Winners
The Computer Graphics Forum 2021 Cover Image has been selected by the CGF editorial board. We thanks all people who submitted this year, and hope that they will participate to the next year contest.
Winner of the Computer Graphics Forum 2021 Cover Image Contest
Tatjana Hirschmugl (1), Tobias Klein (1), Ondřej Strnad (2), Deng Luo (2), Ivan Viola (2) and Peter Mindek (3)
(1) Nanographics GmbH
(2) KAUST
(3) Nanographics GmbH, TU Wien
The image shows a process of converting a scientific sketch into a 3D molecular visualization. We see a virion of SARS-CoV-2 whose spike protein has just attached to an ACE-2 receptor of a epithelial cell. To illustrate this process, the scene was roughly sketched by an illustrator. The sketch was then converted into a 3D visualization by using atomistic model of the virion created by statistical modelling. The scene was then rendered by impostor-based real-time molecular visualization algorithm. The virion model is accompanied by the procedurally generated cell membrane populated by lipids and proten molecules. The background, which shows epithelial cells and their cilia, was modelled and rendered in blender and composed into the visualization to provide the viewers with a context.
Second place:
Dennis Bukenberger and Hendrik Lensch
Uni Tübingen
"Be formless, shapeless, like water."
Inspired by the famous Bruce Lee quote, we developed a meshing procedure, based on the ability of water to assimilate any given shape, if being poured into it.
While the procedure can be applied for remeshing tasks or to produce meshes from signed distance fields or volume data, the image shows its primary target application: point cloud reconstruction.
The reconstruction result is shown in the top half, the bottom half illustrates the 3D scanned input point cloud (Tanagra 3D Scan, Digne, 2011).
However, this image has virtually nothing in common with the procedure itself, it is merely a literal visualization of the concept idea: water materializing a point cloud.
The rendering was created using Blender.
Third place:
Miguel Crespo (1), Adrian Jarabo (2) and Adolfo Muñoz (1)
(1) Universidad de Zaragoza - I3A
(2) Universidad de Zaragoza - I3A, and Centro Universitario de la Defensa Zaragoza
The image shows a physically-based rendering of a beautiful street scenario featuring a bistro restaurant rendered using the technique described The scene geometry combines high-frequency details that enrich the shot with global illumination, making it a difficult setup prone to noise.
Our method works by combining quadrature rules and Monte Carlo integration to efficiently handle both low-frequency areas and high-frequency details while being agnostic to the underlying signal (e.g., motion blur, depth of field, transmittance). Its generality allows using any multiple importance sampling strategies which further enhances the noise reduction and allows it to be used in any problem regarding numerical integration.