Reference for Inverse Rendering I'm not sure this is the right place to ask for this reference but it's worth the shot since it is graphics related.
I'm looking for the very first paper describing what &quot;Inverse Rendering&quot; - By that I mean a machine learning system that given some renderer and a deep learning model and an image as input will provide you one or more maps describing how to render the same image.
I cannot manage to find anywhere a/the white paper the would describe how such system would work.
Can anyone provide a reference? Maybe not the very first paper but a white paper that might describe the fundamentals (I'd rather prefer papers to web articles).
Thank you
I did only quick google search and found this PhD thesis - &quot;Inverse rendering for computer graphics&quot; by [Marschner1998] - http://graphics.stanford.edu/~srm/thesis/thesis.pdf
Also two published papers - Ramamoorthi et al &quot;A Signal-Processing Framework for Inverse Rendering&quot; http://cseweb.ucsd.edu/~ravir/papers/invrend/invrend.pdf
And Yu, Smith - &quot;InverseRenderNet: Learning Single image inverse -
https://openaccess.thecvf.com/content_CVPR_2019/papers/Yu_InverseRenderNet_Learning_Single_Image_Inverse_Rendering_CVPR_2019_paper.pdf

Based on my experience, just follow prior works in this area and you'll get to the first or first worth mentioning paper in this area. With every paper in the area of raytracing, you'll get reference to [Whitted1980]. Every BRDF will get you back to
[CT1967] and every Spherical Harmonics work to [Green2003].
Based on what you wrote, you must be familiar with reading papers. Therefore, I would suggest to read &quot;Introduction&quot; and &quot;Prior work&quot; to find references to past works in this area of computer graphics.