$Controllable Unlearning for Image-to-Image Generative Models via $\varepsilon$-Constrained Optimization$

Controllable Unlearning for Image-to-Image Generative Models via $\varepsilon$ -Constrained Optimization

20 February 2025

Papers citing "Controllable Unlearning for Image-to-Image Generative Models via $\varepsilon$-Constrained Optimization"

5 / 5 papers shown

Title
Machine Unlearning for Image-to-Image Generative Models Guihong Li Hsiang Hsu Chun-Fu Chen R. Marculescu MU VLM 62 24 0 01 Feb 2024
A Survey of Machine Unlearning Thanh Tam Nguyen T. T. Huynh Phi Le Nguyen Alan Wee-Chung Liew Hongzhi Yin Quoc Viet Hung Nguyen MU 77 216 0 06 Sep 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications Ling Yang Zhilong Zhang Yingxia Shao Shenda Hong Runsheng Xu Yue Zhao Wentao Zhang Bin Cui Ming-Hsuan Yang DiffM MedIm 211 1,277 0 02 Sep 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
Palette: Image-to-Image Diffusion Models Chitwan Saharia William Chan Huiwen Chang Chris A. Lee Jonathan Ho Tim Salimans David J. Fleet Mohammad Norouzi DiffM VLM 320 1,570 0 10 Nov 2021