Search Results for author:
Found 5 papers, 2 papers with code
Reflection Separation via Multi-bounce Polarization State Tracing
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.
IntraTomo: Self-Supervised Learning-Based Tomography via Sinogram Synthesis and Prediction
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
TomoFluid: Reconstructing Dynamic Fluid From Sparse View Videos
Visible light tomography is a promising and increasingly popular technique for fluid imaging.
Super-Resolution and Sparse View CT Reconstruction
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.
TRex: A Tomography Reconstruction Proximal Framework for Robust Sparse View X-Ray Applications
We present TRex, a flexible and robust Tomographic Reconstruction framework using proximal algorithms.
