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eess.IV2024
PlainUSR: Chasing Faster ConvNet for Efficient Super-Resolution
Yan Wang, Yusen Li, Gang Wang +1
Reducing latency is a roaring trend in recent super-resolution (SR) research. While recent progress exploits various convolutional blocks, attention modules, and backbones to unloc…
eess.IV2023★ 41 cited
DDistill-SR: Reparameterized Dynamic Distillation Network for Lightweight Image Super-Resolution
Yan Wang, Tongtong Su, Yusen Li +3
Recent research on deep convolutional neural networks (CNNs) has provided a significant performance boost on efficient super-resolution (SR) tasks by trading off the performance an…
eess.IV2022★ 19 cited
Multi-scale Attention Network for Single Image Super-Resolution
Yan Wang, Yusen Li, Gang Wang +1
ConvNets can compete with transformers in high-level tasks by exploiting larger receptive fields. To unleash the potential of ConvNet in super-resolution, we propose a multi-scale…