We’re happy and honored to announce that our immersive plenoptic dataset paper “SILVR: A Synthetic Immersive Large-Volume Plenoptic Dataset” has been rewarded with the ACM MMSys 2022 Best Open Dataset and Software Paper. The 13th ACM Multimedia Systems Conference was held from 14th to 17th June 2022 in Athlone, Ireland.
The paper presents one of the first-ever plenoptic datasets to exhibit the following unique properties:
- synthetic: Rendered using Blender 3.0 with Cycles, the images are perfect and do not need any calibration. Camera positions and lens configurations are known exactly and provided in the corresponding JSON files.
- large interpolation volume: The camera configurations span a relatively large volume (a couple of meters in diameter).
- large field of view: In order to maximize the interpolation volume (a.k.a: the walkable volume of light), the images are rendered using fisheye lenses with a field of view of 180 degrees.
- immersive: Thanks to the large field of view and positioning of the viewpoints, every point within the interpolation volume has a full panoramic field of view of light information available.
- realism: The selected scenes have reasonable realism.
- depth maps: As the images are computer-generated renders, we provide depth maps for every image.
- specularities and reflections: The scenes exhibit some specularities or reflections, including mirrors. Reflections and mirrors always have the depth of the surface, and not the apparent depth of the reflections.
- volumetrics: Some volumetrics are also present (fire, smoke, fog) in the
gardenscene. - densly rendered: The camera setup is rather dense (around 10cm spacing between cameras).
Panoramic render of the barbershop scene, one of the scenes included in SILVR.
More information and details can be found via the links below:
