4 papers
SHARE: A Fully Unsupervised Framework for Single Hyperspectral Image Restoration
Jiangwei Xie, Zhang Wen, Mike Davies +1
Hyperspectral image (HSI) restoration is a fundamental challenge in computational imaging and computer vision. It involves ill-posed inverse problems, such as inpainting and super-…
Equivariant Learning for Unsupervised Image Dehazing
Zhang Wen, Jiangwei Xie, Dongdong Chen
Image Dehazing (ID) aims to produce a clear image from an observation contaminated by haze. Current ID methods typically rely on carefully crafted priors or extensive haze-free gro…
Fast Simulation of Damage Diffusion Distribution in Scanning Transmission Electron Microscopy
Amir Javadi Rad, Amirafshar Moshtaghpour, Dongdong Chen +1
Scanning Transmission Electron Microscopy (STEM) is a critical tool for imaging the properties of materials and biological specimens at atomic scale, yet our understanding of relev…
DeepInverse: A Python package for solving imaging inverse problems with deep learning
Julián Tachella, Matthieu Terris, Samuel Hurault +24
DeepInverse is an open-source PyTorch-based library for solving imaging inverse problems. The library covers all crucial steps in image reconstruction from the efficient implementa…