Winners
The Computer Graphics Forum 2022 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 2022 Cover Image Contest
Yoshiki Kaminaka, Yuki Mikamoto and Kazufumi Kaneda
Hiroshima University
Bubble flower
The bubble flower found on the campus of Hiroshima University is a new kind of fantasy plant that has soap bubbles drifted in the wind, just as grasses carry their pollen by the wind. Those who see this flower will remember their childhood and are freed from the tiredness of their hard work.
The flower with thin-film petals was modeled using Blender. The film thickness of each soap bubbles is changed to express different appearances of the interference color. To realistically render the interference color of petals and soap bubbles, we have extended the PBRT renderer to allow full spectral rendering based on wave optics. This extension also allows image based lighting with high dynamic range spectral images. The high dynamic range spectral image was converted from an RGB image of the campus landscape using our newly developed spectral super-resolution method consisting of a deep neural network with ensemble learning.
Second place:
Robert Liere
Center for Mathematics and Computer Science, Amsterdam
Attached I have a rendering of a 200 year old Ivory Chinese Puzzle Ball that I made in a project that we have with the Rijksmuseum.
I made the image from a hi-res CT scan of a Rijksmuseam ivory puzzle ball. Ambient occlusion was used to accentuate the ivory carvings on the outer layer as well as the geometric patterns of the inner layers.
The ball was scanned and reconstructed at our FlexRay lab. The CT volume size is 2K^3. The resolution of each voxel is about 15 microns.
Segmentation and model generation was done using ITK,VTK and my own image analysis tools.
The polygonal mesh consists of 17M points and 34M triangles.
See "Revealing the Secrets of Chinese Ivory Puzzle Balls: Quantifying the Crafting Process Using X-Ray Computed Tomography" https://bulletin.rijksmuseum.nl/article/view/11050/12009
Third place:
Yang Qi and Yang Liu
Department of Computer Science Dartmouth College
This image was rendered for the final project/rendering competition of the rendering algorithm course taught at Dartmouth College in Fall 2021. We rendered a feather hidden inside an amber.
The technologies used are following:
1. Surface Photon Mapping to render the caustics
2. Volumetric Photon Mapping and participating media to render the amber and the god ray in the scene.
3. hair bsdf model to render the feather.
4. Disney bsdf and microfacet bsdf for the rest of the materials.
The final image was a combination of the results using an area light and a directional light. The directional light part was rendered by photon mapping, the area light part was rendered by path tracing.