📝 Publications
($*$ equal contribution, # corresponding author)
Conference
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[Preprint] STCDiT: Spatio-Temporally Consistent Diffusion Transformer for High-Quality Video Super-Resolution
Junyang Chen, Jiangxin Dong, Long Sun, Yixin Yang, Jinshan Pan
[Paper] [Supp] [Github] -
[AAAI 2026] PortraitSR: Artist-Inspired Prior Learning for Progressive Face Super-Resolution
Miaoqing Wang, Jiaxu Leng, Shuang Li, Changjiang Kuang, Long Sun
[Paper] [Supp] [Github] -
[CVPR 2025] Efficient Video Super-Resolution for Real-time Rendering with Decoupled G-buffer Guidance
Mingjun Zheng*, Long Sun*, Jiangxin Dong, Jinshan Pan
[Paper] [Supp] [Dataset] [Github] -
[ECCV 2024] SMFANet: A Lightweight Self-Modulation Feature Aggregation Network for Efficient Image Super-Resolution
Mingjun Zheng*, Long Sun*, Jiangxin Dong, Jinshan Pan
[Paper] [Supp] [Github] -
[ICCV 2023] Spatially-Adaptive Feature Modulation for Efficient Image Super-Resolution
Long Sun, Jiangxin Dong, Jinhui Tang, Jinshan Pan
[Paper] [Supp] [Github] [Colab Demo] -
[NeurIPS 2022] ShuffleMixer: An Efficient ConvNet for Image Super-Resolution
Long Sun, Jinshan Pan, Jinhui Tang
[Paper] [Supp] [Github]
Journal
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[Preprint] RawEnhancer: Attentive Multi-Exposure Selection for Bracketing Image Reconstruction
Long Sun, Jinshan Pan, Rushi Lan, Yazhou Yao, Jinhui Tang
[Paper] [Supp] [Github] -
[Preprint] Adaptive Sparse Self-Attention for Efficient Image Super-resolution and Beyond
Jinshan Pan, Long Sun, Lianhong Song, Jiangxin Dong, Jian Yang, Maocheng Zhao, Jinhui Tang
[Paper] [Supp] [Github] -
[TPAMI 2025] Learning Efficient Deep Discriminative Spatial and Temporal Networks for Video Deblurring
Jinshan Pan, Long Sun, Boming Xu, Jiangxin Dong, Jinhui Tang
[Paper] [Supp] [Github] -
[IEEE JAS 2021] Lightweight Image Super-Resolution via Weighted Multi-Scale Residual Network
Long Sun, Zhenbing Liu, Xiyan Sun, Licheng Liu, Rushi Lan, Xiaonan Luo
[Paper] [Supp] [Github] -
[IEEE TCYB 2021] MADNet: A Fast and Lightweight Network for Single-Image Super Resolution
Rushi Lan, Long Sun, Zhenbing Liu, Huimin Lu, Cheng Pang, Xiaonan Luo
[Paper] [Supp] [Github]