How to Continually Adapt Text-to-Image Diffusion Models for Flexible
Customization?

How to Continually Adapt Text-to-Image Diffusion Models for Flexible Customization?

23 October 2024

Meng Cao

Fahad Shahbaz Khan

Papers citing "How to Continually Adapt Text-to-Image Diffusion Models for Flexible Customization?"

5 / 5 papers shown

Title
ConceptGuard: Continual Personalized Text-to-Image Generation with Forgetting and Confusion Mitigation Zirun Guo Tao Jin DiffM 51 0 0 13 Mar 2025
K-LoRA: Unlocking Training-Free Fusion of Any Subject and Style LoRAs Ziheng Ouyang Zhen Li Qibin Hou MoMe OffRL 139 2 0 25 Feb 2025
CE-SDWV: Effective and Efficient Concept Erasure for Text-to-Image Diffusion Models via a Semantic-Driven Word Vocabulary Jiahang Tu Qian Feng Chufan Chen Jiahua Dong Hanbin Zhao Chao Zhang Hui Qian 72 2 0 28 Jan 2025
PhysGame: Uncovering Physical Commonsense Violations in Gameplay Videos Meng Cao Haoran Tang Haoze Zhao Hangyu Guo Jing Liu Ge Zhang Ruyang Liu Qiang Sun Ian Reid Xiaodan Liang 100 2 0 02 Dec 2024
Low-Rank Continual Personalization of Diffusion Models Łukasz Staniszewski Katarzyna Zaleska Kamil Deja DiffM 44 0 0 07 Oct 2024