Title
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One-to-Normal: Anomaly Personalization for Few-shot Anomaly Detection Yiyue Li Shaoting Zhang Kang Li Qicheng Lao 79 0 0 03 Feb 2025
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From Majority to Minority: A Diffusion-based Augmentation for Underrepresented Groups in Skin Lesion Analysis Janet Wang Yunsung Chung Zhengming Ding Jihun Hamm MedIm DiffM 37 1 0 26 Jun 2024
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Unlocking Pre-trained Image Backbones for Semantic Image Synthesis Tariq Berrada Jakob Verbeek Camille Couprie Alahari Karteek 39 6 0 20 Dec 2023
Detecting Spurious Correlations via Robust Visual Concepts in Real and AI-Generated Image Classification Preetam Prabhu Srikar Dammu Chirag Shah 37 2 0 03 Nov 2023
A Unified Framework for Generative Data Augmentation: A Comprehensive Survey Yunhao Chen Zihui Yan Yunjie Zhu 29 3 0 30 Sep 2023
Leveraging Optimization for Adaptive Attacks on Image Watermarks Nils Lukas Abdulrahman Diaa L. Fenaux Florian Kerschbaum WIGM 17 24 0 29 Sep 2023
Augmenting medical image classifiers with synthetic data from latent diffusion models Luke Sagers James A. Diao Luke Melas-Kyriazi Matthew Groh Pranav Rajpurkar A. Adamson V. Rotemberg Roxana Daneshjou Arjun K. Manrai DiffM MedIm 22 14 0 23 Aug 2023
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Diffusion Dataset Generation: Towards Closing the Sim2Real Gap for Pedestrian Detection A. Farley Mohsen Zand Michael A. Greenspan DiffM 27 1 0 16 May 2023
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One-shot Unsupervised Domain Adaptation with Personalized Diffusion Models Yasser Benigmim Subhankar Roy S. Essid Vicky Kalogeiton Stéphane Lathuilière DiffM 53 27 0 31 Mar 2023
Medical diffusion on a budget: textual inversion for medical image generation B. D. Wilde A. Saha R. T. Broek Henkjan Huisman DiffM MedIm 36 15 0 23 Mar 2023
Semantic-Guided Generative Image Augmentation Method with Diffusion Models for Image Classification Bohan Li Xiao Xu Xinghao Wang Yutai Hou Yunlong Feng Feng Wang Xuanliang Zhang Qingfu Zhu Wanxiang Che DiffM VLM 23 10 0 04 Feb 2023
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Protein Structure and Sequence Generation with Equivariant Denoising Diffusion Probabilistic Models N. Anand Tudor Achim DiffM 190 173 0 26 May 2022
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