Receler: Reliable Concept Erasing of Text-to-Image Diffusion Models via Lightweight ErasersChi-Pin Huang*,Kai-Po Chang*,Chung-Ting Tsai,Yung-Hsuan Lai,Fu-en Yang,Yu-Chiang Frank Wang· 0 min read PDF Cite Code ProjectType1PublicationEuropean Conference on Computer Vision (ECCV) 2024Last updated on Dec 5, 2025Source Themes ← RAPPER: Reinforced Rationale-Prompted Paradigm for Natural Language Explanation in Visual Question Answering Jan 1, 0001Select and Distill: Selective Dual-Teacher Knowledge Transfer for Continual Learning on Vision-Language Models Jan 1, 0001 →