DoC students receive computer graphics design and rendering algorithms awards

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Computer rendered image

Third year Computer Graphics students generated photorealistic images using a computer graphics teaching framework in the Department of Computing.

As part of the Computer Graphics course, students are tasked with developing their own ray tracer using our specialized browser-based computer graphics programming tool. Ray tracing, an advanced algorithm in computer graphics, enables the creation of lifelike images.

As part of the final coursework project, students have the freedom to select and implement unique special effects. This often leads to remarkable outcomes, prompting us to recognize excellence through awards in two distinct categories each year. The first category, 'technical complexity,' acknowledges challenging effects such as refraction, volumetric shadows, and depth of field simulation. Meanwhile, the 'scene composition' category celebrates creative approaches to crafting visually stunning images that also convey compelling narratives.

Technical complexity award winners

The winner in the category technical achievement implemented physically correct refraction and mat surface scattering within well composed environment maps and physically correct distortion effects.

Winners:

  • Frederick Zou
  • Michael Andryskowski
  • Gursukh Sembi
  • Computer rendered image
  • Computer rendered image
  • Computer rendered image

Scene composition award winners

In the category scene composition, the winner generated relatively complex geometry within a restricted environment and made some fun choices of what to render.

Winners:

  • Petr Olsan
  • Isaac Lee
  • Jingxuan Zhang
  • Computer rendered image
  • Computer rendered image
  • Computer rendered image

Reporter

DR BERNHARD KAINZ

DR BERNHARD KAINZ
Department of Computing