Guidance for Subject Driven Action Personalization using Diffusion Models D. Kothandaraman Kuldeep Kulkarni Sumit Shekhar Balaji Vasan Srinivasan Dinesh Manocha DiffM 41 1 0 24 Sep 2024
Unlearning or Concealment? A Critical Analysis and Evaluation Metrics for Unlearning in Diffusion Models Aakash Sen Sharma Niladri Sarkar Vikram S Chundawat Ankur Mali Murari Mandal DiffM MU 27 4 0 09 Sep 2024
Cross-Domain Foundation Model Adaptation: Pioneering Computer Vision Models for Geophysical Data Analysis Zhixiang Guo Xinming Wu Luming Liang Hanlin Sheng Nuo Chen Zhengfa Bi AI4CE 43 1 0 22 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
Detecting, Explaining, and Mitigating Memorization in Diffusion Models Yuxin Wen Yuchen Liu Chen Chen Lingjuan Lyu 29 51 0 31 Jul 2024
Embedding Space Selection for Detecting Memorization and Fingerprinting in Generative Models Jack He Jianxing Zhao Andrew Bai Cho-Jui Hsieh 43 0 0 30 Jul 2024
FiCo-ITR: bridging fine-grained and coarse-grained image-text retrieval for comparative performance analysis Mikel Williams-Lekuona Georgina Cosma 30 0 0 29 Jul 2024
MemBench: Memorized Image Trigger Prompt Dataset for Diffusion Models Chunsan Hong Tae-Hyun Oh Minhyuk Sung VLM EGVM 29 0 0 24 Jul 2024
Not All Pairs are Equal: Hierarchical Learning for Average-Precision-Oriented Video Retrieval Yang Liu Qianqian Xu Peisong Wen Siran Dai Qingming Huang 28 0 0 22 Jul 2024
Iterative Ensemble Training with Anti-Gradient Control for Mitigating Memorization in Diffusion Models Xiao Liu Xiaoliu Guan Yu Wu Jiaxu Miao 33 7 0 22 Jul 2024
EndoFinder: Online Image Retrieval for Explainable Colorectal Polyp Diagnosis Ruijie Yang Yan Zhu Peiyao Fu Yizhe Zhang Zhihua Wang Quanlin Li Pinghong Zhou Xian Yang Shuo Wang MedIm 21 0 0 16 Jul 2024
Replication in Visual Diffusion Models: A Survey and Outlook Wenhao Wang Yifan Sun Zongxin Yang Zhengdong Hu Zhentao Tan Yi Yang 68 6 0 07 Jul 2024
Precision at Scale: Domain-Specific Datasets On-Demand Jesús M. Rodríguez-de-Vera Imanol G. Estepa Ignacio Sarasúa Bhalaji Nagarajan P. Radeva 34 2 0 03 Jul 2024
EnTruth: Enhancing the Traceability of Unauthorized Dataset Usage in Text-to-image Diffusion Models with Minimal and Robust Alterations Jie Ren Yingqian Cui Chen Chen Vikash Sehwag Yue Xing Jiliang Tang Lingjuan Lyu WIGM 27 1 0 20 Jun 2024
Large-Scale Dataset Pruning in Adversarial Training through Data Importance Extrapolation Bjorn Nieth Thomas Altstidl Leo Schwinn Björn Eskofier AAML 29 2 0 19 Jun 2024
Words Worth a Thousand Pictures: Measuring and Understanding Perceptual Variability in Text-to-Image Generation Raphael Tang Xinyu Crystina Zhang Lixinyu Xu Yao Lu Wenyan Li Pontus Stenetorp Jimmy Lin Ferhan Ture 23 0 0 12 Jun 2024
Finding NeMo: Localizing Neurons Responsible For Memorization in Diffusion Models Dominik Hintersdorf Lukas Struppek Kristian Kersting Adam Dziedzic Franziska Boenisch 21 11 0 04 Jun 2024
Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling Jiatao Gu Ying Shen Shuangfei Zhai Yizhe Zhang Navdeep Jaitly J. Susskind 42 10 0 31 May 2024
Relational Self-supervised Distillation with Compact Descriptors for Image Copy Detection Juntae Kim Sungwon Woo Jongho Nang 14 1 0 28 May 2024
Automatic Data Curation for Self-Supervised Learning: A Clustering-Based Approach Huy V. Vo Vasil Khalidov Timothée Darcet Théo Moutakanni Nikita Smetanin ... Maxime Oquab Armand Joulin Hervé Jégou Patrick Labatut Piotr Bojanowski SSL 48 18 0 24 May 2024
U Can't Gen This? A Survey of Intellectual Property Protection Methods for Data in Generative AI Tanja Sarcevic Alicja Karlowicz Rudolf Mayer Ricardo A. Baeza-Yates Andreas Rauber 40 5 0 22 Apr 2024
Rethinking Artistic Copyright Infringements in the Era of Text-to-Image Generative Models Mazda Moayeri Samyadeep Basu S. Balasubramanian Priyatham Kattakinda Atoosa Malemir Chegini R. Brauneis S. Feizi WIGM 36 4 0 11 Apr 2024
Measuring Style Similarity in Diffusion Models Gowthami Somepalli Anubhav Gupta Kamal Gupta Shramay Palta Micah Goldblum Jonas Geiping Abhinav Shrivastava Tom Goldstein EGVM 40 35 0 01 Apr 2024
Towards Memorization-Free Diffusion Models Chen Chen Daochang Liu Chang Xu VLM 24 25 0 01 Apr 2024