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Each year we have the opportunity to change the photograph which appears on the cover of Computer Graphics Forum, journal of Eurographics, the European Association for Computer Graphics. Therefore we organize a competition for the Eurographics community to find next years cover image. This is your opportunity to show the world what you can do! Upload your images before November 30th 2020. Each picture must have been produced with the aid of computer graphics and must be your own copyright. See the upload page for further details.

Winner of the Computer Graphics Forum 2021 Cover Image 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
(3) Nanographics GmbH, TU Wien

The image shows the process of converting a scientific sketch into a 3D molecular visualization.We see a virion of SARSCoV- 2 whose spike protein has just attached to an ACE-2 receptor of an 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 an atomistic model of the virion created by statistical modeling. The scene was then rendered in real-time by an impostor-based molecular visualization algorithm. The virion model is accompanied by the procedurally generated cellmembrane populated by lipids and protein molecules. The background, which shows epithelial cells and their cilia, was modeled and rendered in Blender and composed into the visualization to provide the viewers with a context.

Winner of the Computer Graphics Forum 2020 Cover Image Contest

Winner of the Computer Graphics Forum 2020 Cover Image Contest

Károly Zsolnai-Fehér (1), Peter Wonka (2) and Michael Wimmer (1)
(1) TU Wien

This image shows the “Paradigm” scene from our paper named “Photorealistic Material Editing Through Direct Image Manipulation” paper. In this work, we presented a technique that aims to empower novice and intermediate-level users to synthesize high-quality photorealistic materials by only requiring basic image processing knowledge. Our method takes a marked up, non-physical image as an input and finds the closest matching photorealistic material that mimics this input. The entire process takes less than 30 seconds per material, and to demonstrate its usefulness, we have used it to populate this beautiful scene with materials.

Below, we explain three examples shown in this image (noting that the scene contains more synthesized materials). First, the gold material was “transmuted” from silver by editing the color balance of the image, second, the dirt material below was made by using image inpainting, while third, the vividness of the grass material was done through a simple contrast enhancement operation.

The geometry of the scene was created by Reynante Martinez.

For more information, the entirety of the paper and the described technique are available online.

Winner of the Computer Graphics Forum 2019 Cover Image Contest

Kai Lawonn (1) and Tobias Günther (2)
(1) University of Koblenz-Landau
(2) ETH Zürich

This image shows a triangulation of three ballet dancers at sunset. This stylization was obtained with our interactive and user-centered image triangulation algorithm, which is based on an interactive optimization that places triangles with constant color or linear color gradients to fit a target image. The efficient GPU implementation is described in the paper ‘Stylized Image Triangulation’ by Lawonn and Günther, DOI: 10.1111/cgf.13526.

Winner of the Computer Graphics Forum 2018 Cover Image Contest

Qingnan Zhou (1) and Alec Jacobson (2)
(1) Adobe Systems Inc.
(2) University of Toronto

This image shows all 10,000 models that compose the Thingi10k “Thingi10K: A Dataset of 10,000 3D-Printing Models”, winner of the SGP 2017 Dataset Award. The dataset is publicly available and the provided web interface allows filtering on mesh quality and statistics. The image is rendered using Mitsuba and a packing algorithm.