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Beijing Institute of Technology
- Beijing, China
- zhiyuan0112.github.io
Hyperspectal Image
Hybrid Spectral Denoising Transformer with Guided Attention (ICCV 2023)
Hyperspectral Image Super Resolution with Real Unaligned RGB Guidance (TNNLS 2023)
PyTorch implementation of "Deep Plug-and-Play Prior for Hyperspectral Image Restoration" (Neurocomputing 2022)
A blind hyperspectral reconstruction technique termed hyperspectral demosaicing (Hy-demosaicing) exploiting spectral low-rankness and spatial correlation of hyperspectral images.
Graph and Rank Regularized Matrix Recovery for Snapshot Spectral Image Demosaicing
Model for the manuscript named "Spectral Response Function Guided Deep Optimization-driven Network for Spectral Super-resolution" pbulished on TNNLS
PyTorch code for our paper "Image Super-Resolution with Non-Local Sparse Attention" (CVPR2021).
Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels (CVPR, 2019) (PyTorch)
3D Quasi-Recurrent Neural Network for Hyperspectral Image Denoising (TNNLS 2020)
A collection of high-impact and state-of-the-art SR methods
pytorch implementation of Super Resolution CNN as discussed in https://personal.ie.cuhk.edu.hk/~ccloy/files/eccv_2014_deepresolution.pdf
collection of super-resolution models & algorithms
Image Super-Resolution Using SRCNN, DRRN, SRGAN, CGAN in Pytorch
Collection of popular and reproducible image denoising works.
Blind Super-Resolution of Single Remotely Sensed Hyperspectral Image, IEEE TGSR (2023)