Mar 27, 2023 · In this study, we take the first step in this direction and evaluate the continual learning (CL) properties of diffusion models.

In this study, we take the first step in this direction and evaluate the continual learning (CL) properties of diffu- sion models. We begin by ...

Sep 7, 2024 · In continual learning (CL), training samples come in subsequent tasks, and the trained model can access only a single task at a time. To replay ...

Mar 27, 2023 · Diffusion models have achieved remarkable success in generating high-quality images thanks to their novel training procedures applied to ...

This paper proposes to introduce knowledge distillation into generative replay of diffusion models, which substantially improves the performance of the ...

Poster Presentations ; Exploring Continual Learning of Diffusion Models · Michał Zając, Kamil Deja, Anna Kuzina, Jakub M Tomczak, Tomasz Trzcinski, Florian ...

Oct 8, 2024 · Explore continual learning techniques for diffusion models using generative distillation to enhance model performance.

Mar 21, 2024 · To address the challenge of catastrophic forgetting in Continual Learning more efficiently, this paper introduces the Gradient Projection Class- ...

We focus on sampling process of a diffusion model and explore how this process might be instructed by a pre- trained classifier. Specifically, we calculate ...

Oct 6, 2024 · A critical aspect of continual learning in diffusion models is the ability to evolve dynamically. This involves updating the model's structure ...