Abstract: Continual learning aims to enable models to progressively acquire knowledge from novel classes while preserving existing knowledge without catastrophic forgetting of old classes. To achieve ...
Abstract: This paper presents a framework for effectively applying knowledge distillation (KD) to super-resolution (SR) tasks for computer graphics (CG) images. Specifically, we propose TAKDSR, a KD ...