Achieving Perceptually-Acceptable Early Renders in Spectral Progressive Rendering by Introducing Bias

Achieving Perceptually-Acceptable Early Renders in Spectral Progressive Rendering by Introducing Bias

Đào, Tan (TU Delft Electrical Engineering, Mathematics and Computer Science)

Eisemann, E. (mentor)
van de Ruit, M. (mentor)
Jonker, C.M. (graduation committee)

Delft University of Technology

Computer Science and Engineering

CSE3000 Research Project

2022-06-24

Spectral Monte-Carlo rendering can simulate advanced light phenomena (e.g., dispersion, caustics, or iridescence), but require significantly more samples compared to trichromatic rendering to obtain noise-free images. Therefore, its progressive variant typically exhibits an extreme amount of chromatic noise in early renders. To that end, we propose a two-stage progressive approach. We initially restrict the original wavelength distribution, then slowly relax it. In the process of relaxing the range of wavelengths, all wavelengths that are outside of that restricted range will be propagated. Thereby, we lower variance and increase the perception of these early renders with little overhead.

Computer graphics
Spectral rendering
Progressive rendering

http://resolver.tudelft.nl/uuid:6b64f93d-9c18-415e-a1c1-4295f6bb9abc

Student theses

bachelor thesis

© 2022 Tan Đào