The following publications are possibly variants of this publication:
- Joint Back Projection and Residual Networks for Efficient Image Super-ResolutionZhi-Song Liu, Wan-Chi Siu, Yui-Lam Chan. apsipa 2018: 1054-1060 [doi]
- Multi-level Dispersion Residual Network for Efficient Image Super-ResolutionYanyu Mao, Nihao Zhang, Qian Wang 0019, Bendu Bai, Wanying Bai, Haonan Fang, Peng Liu, Mingyue Li, Shengbo Yan. cvpr 2023: 1660-1669 [doi]
- An Efficient Group Feature Fusion Residual Network for Image Super-ResolutionPengcheng Lei, Cong Liu. ACCV 2021: 217-233 [doi]
- Residual Local Feature Network for Efficient Super-ResolutionFangyuan Kong, Mingxi Li, Songwei Liu, Ding Liu, Jingwen He, Yang Bai, Fangmin Chen, Lean Fu. cvpr 2022: 765-775 [doi]
- Multi-scale Residual Network for Image Super-ResolutionJuncheng Li, Faming Fang, Kangfu Mei, Guixu Zhang. eccv 2018: 527-542 [doi]
- Residual shuffle attention network for image super-resolutionXuanyi Li, Zhuhong Shao, Bicao Li, Yuanyuan Shang, Jiasong Wu, Yuping Duan. mva, 34(5):84, September 2023. [doi]
- Fractal Residual Network for Face Image Super-ResolutionYuchun Fang, Qicai Ran, Yifan Li. icann 2020: 15-26 [doi]