2 papers
cs.CV2025
Dataset Distillation for Super-Resolution without Class Labels and Pre-trained Models
Sunwoo Cho, Yejin Jung, Nam Ik Cho +1
Training deep neural networks has become increasingly demanding, requiring large datasets and significant computational resources, especially as model complexity advances. Data dis…
cs.CV2025
Efficient Attention-Sharing Information Distillation Transformer for Lightweight Single Image Super-Resolution
Karam Park, Jae Woong Soh, Nam Ik Cho
Transformer-based Super-Resolution (SR) methods have demonstrated superior performance compared to convolutional neural network (CNN)-based SR approaches due to their capability to…