no code implementations • ECCV 2020 • Rui Li, Simeng Qiu, Guangming Zang, Wolfgang Heidrich
Through a combination of a new polarization-guided image formation model and a novel supervised learning framework for the interpretation of a ray-tracing polarized image formation model, a general method is obtained to tackle general image reflection removal problems.
1 code implementation • ICCV 2021 • Guangming Zang, Ramzi Idoughi, Rui Li, Peter Wonka, Wolfgang Heidrich
After getting estimated through the sinogram prediction module, the density field is consistently refined in the second module using local and non-local geometrical priors.
Ranked #6 on Novel View Synthesis on X3D
Computed Tomography (CT) Low-Dose X-Ray Ct Reconstruction +3
no code implementations • CVPR 2020 • Guangming Zang, Ramzi Idoughi, Congli Wang, Anthony Bennett, Jianguo Du, Scott Skeen, William L. Roberts, Peter Wonka, Wolfgang Heidrich
Visible light tomography is a promising and increasingly popular technique for fluid imaging.
no code implementations • ECCV 2018 • Guangming Zang, Mohamed Aly, Ramzi Idoughi, Peter Wonka, Wolfgang Heidrich
As a second, smaller contribution, we also show that when using such a proximal reconstruction framework, it is beneficial to employ the Simultaneous Algebraic Reconstruction Technique (SART) instead of the commonly used Conjugate Gradient (CG) method in the solution of the data term proximal operator.
1 code implementation • 11 Jun 2016 • Mohamed Aly, Guangming Zang, Wolfgang Heidrich, Peter Wonka
We present TRex, a flexible and robust Tomographic Reconstruction framework using proximal algorithms.