As many different 3D volumes could produce the same 2D x‐ray image, inverting this
process is challenging. We show that recent deep learning‐based convolutional neural …

In this paper, we present ScalarFlow, a first large-scale data set of reconstructions of real-
world smoke plumes. In addition, we propose a framework for accurate physics-based …

The linearized Bregman method is a method to calculate sparse solutions to systems of
linear equations. We formulate this problem as a split feasibility problem, propose an …

We present a state‐of‐the‐art report on visualization in astrophysics. We survey
representative papers from both astrophysics and visualization and provide a taxonomy of …

We present a novel method to reconstruct a fluid's 3D density and motion based on just a
single sequence of images. This is rendered possible by using powerful physical priors for …

We propose a method of three-dimensional (3D) modeling of volumetric fluid phenomena
from sparse multi-view images (eg, only a single-view input or a pair of front-and side-view …

We present a three-dimensional (3-D) visualization of jet geometry using numerical methods
based on a Markov Chain Monte Carlo (MCMC) and limited memory Broyden–Fletcher …

The unprecedented quality of the observations available from the Atacama Large
Millimetre/sub-millimetre Array (ALMA) calls for analysis methods making the best of them …

This paper presents a new method for tomographic reconstruction of volumes from sparse
observational data. Application scenarios can be found in astrophysics, plasma physics, or …

Recent advances in the 3-D reconstruction of planetary nebulae are reviewed. We include
not only results for 3-D reconstructions, but also the current techniques in terms of general …