Faithful human performance capture and free-view rendering from sparse RGB observations
is a long-standing problem in Vision and Graphics. The main challenges are the lack of …

Rendering an accurate image of an isosurface in a volumetric field typically requires large
numbers of data samples. Reducing this number lies at the core of research in volume …

We introduce a novel transmittance model to improve the volumetric representation of 3D
scenes. The model can represent opaque surfaces in the volumetric light transport …

The field of connectomics aims to reconstruct the wiring diagram of Neurons and synapses
to enable new insights into the workings of the brain. Reconstructing and analyzing the …

Sample based ray marching is an effective method for direct volume rendering of
unstructured meshes. However, sampling such meshes remains expensive, and strategies …

The applications of computer-generated modelling in surgery are increasing and diverse.
Surgeons utilise these models for preoperative planning and intraoperative guidance. In this …

We present a hybrid multi-volume rendering approach based on a novel Residency Octree
that combines the advantages of out-of-core volume rendering using page tables with those …

Volume data these days is usually massive in terms of its topology, multiple fields, or
temporal component. With the gap between compute and memory performance widening …

New web technologies have enabled the deployment of powerful GPU-based computational
pipelines that run entirely in the web browser, opening a new frontier for accessible scientific …

One will not understand the brain without an integrated exploration of structure and function,
these attributes being two sides of the same coin: together they form the currency of …