Editing Massive Concepts in Text-to-Image Diffusion Models

Editing Massive Concepts in Text-to-Image Diffusion Models

20 March 2024

Enze Xie

Yue Wu

Papers citing "Editing Massive Concepts in Text-to-Image Diffusion Models"

9 / 9 papers shown

Title
SAFREE: Training-Free and Adaptive Guard for Safe Text-to-Image And Video Generation Jaehong Yoon Shoubin Yu Vaidehi Patil Huaxiu Yao Joey Tianyi Zhou 94 21 0 16 Oct 2024
Six-CD: Benchmarking Concept Removals for Benign Text-to-image Diffusion Models Jie Ren Kangrui Chen Yingqian Cui Shenglai Zeng Hui Liu Yue Xing Jiliang Tang Lingjuan Lyu 70 2 0 21 Jun 2024
ReFACT: Updating Text-to-Image Models by Editing the Text Encoder Dana Arad Hadas Orgad Yonatan Belinkov KELM 89 19 0 01 Jun 2023
Safe Latent Diffusion: Mitigating Inappropriate Degeneration in Diffusion Models P. Schramowski Manuel Brack Bjorn Deiseroth Kristian Kersting 83 286 0 09 Nov 2022
Mass-Editing Memory in a Transformer Kevin Meng Arnab Sen Sharma A. Andonian Yonatan Belinkov David Bau KELM VLM 81 543 0 13 Oct 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents Aditya A. Ramesh Prafulla Dhariwal Alex Nichol Casey Chu Mark Chen VLM DiffM 271 6,768 0 13 Apr 2022
Locating and Editing Factual Associations in GPT Kevin Meng David Bau A. Andonian Yonatan Belinkov KELM 143 1,275 0 10 Feb 2022
Cascaded Diffusion Models for High Fidelity Image Generation Jonathan Ho Chitwan Saharia William Chan David J. Fleet Mohammad Norouzi Tim Salimans 109 1,196 0 30 May 2021
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric Richard Y. Zhang Phillip Isola Alexei A. Efros Eli Shechtman Oliver Wang EGVM 249 11,610 0 11 Jan 2018