Winners
The Computer Graphics Forum 2023 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 2023 Cover Image Contest
Peter Mindek
Nanographics
This image shows a Proliferating cell nuclear antigen (PCNA) molecule sliding along the DNA in a rotation-coupled translation manner. It is part of an animation explaining the process of DNA replication. It was rendered by Marion/Vj real-time molecular animation framework. While the PCNA molecule is loaded from a PDB file (6TNY), the DNA is generated procedurally. The bubbles are generated in real-time as a post-processing effect, using a previously rendered frame to create the illusion of refraction. While light-interacting bubbles are unrealistic at the atomic scale, they serve as anchors helping with spatial orientation while the camera moves around in the 3D scene. The motion blur was created by averaging 30 frames of the real-time rendered animation.
Second place:
Rohan Sawhney (1), Dario Seyb (2), Wojciech Jarosz (2) and Keenan Crane (1)
(1) Carnegie Mellon University
(2) Dartmouth College
In the image, we show the distribution of heat (inset) radiating from infinitely many blackbodies -- about 600M effective boundary vertices are visible from this viewpoint alone.
We visualize a 2D slice of the full 3D solution. We rendered this using a new Monte Carlo Walk on Spheres PDE solver that directly captures fine geometric detail and intricate spatially varying coefficients without meshing, sampling, or homogenizing the 3D domain, by building on techniques from volumetric rendering.
The image was created in Unity using a GPU implementation of our method.
Third place:
Yunquan Gu and Zihong Zhou
Dartmouth College
The rendering was created for Dartmouth's Rendering Algorithms course taught by Prof. Wojciech Jarosz, with the theme "coloring outside the lines".
Obsessed with the art of melting wax, we set up a scene with a set of candles placed on the wood table. A colorful image is created naturally when these vibrant candles burn, melt, and come together.
We modeled candles and melting wax and created waxy textures with delicate procedural shader nodes using Blender.
We extended darts (Monte Carlo ray tracer framework designed for the course) to support volumetric path tracing with multiple importance sampling, featuring homogeneous (fog) and heterogeneous (candle flame) participating media rendering. The candle flame is an emissive volume specified by NanoVDB and we use the blackbody radiation formula to compute the emissive radiance.