SuMa: A Subspace Mapping Approach for Robust and Effective Concept Erasure in Text-to-Image Diffusion Models
机构 * Qualcomm AI Research(高通人工智能研究)
专题命中 文生图 :text-to-image(title,abstract);diffusion(title,abstract);分类 cs.CV
视觉与机器人
图像生成、文生图、图像编辑、扩散模型和可控生成。
机构 * Qualcomm AI Research(高通人工智能研究)
专题命中 文生图 :text-to-image(title,abstract);diffusion(title,abstract);分类 cs.CV
机构 * Show Lab, National University of Singapore(新加坡国立大学Show实验室) ; ByteDance(字节跳动)
专题命中 文生图 :image generation(abstract);text-to-image(abstract);diffusion(abstract);inpainting(abstract)
Comments ICLR 2025
专题命中 文生图 :text-to-image(title,abstract);分类 cs.CV
Comments The paper has been withdrawn by the authors because the proposed approach is currently undergoing optimization and improvement. We are refining the methodology to achieve more robust and convincing results, and a revised version will be submitted once the enhancements are completed
机构 * Gaoling School of Artificial Intelligence, Renmin University of China(中国人民大学人工智能学院) ; School of Computer Science(计算机科学学院) ; Baidu Inc.(百度公司) ; School of Computer Science, Wuhan University(武汉大学计算机学院)
专题命中 文生图 :text-to-image(abstract);分类 cs.CV
专题命中 文生图 :text-to-image(abstract)
Comments The paper has been withdrawn by the authors because the current experimental results are not sufficiently reliable. Further optimization and refinement of the methodology are required before the work can be disseminated