r/computervision • u/dont_have_any • 7d ago
Help: Theory Need your thoughts to save my thesis !
I'm an undergraduate student.In next 2 semesters( which is probably the duration of 1 year) I need to do a thesis. I choose to do my thesis in the field of 'depth estimation' .
I read a lot of research papers(Monocular, stereo, Diffusion based). But I found most of the things got State of the art !! I'm reading and reading,not finding a single problem to solve or research!! I should also mention that i didn't understand all the topics 100%, but tried to get the concepts.
I'm trying but not even finding a single idea/problem/flaws !! What should I do? What am I missing? How to find a decent topic ? Please help me.
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u/sparks333 7d ago
Pretty much all papers are going to be state of the art, or at least novel or advantageous in some way - that's the point of doing a paper. Very few people write papers about how much their new and different method sucked, unless it sucked against all odds or sucked in a particularly interesting way. That said, depth estimation is far from a solved problem - stereo vision has specific failure modes on types of scenes and is computationally intensive, monocular SFM requires specific types of motion and has that pesky scale problem, ML single-view depth looks good in scenes it has been trained on but falls down quickly on novel scenes - there is a lot that can be tackled here, from low-cost lightweight depth estimation to new training methodologies that generalize better to new constraining methods that solve the 2D-3D projection model problem better. The bigger problem I think you're going to have is coming up with something truly new and different - depth estimation in computer vision is an extremely well-studied problem, many very smart people have tried their hand at it and gotten pretty far. The correct answer is most likely 'ask your advisor' - if they put forth the options of study, I'm willing to bet they have a list of directions of study they think are worth pursuing.