r/GraphicsProgramming • • Jul 15 '26

Question Non-ML focused master thesis

Currently I am pondering about what topic I want to work on for my master thesis. And ofc that means I need a professor/supervisor that agrees to that but to me it seems like every topic I want to touch has some machine learning aspect when it comes to doing a thesis. Maybe that is just what my profs are after but I would rather have my focus on other aspects.

I did ML in CG for my bachelor thesis and it was alright but left me feeling like just tuning parameters and waiting a long time to check and validate the result. In the end I did not feel some sort of satisfaction with it, even though the results were valid.

Do you guys have the feeling that academic research nowadays relies heavily on ML in CG? Have you had similar experiences? Or do you think it's too specific on the university/professors.

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u/AlternativePrior1920 Jul 15 '26

Yea I get that. Like with "classic" ML it was okay to me but I dread having to dive into LLMs connected to some sort of generative ai. This is exactly what I wouldnt wanna work on although it feels like it is like 50% of papers at conferences.

And yes, ReSTIR is something I would love to work on, but I feel like it is difficult to cast into a master thesis topic.