11 citations · 15 across the 4 of their papers we have counts for
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cs.CV2024
Multi-Scale Implicit Transformer with Re-parameterize for Arbitrary-Scale Super-Resolution
Jinchen Zhu, Mingjian Zhang, Ling Zheng +1
Recently, the methods based on implicit neural representations have shown excellent capabilities for arbitrary-scale super-resolution (ASSR). Although these methods represent the f…
cs.CV2023★ 4 cited
Efficient Mixed Transformer for Single Image Super-Resolution
Ling Zheng, Jinchen Zhu, Jinpeng Shi +1
Recently, Transformer-based methods have achieved impressive results in single image super-resolution (SISR). However, the lack of locality mechanism and high complexity limit thei…
cs.CV2023★ 11 cited
Image Super-Resolution using Efficient Striped Window Transformer
Jinpeng Shi, Hui Li, Tianle Liu +5
Transformers have achieved remarkable results in single-image super-resolution (SR). However, the challenge of balancing model performance and complexity has hindered their applica…