hezw2016 Goto Github PK
Name: He Zewei
Type: User
Company: Zhejiang University
Bio: Post-doc of Zhejiang University & Research Associate of Louisiana State University
Location: Hangzhou
Name: He Zewei
Type: User
Company: Zhejiang University
Bio: Post-doc of Zhejiang University & Research Associate of Louisiana State University
Location: Hangzhou
Code for paper: Y. Cao, M. Y. Yang, and C. Tisse, “Effective Strip Noise Removal for Low-textured Infrared Images Based on 1D Guided Filtering,” IEEE Trans. Circuits Syst. Video Technol., vol. 26, no. 12, pp. 2176–2188, 2016.
Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.
CAMixerSR: Only Details Need More “Attention” (CVPR 2024)
Testing code for CDN_MRF: Z. He, S. Tang, J. Yang, Y. Cao, M. Y. Yang, and Y. Cao, “Cascaded Deep Networks with Multiple Receptive Fields for Infrared Image Super-Resolution,” IEEE Trans. Circuits Syst. Video Technol., 2018. (Accepted)
unofficial re-implementation for Y. Hu, J. Li, Y. Huang, and X. Gao, “Channel-Wise and Spatial Feature Modulation Network for Single Image Super-Resolution,” IEEE Trans. Circuits Syst. Video Technol., vol. 30, no. 11, pp. 3911–3927, Nov. 2020.
Official implementation of DEA-Net
Testing code for "Zewei He, Yanpeng Cao, Yafei Dong, Jiangxin Yang, Yanlong Cao, and Christel-Löic Tisse, "Single-image-based nonuniformity correction of uncooled long-wave infrared detectors: a deep-learning approach," Appl. Opt. 57, D155-D164 (2018)"
Learning A Sparse Transformer Network for Effective Image Deraining (CVPR 2023)
Official repository of paper “IML-ViT: Benchmarking Image manipulation localization by Vision Transformer”
PromptIR: Prompting for All-in-One Blind Image Restoration
Official implementation of "Prompt-based test-time real image dehazing: a novel pipeline".
VDSR (CVPR2016) pytorch implementation
[CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.
Side window is better than Full window
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