Towards More Robust and Efficient Monte Carlo Methods for Realistic Image Synthesis

Research output: Contribution to conferenceAbstract


In this extended abstract we present our research statement, motivation and methodology for this PhD project. This PhD research focuses on Monte Carlo methods in the field of realistic image synthesis. According to various studies, widely adopted sampling schemes prove not optimal. The overall goal of this PhD research project is to improve existing Monte Carlo methods and make them more robust and efficient. We will analyze pitfalls of existing methods and propose improved mathematical models and methods accordingly. We will verify and implement our proposed models. Performance will be analyzed following rigorous design science guidelines.
Original languageEnglish
Number of pages1
Publication statusPublished - 2018
EventEurographics 2018: The 39th annual conference of the european association for computer graphics - Aula, Delft, Netherlands
Duration: 16 Apr 201820 Apr 2018


ConferenceEurographics 2018
Abbreviated titleEG18
Internet address


  • realistic rendering
  • monte carlo methods


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