Continual Learning of Diffusion Models with Generative Distillation

Continual Learning of Diffusion Models with Generative Distillation

23 November 2023

Tinne Tuytelaars

Gido M. van de Ven

Papers citing "Continual Learning of Diffusion Models with Generative Distillation"

6 / 6 papers shown

Title
CLoG: Benchmarking Continual Learning of Image Generation Models Haotian Zhang Junting Zhou Haowei Lin Hang Ye Jianhua Zhu Zihao Wang Liangcai Gao Yizhou Wang Yitao Liang DiffM VLM 29 0 0 07 Jun 2024
GUIDE: Guidance-based Incremental Learning with Diffusion Models Bartosz Cywiñski Kamil Deja Tomasz Trzciñski Bartlomiej Twardowski Lukasz Kuciñski DiffM 36 3 0 06 Mar 2024
ResAdapter: Domain Consistent Resolution Adapter for Diffusion Models Jiaxiang Cheng Pan Xie Xin Xia Jiashi Li Jie Wu Yuxi Ren Huixia Li Xuefeng Xiao Min Zheng Lean Fu 33 12 0 04 Mar 2024
t-DGR: A Trajectory-Based Deep Generative Replay Method for Continual Learning in Decision Making William Yue Bo Liu Peter Stone 13 4 0 04 Jan 2024
Continual Diffusion: Continual Customization of Text-to-Image Diffusion with C-LoRA James Smith Yen-Chang Hsu Lingyu Zhang Ting Hua Z. Kira Yilin Shen Hongxia Jin DiffM 126 95 0 12 Apr 2023
Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed Eric Luhman Troy Luhman DiffM 184 259 0 07 Jan 2021