3 papers
cs.CV2025
MAT: Multi-Range Attention Transformer for Efficient Image Super-Resolution
Chengxing Xie, Xiaoming Zhang, Linze Li +4
Image super-resolution (SR) has significantly advanced through the adoption of Transformer architectures. However, conventional techniques aimed at enlarging the self-attention win…
eess.IV2024
Efficient Single Image Super-Resolution with Entropy Attention and Receptive Field Augmentation
Xiaole Zhao, Linze Li, Chengxing Xie +5
Transformer-based deep models for single image super-resolution (SISR) have greatly improved the performance of lightweight SISR tasks in recent years. However, they often suffer f…
eess.IV2024
Large Kernel Distillation Network for Efficient Single Image Super-Resolution
Chengxing Xie, Xiaoming Zhang, Linze Li +4
Efficient and lightweight single-image super-resolution (SISR) has achieved remarkable performance in recent years. One effective approach is the use of large kernel designs, which…